LumaTrack GTM Strategy v2

01

Executive Summary

Three problems stand between [N] users and a fundable growth trajectory.

$25.47B

US Medical Aesthetics Market (2025)

Projected $65.24B by 2035 at 9.86% CAGR

Zero

Direct Competitors in Post-Treatment Tracking

Genuine blue ocean opportunity

[N]

Current Users

Target: [Growth Target] in 12 months

LEM Rate

North Star Metric

% of onboarded users who track progress at least once post-treatment

The Three Critical Problems

1

The Timing Mismatch

Women download LumaTrack from a paid ad but don't have a treatment to track right now. The app's core value (VP2: tracking) requires something to track, but paid ads reach people at random moments in their treatment cycle.

Result: 90% never log in a second time.

2

The [X]% Onboarding Drop-Off

Of users who install, [X]% never complete onboarding. The selfie capture, quiz length, and account creation wall each add friction before any value is delivered.

Result: Every user who doesn't onboard is invisible to the entire lifecycle system.

3

Near-Zero LEM Contribution

Almost no users reach a Luma Evidence Moment -- the point where they track progress 1-2 times post-treatment. Without LEMs, there is no proof the product thesis works, no shareable content for viral loops, and no data for the investor narrative.

Result: No proof of product-market fit, no viral engine, no fundable data.

The Unified Strategy

The strategy solves all three problems simultaneously by:

(a) Acquiring users at the moment of treatment via in-clinic B2B2C
(b) Holding timing-mismatched users via VP1 value and email nurture
(c) Reducing onboarding to 3 taps before value delivery
(d) Building an automated milestone-based lifecycle system that shepherds users from install to LEM with minimal friction

Growth Operating Principles

1

Fix the funnel before filling it

Onboarding and activation must improve before scaling paid acquisition.

2

Separate the GTM question from the product question

Day 40 diagnostic: if in-clinic users have 3-5x higher LEM rates, it's a GTM problem. If neither cohort has LEMs, it's a product problem.

3

Treat LEMs as the only metric that matters

Everything upstream feeds into LEM contribution rate. Everything downstream flows from it.

4

Respect the timing mismatch

VP1 holds users until they have something to track. In-clinic acquires at the moment of treatment.

5

Don't monetize prematurely

Prove the product thesis with LEMs before introducing subscription or monetization.

6

Use the brand advantage

LumaTrack's brand feels like a trusted friend, not a corporate app. Founder-led content and community over feature lists.

7

Think in cohorts, not averages

Every user tagged by acquisition source, VP entry, and persona proxy. All metrics analyzed at cohort level.

02

The Market

A $25.47B US market growing at 9.86% CAGR with zero direct competitors in post-treatment tracking.

LumaTrack market sizing: from $25.47B total market to ~700K-900K high-fit potential users

Total Addressable Market (TAM)

The US medical aesthetics market was valued at $25.47 billion in 2025, projected to reach $65.24 billion by 2035 at a CAGR of 9.86% (Precedence Research). Non-surgical aesthetics spending reached $17.5 billion in 2024, up from $15.1 billion in 2022 (Guidepoint/Qsight).

$25.47B

US Medical Aesthetics Market (2025)

Precedence Research -- broadest definition

$17.5B

US Non-Surgical Procedures (2024)

Up from $15.1B in 2022

28.5M+

Annual US Non-Surgical Procedures

ASPS 2024 Report

20M+

US Women Receiving Treatments Annually

Industry Analysis

TAM: Multiple Sources Triangulated

Source	US Market Value (2024-2025)	Projected Value	CAGR	Notes
Precedence Research	$25.47B (2025)	$65.24B by 2035	9.86%	Broadest: devices + injectables + services
MarketsandMarkets	$7.62B (2024)	$16.38B by 2030	13.6%	Narrower: devices + injectables, excludes service fees
IMARC Group	$4.1B (2024)	$8.8B by 2033	8.7%	Narrowest: medical aesthetics devices only
Custom Market Insights	~$10B (2024)	~$20B+ by 2030	~12%	Mid-range estimate

Why the range matters

The $4.1B-$25.47B spread reflects different market definitions. LumaTrack's TAM includes full consumer spend on non-surgical treatments ($25.47B), because the app tracks the entire treatment lifecycle -- not just devices or injectables.

Metric	Value	Source
US medical aesthetics market (2025)	$25.47B	Precedence Research
US non-surgical procedures market (2024)	$17.5B	Guidepoint/Qsight
US facial injectables market (2026 est.)	$7.83B	Fortune Business Insights
Global facial injectables market (2024)	$12.53B	Grand View Research
Annual US non-surgical procedures (2024)	28.5M+	ASPS 2024 Report
US women receiving treatments annually	20M+	Industry Analysis

LumaTrack-Specific TAM

20M+ American women receive aesthetic treatments annually. At a digital health app ARPU of $30-100/year, the consumer software TAM is $600M-$2B. This excludes B2B revenue (provider analytics, sponsored listings), which could add $500M+ at scale.

Serviceable Addressable Market (SAM)

LumaTrack's SAM narrows to women aged 30-55, HHI $100K+, in urban/suburban Tier 1-2 US metros, who receive non-surgical treatments and are iOS users.

Filter	Population	Source
US women receiving non-surgical treatments	~17M	ASPS 2024 (85% of 20M+)
Aged 30-55 (peak treatment years)	~8.5M	ASPS: avg Botox patient age 43, peak 35-50
HHI $100K+ in Tier 1-2 metros	~3.4M	Census ACS, ~40% of age-filtered demo
iOS users (affluent skew)	~2.2M	~65% iOS share among affluent US women
Willing to use a tracking app	~660K-880K	~30-40% digital health adoption rate

700K-900K

SAM: High-Fit Potential Users

Women 30-55, HHI $100K+, iOS, Tier 1-2 metros

$21M-$27M/yr

SAM Revenue Potential

At blended ARPU of $30/year (conservative)

Serviceable Obtainable Market (SOM)

Metric	Target	Basis
Engaged users (12-month)	[Growth Target]	10-20x current base
Revenue (subscription Month 6-7)	$50K-$100K ARR	Mostly affiliate + early subscription
SOM as % of SAM	<1%	Massive headroom

US non-surgical aesthetics market trajectory: from pandemic crash to mature growth

Market Growth Trajectory (2019-2026)

Year	US Non-Surgical Market	YoY Growth	Key Event
2019	~$12B	Baseline	Pre-pandemic peak
2020	~$9B	-25%	COVID shutdown, procedure pause
2021	~$13B	+44%	"Zoom boom" -- video call self-awareness drove demand
2022	~$15.1B	+16%	Revenge spending + normalization
2023	~$16.5B	+9%	Growth decelerating; economic caution
2024	~$17.5B	+4-6%	Stabilization; GLP-1 crossover begins
2025 (est.)	~$18.5B	+4-5%	Mature growth; spending rose 4% through Q3
2026 (proj.)	~$19.5-20B	+5-6%	Expected rebound as GLP-1 body contouring accelerates

Key Takeaway

The market shifted from pandemic-era hypergrowth (44% in 2021) to mature, steady growth (4-6%). Mature markets with predictable spending favor utility tools over hype-driven products.

Procedure Volume Data (2024, ASPS)

Procedure Category	2024 Volume	YoY Growth	Share of Non-Surgical
Neuromodulators (Botox, Dysport, Xeomin)	9,883,711	+4%	34.7%
HA fillers (Juvederm, Restylane)	5,331,426	+1%	18.7%
Non-HA fillers (Sculptra, Radiesse)	932,861	+1%	3.3%
Skin resurfacing (all types)	Not specified	+6%	Growing category
Total minimally invasive	28.5M+	+3%	--

9.9M

Annual Botox/Neurotoxin Procedures

3-4 month rebooking cycle = ideal for tracking

$6.4B

Neurotoxin Consumer Spending (2024)

31% of total -- up 8% YoY

62%

Non-Surgical Share of All Treatments

ISAPS 2024 -- the shift continues

Key Market Drivers

1

Non-Surgical Dominance

Non-surgical procedures now represent 62% of total medical aesthetics treatments worldwide (ISAPS 2024). Lower risk, minimal downtime, and lower cost drive adoption.

2

Demographic Expansion

Gen Z share grew from 4% to 10% of aesthetic patients (2017-2024). "Prejuvenation" pulls younger demographics in earlier. The 30-54 age group remains ~50% of all procedures.

3

GLP-1 Crossover

60% of medspas offered GLP-1 treatments by end of 2024. 40% of GLP-1 patients are entirely new to aesthetics. Revenue at GLP-1-offering practices increased 9% vs. 2% decline at non-offering practices.

LumaTrack implication: New GLP-1 patients are Priya personas -- research-heavy, first-timer anxiety, high need for guidance.

4

Med Spa Proliferation & Consolidation

Only 3% of med spas are PE-owned, but consolidation expected to increase ~10% over 4-5 years. MedSpa Partners acquired 40+ clinics backed by $275M from Morgan Stanley PE -- ideal B2B2C partners.

5

Consumer Sophistication

BCG identified six distinct consumer types (2024). 1 in 3 Americans plan to increase appearance spending in 2025. Women spend an average of $1,064/year on appearance maintenance.

6

Normalization

Treatment discussion has moved from private to public. 1,158 posts matching "first time botox" in 12 months across just 4 subreddits. Women with HHI $100K+ are 15% more likely to say cosmetic procedures are "normal."

Consumer Demographics

Demographic	Data	Source
Gender split	85% women, 15% men (growing)	ASPS
Average Botox patient age	43 years old	Industry data
Peak treatment age range	35-50 (~50% of procedures)	ASPS
Gen Z share (growing)	10% (up from 4% in 2017)	Guidepoint
Average annual spend (regular user)	$3,600-$12,000+	Industry estimates
Average injectable visit cost	$400-$800	Market data
Treatment frequency (Botox)	Every 3-4 months	Standard protocol
Treatment frequency (HA filler)	Every 6-12 months	Standard protocol

Market Headwinds

Headwind	Severity	Impact on LumaTrack
Growth deceleration (4% vs. 12-15% pre-2023)	Medium	Slower user pool expansion, but still growing
Filler volume softening (+1% vs. neurotoxins +4%)	Low	Botox is primary use case; fillers secondary
Beauty tech funding drop (71.6% decline in 2025)	High	Tougher fundraising; must show strong metrics
GLP-1 growth deceleration (55% in 2024 vs. 235% in 2023)	Low	Still net positive for new patient acquisition
Body contouring decline (~50% below 2019 peak)	Low	LumaTrack focuses on face/neck, not body
Provider pricing pressure (56% cite barriers)	Medium	Cost-conscious consumers need ROI tracking more
Regulatory uncertainty (FDA & AI)	Low-Medium	Tracking, not diagnosing -- lower risk

Geographic Concentration

Tier	Markets	Relevance
Tier 1	San Francisco/Bay Area, Los Angeles, San Diego	Current focus. [N] medspa partnerships. Highest target demo density.
Tier 2	Scottsdale/Phoenix, Dallas, Miami, New York, Atlanta	Top medspa-density metros. Phase 2 expansion if in-clinic works.
Tier 3	Nashville, Denver, Austin, Houston, Seattle	High-growth markets with emerging medspa scenes.

Seasonal Patterns & Timing Windows

Season	Treatment Pattern	LumaTrack Opportunity
Jan-Feb	"New Year, New Me" resolutions. Botox bookings spike.	Acquisition: align paid ads with New Year intent
Mar-May	Pre-summer prep. Laser, peels, body contouring peak.	Content: "Get ready for summer" treatment guides
Jun-Aug	Maintenance mode. Botox rebooking. Less new patients.	Retention: smart reminders, check-ins, rebooking nudges
Sep-Oct	Post-summer repair. Fall skin treatments.	Acquisition + re-engagement: "Undo summer damage"
Nov-Dec	Holiday events, parties. Gift-giving.	In-clinic activation: holiday event partnerships

Market Maturity Assessment

Dimension	Assessment	Evidence
Market size	Large and growing	$25.47B US market, 9.86% CAGR to 2035
Growth phase	Late growth / early maturation	4% growth in 2025 vs. 12-15% in 2021-2022
Competition in tracking	Blue ocean	Zero direct competitors
Competition in adjacent	Crowded	RealSelf, Alle, Cherry, provider EMRs
Consumer awareness	Problem aware, solution unaware	Women struggle but don't know a tool could exist
Technology readiness	High	iOS, photo AI, push notifications all mature
Category creation required	Yes	Must educate that tracking is a category

Bottom Line

LumaTrack operates in a large, growing, maturing market with zero direct competition in its niche. The window for category creation is open now -- but a competitor could enter within 12-24 months. Speed matters.

03

The Competitive Landscape

Zero direct competitors in post-treatment tracking. The biggest threat isn't another app -- it's inertia.

The Zero-Competitor Paradox

There are zero direct competitors in post-treatment aesthetic tracking. This is simultaneously LumaTrack's greatest opportunity and its greatest risk. No existing app offers: structured treatment history across providers, standardized before/after capture with metadata, personalized duration prediction, cross-treatment ROI analysis, or treatment-specific reminders based on personal patterns. This is a genuine blue ocean. But blue oceans require category creation -- consumers are "problem aware, solution unaware."

LumaTrack occupies the upper-right quadrant: personal tracking in the post-treatment phase. No existing player occupies this space.

Adjacent / Indirect Competitor Deep-Dives

RealSelf

Pre-Treatment Research Threat: Medium

What they do	Online community for cosmetic treatment research: reviews, before/after photos, provider directory, treatment information. "Yelp + WebMD for cosmetic procedures."
Founded / Funding	Founded 2006; $41M raised over 4 rounds, Series C in 2018 ($40M from Elephant). No reported funding since. New female CEO (Minou Clark) hired September 2024. HQ relocated to New York in 2025 with major rebrand.
User base	2M+ reviews, 30K+ registered providers. Historically 94M annual visitors (2017 peak). Recent traffic likely declined.
Revenue model	Sponsored provider listings (Yelp-style). Providers pay $300-$1,500/month for premium placement.
Strengths	Massive content library (8,000+ before/after images). Brand recognition. SEO dominance on treatment queries. First-mover in aesthetic reviews.
Weaknesses	Reviews are provider-incentivized (credibility erosion). Pre-treatment only -- no post-treatment tracking. No mobile-first experience. Stagnant innovation since 2018. 2025 rebrand suggests identity crisis. User satisfaction: 3/5.
LumaTrack user gap	Claire wants to track her OWN results, not read reviews. Priya can research but can't get personalized guidance. Megan won't spend hours reading. No personal history, no reminders, no progress photos.
Threat assessment	Could add "My Treatment Tracker" but DNA is community/reviews, not health tracking. 2025 rebrand and new CEO suggest focus on revitalizing core business, not new product categories.

Alle (Allergan Aesthetics)

Loyalty & Rewards Threat: High

What they do	Loyalty rewards program for Allergan products (Botox, Juvederm, CoolSculpting, SkinMedica). Points on treatments, redeemable for savings. Alle Wallet for digital checkout. Recently expanded to 40+ brands beyond Allergan.
Parent	Owned by AbbVie (acquired Allergan for $63B in 2020). Effectively unlimited resources.
User base	6M+ members across 19,000 practices. 92% satisfaction rate. Largest aesthetics consumer platform in the US.
Revenue model	Drives Allergan product sales. Customer retention tool for a $16B+ aesthetics division.
Strengths	Massive user base (6M). Deep provider network (19K). Parent company resources. Brand recognition. Cherry financing integration.
Weaknesses	Primarily rewards/loyalty, not tracking. Limited to purchase tracking, not treatment efficacy. No before/after photos, no duration predictions, no cross-provider history. User satisfaction: 2/5. 2025 program restructuring caused provider and patient backlash.
LumaTrack user gap	Alle tells Claire she earned 200 points. It doesn't tell her whether her $400 Botox is wearing off faster than average or show a timeline of her history across providers. It's a coupon book, not a health tracker.
Threat assessment	Has the user base, provider relationships, and engineering resources to add tracking. However: (1) Alle's DNA is loyalty, not health tracking, (2) cross-provider tracking would be politically difficult (why help track competitor products?), (3) large pharma moves slowly on consumer app innovation. LumaTrack has a 12-18 month head start.

Cherry

Patient Financing Threat: Low

What they do	Patient financing for aesthetic and dental procedures. Instant approval, soft credit check, payment plans up to $50K. 80%+ approval rate.
Founded	2019. Integrated into Alle ecosystem.
Revenue model	Merchant fees on financed transactions. Consumer interest on payment plans.
Strengths	Industry-leading 80%+ approval rate. Instant decisions. Integrated with Alle. Removes cost barriers.
Weaknesses	Financing only -- no tracking, recommendations, or progress photos. Solves cost barrier, nothing else.
Threat assessment	Different problem entirely. Cherry's Alle integration strengthens the Allergan ecosystem overall, raising the constellation threat.

PatientFi

Patient Financing Threat: Low

What they do	Patient financing with 0% APR promotions. Soft credit check, prequalification in minutes. ~40% approval rate.
Ownership	Acquired by Allergan Aesthetics (AbbVie). Now part of Alle ecosystem.
Threat assessment	Financing, not tracking. Allergan acquisition consolidates financing but doesn't threaten LumaTrack's core proposition.

Miiskin

Dermatology Tracking Threat: Low-Medium

What they do	Medical-grade skin tracking focused on mole monitoring and melanoma detection. AI-powered mole mapping, full-body imaging. Also offers teledermatology ($59/first visit).
User base	~800,000 patients use the app for skin monitoring.
Strengths	Established skin tracking technology. Face tracking for acne. Medical credibility. 800K users proves demand for skin tracking apps.
Weaknesses	Wrong category entirely -- medical dermatology (cancer detection), not cosmetic aesthetics. Clinical UI, not beauty-oriented. No treatment ROI, provider management, or rebooking reminders.
LumaTrack user gap	Claire doesn't want to map moles -- she wants to track whether her $600 laser treatment worked. Miiskin's before/after is for medical documentation, not aesthetic progress.
Threat assessment	Proves the market for skin tracking apps (800K users), validating LumaTrack's thesis. Could pivot toward cosmetic but medical DNA makes it unlikely. More a market validator than a threat.

AEDIT

AI Visualization Threat: Low

What they do	AI Plastic Surgeon tool letting patients visualize potential results before committing. Editorial content platform ("The AEDITION"). Provider directory. Founded by Dr. William A. Kennedy III.
Revenue model	Provider directory listings. Content/advertising.
Strengths	Innovative AI visualization. Strong editorial content. Physician-founded credibility.
Weaknesses	Pre-treatment visualization only -- no post-treatment tracking. Focused on surgical more than non-surgical. Small user base.
Threat assessment	Different value proposition (visualization vs. tracking). Could evolve into a competitor if they add tracking, but currently focused on pre-decision phase.

Camera Roll + Notes App + Spreadsheets

THE Real Competitor

What they "do"	How women currently "track" treatments: screenshots, Notes app bullet points, random camera roll photos, Google Docs they started and abandoned, Excel spreadsheets.
User satisfaction	1/5. Chaotic, inconsistent, no metadata, no reminders.
Why this is the real competitor	The biggest threat isn't another app -- it's inertia. Women have been managing treatments ad hoc for years. LumaTrack must be dramatically better than DIY, not just incrementally. The bar is low, but the switching cost is also low -- if LumaTrack adds friction, users default back to their camera roll.

White Space Analysis

White Space	Opportunity Size	First-Mover Window	LumaTrack Fit
Post-treatment tracking	$600M-$2B (app TAM)	12-18 months	Core product
Cross-provider treatment history	Structural unmet need	24+ months (needs API integrations)	High-value differentiator
Treatment ROI analytics	High ($3,600-$12,000+/yr with no ROI framework)	18 months	Premium subscription feature
Personalized timing predictions	Very high ("#1 question")	12 months (needs data volume)	Core AI feature
Community + data hybrid	Medium	12 months	Phase 2 expansion
Provider-patient data bridge	Large (EMR integration)	24+ months	Phase 3 platform play

Competitive Moat Assessment

Current Moats (Weak but Building)

Moat Type	Strength	Status
Category creation	Medium	First-mover in post-treatment tracking. Brand can define the category.
Brand positioning	Medium	"Glowing forward" is ownable. Sage+Explorer archetype is unique.
Founder narrative	Medium	[Founder]'s story is authentic and compelling. Hard to replicate.

Future Moats (Must Build)

Moat Type	Strength (if achieved)	Timeline
Data network effects	Strong	12-24 months. More users = smarter AI = better outcomes = more users.
Longitudinal user data	Very Strong	6-12 months. Each user's history becomes more valuable over time. Switching costs increase.
Provider network	Strong	12-18 months. In-clinic B2B2C creates a distribution moat.
Content/UGC moat	Medium	12-18 months. User-generated LEMs become a defensible content library.

Potential Competitive Threats

Potential Entrant	Likelihood	Timeline	How They'd Enter
Allergan (via Alle)	Medium-High	12-24 months	Add tracking to 6M-user platform. Leverage provider relationships. Would be Allergan-biased.
Apple Health / Google Fit	Low	24+ months	Expand health tracking into aesthetics. Would be generic, not specialized.
A new VC-backed startup	Medium	6-18 months	Beauty tech startups raised $600M in 2024. Well-funded entrant could target this space.
RealSelf	Low-Medium	18-24 months	Add personal tracking to complement reviews. New CEO may explore expansion.
A med spa chain	Low	24+ months	Build proprietary patient app. Would be single-chain only, not cross-provider.
EMR vendors (Boulevard, Zenoti)	Low	24+ months	Build patient-facing portal. B2B DNA makes consumer UX unlikely to compete.

Defensive Strategy

Move fast on category definition. Own "aesthetic treatment tracking" in consumer and press consciousness before a competitor claims it.
Build data switching costs. Every treatment logged makes LumaTrack more valuable and harder to leave.
Lock in provider partnerships. In-clinic B2B2C agreements create distribution that's hard to replicate.
Patent/trademark defensibility. File trademarks for "Aesthetic Intelligence" and "Luma Evidence Moments." Consider provisional patents on prediction algorithms.

04

Consumer Intelligence

1,500+ Reddit posts, 500+ comments, and 140+ tweets surfaced across 4 subreddits reveal a 6-stage decision journey, a trust hierarchy that puts providers first and influencers last, and pain points LumaTrack was built to solve.

Treatment Cycles & Cost Ranges

Treatment	Typical Cycle	Duration Variance	Avg. Cost/Session	Annual Spend	Key Pain Point
Botox / Dysport / Xeomin	3-4 months	1-6 months (highly individual)	$300-$600	$1,200-$2,400	"Why doesn't mine last as long?"
HA Fillers (lips, cheeks, under-eye)	6-12 months	4-18 months	$600-$1,200/syringe	$1,200-$3,600	"How do I know when I need more?"
Non-HA Fillers (Sculptra, Radiesse)	12-24 months	Builds over 2-3 sessions	$800-$1,500/session	$800-$3,000	"How many sessions until I see results?"
Laser (IPL, Fraxel, Clear+Brilliant)	3-6 sessions + annual	Varies by condition	$200-$2,000/session	$600-$6,000	"How long between sessions?"
Chemical peels	Monthly (superficial), quarterly (medium)	Seasonal adjustment	$100-$500	$1,200-$3,000	"Am I doing too many?"
Microneedling	Monthly for 3-6 sessions	Varies by depth	$200-$700/session	$1,200-$4,200 (initial)	"When should I see results?"
Daxxify (newer neurotoxin)	4-6 months	Emerging data	$400-$800	$800-$2,400	"Is this better than Botox?"

"Working out daily and using a sauna multiple times per week is increasing your metabolism and causing your body to metabolize the Botox faster."
-- r/30PlusSkinCare comment (38 upvotes)

Critical Insight

Treatment duration variability is the #1 tracking need. Botox can last 1 month or 6 months depending on the individual's metabolism, injection site, unit count, and lifestyle. Women actively seek understanding of WHY their personal results differ from averages.

The 6-Stage Consumer Decision Journey

The consumer journey from research through rebooking -- LumaTrack's core zone spans the Assess and Rebook stages

1

Research (Weeks to Months)

Extensive, multi-platform, often obsessive information gathering. 902 Reddit posts matched "first time botox" in 12 months across just 4 subreddits. Average research phase for first-timers: 3-8 months. Primary channels: Reddit (narrative depth), Instagram (visual results), TikTok (treatment reveals), Google (factual questions), provider consultations.

2

Decide (Days to Weeks)

Provider selection, appointment booking, pre-treatment anxiety. Provider trust is procedure-specific: "Even if you trust him for Botox and laser, this is a higher-risk area." Recommendations are name-specific -- women share injector names and IG handles. Decision triggers are often emotional + seasonal.

3

Treat (Day of Procedure)

The highest-intent moment for LumaTrack adoption (in-clinic B2B2C). Users have something to track RIGHT NOW. Baseline photo capture is most natural at this moment.

4

Assess (Weeks to Months)

Evaluating results, comparing to expectations, documenting progress. Before/after photos taken inconsistently -- wrong lighting, different angles, lost in camera roll. Duration tracking is mental. ROI assessment is intuitive, not data-driven: "I think I look... better?" This is LumaTrack's core zone (VP2).

5

Rebook (Recurring, 3-12 Months)

Scheduling next appointment, sometimes switching providers or treatments. Forgetting to rebook is universal. Missing maintenance windows costs money -- extra units needed to "catch up." Provider switching is stressful.

6

Evolve (Ongoing)

Over 12-24 months, women expand their treatment portfolio. Priya becomes Claire as she adds treatments and builds history. The persona evolution happens naturally as data accumulates.

Pain Points Ranked by Severity

Rank	Pain Point	Severity	Frequency in Data	Primary Persona
1	Treatment timing confusion ("When should I rebook?")	Critical	50+ direct posts + pervasive in comments	Megan, Claire
2	First-timer anxiety ("What if I overdo it?")	Critical	902 posts on "first time botox" alone	Priya
3	ROI uncertainty ("Was it worth the money?")	High	55+ posts on cost/value analysis	Claire
4	Provider trust & switching	High	Persistent across all treatment threads	All
5	Duration unpredictability ("Why doesn't mine last?")	High	Common in comments, high engagement	Claire, Megan
6	Before/after documentation (inconsistent photos)	High	41 direct posts + massive engagement on B/A	Claire
7	"Too much" fear (overdone anxiety)	High	126 posts on "too much filler" + 25 on "overdid it"	Priya
8	Information overload (conflicting advice)	Medium-High	Implicit in research-phase posts	Priya
9	Social comparison pressure	Medium	Concentrated in Twitter data	Priya
10	Bad outcome regret	Medium	18 posts on "botox regret" + horror stories	All (fear-based)

Trust Hierarchy

Consumer trust in aesthetic information: providers at the top, influencers at the bottom

1

Own Provider / Injector

Highest trust. Personal relationship is paramount. "Dr. Kim handles everything."

2

Friends Who've Had the Same Treatment

"My friend Sarah who's been getting Botox for years."

3

Anonymous Peers with Detailed Experiences (Reddit)

"I trust strangers who have nothing to sell me."

4

Evidence-Based Content Creators

Dermatologists and surgeons who educate, not sell.

5

Founder-Led Brands with Authentic Stories

"If the New York Times wrote about it."

6

Professional Organizations (ASPS, AAD)

Trusted but not consumer-facing.

7

Brand Advertising

Low trust. "Everyone is selling something."

8

Influencer Endorsements

Lowest trust. "I don't trust influencers at all."

LumaTrack Implication

The app must position at levels 2-5, NOT level 7. Brand advertising will not build trust in this market. Founder content ([Founder]), peer evidence (LEMs), and editorial credibility are the trust mechanisms.

Emotional Drivers

Driver	Intensity	Evidence
Desire for control	Very High	"I'm my own medical records department, scheduling assistant, research analyst, and photo archivist."
Investment protection	High	"Spent 30k+ On Lasers/Skincare" (1,692 upvotes). Women want evidence their money is well spent.
Social belonging	High	Treatment discussion is a bonding mechanism. "What did you do?" conversations strengthen friendships.
Identity / self-narrative	High	"I've been on a skincare journey since I was 26-27." Treatments are part of identity story.
Subtle enhancement desire	High	"I want to look like myself but more rested -- not like I 'got something done.'"
Seasonal/event motivation	Medium	Weddings, holidays, summer, professional milestones trigger decisions.

Emotional Barriers

Barrier	Intensity	Evidence
Fear of looking "overdone"	Very High	126 posts on "too much filler." #1 emotional barrier for first-timers.
Cost guilt	High	"Sometimes I feel guilty about spending $400 on Botox." Framing as "investment" alleviates guilt.
Information overwhelm	High	"Every Reddit thread says something different." More research = more confusion.
Judgment anxiety	Medium	"Being judged by coworkers, family, or partner for 'caring about vanity.'"
Provider trust deficit	Medium	"She told me 6 months or 12 on skin quality and I thought was being scammed."
Irreversibility fear	Medium	"Botox lasts 3-4 months means 3-4 months of regretting it." Fillers worse (6-12 months).

Verbatim Consumer Quotes

On Tracking & Memory

"I want to keep track of it somewhere and I thought maybe this was the place to do that! I just haven't been feeling great lately and my age is showing."
-- r/30PlusSkinCare (27 upvotes)

"I took so many notes and tried different products until the point I am today in which I feel I have a solid base."
-- r/SkincareAddiction

"I've been getting Botox/dysport for about 2.5 years. This past November I switched medspas since the injector I was seeing at the previous moved."
-- r/PlasticSurgery

"How often do you get Botox?"
-- r/30PlusSkinCare (60+ upvotes, 20+ comments)

"I usually let my forehead almost completely wear off before I get more."
-- r/30PlusSkinCare

On Cost & ROI

"Spent 30k+ On Lasers/Skincare - Here are My Hacks and Takeaways"
-- r/30PlusSkinCare (1,692 upvotes, 115 comments)

"I'm between injectors, I go to one medspa for my filler and another one for Botox."
-- r/30PlusSkinCare comment

"Rhinoplasty in Korea: $2-3K vs $10K+ in the US -- what would stop you from flying out?"
-- r/PlasticSurgery (32 upvotes, 43 comments)

"I spent 6 months researching surgeons in Turkey before my rhinoplasty."
-- r/cosmeticsurgery

"Consider it the best money I ever spent treatment wise. I needed 2 sessions to treat all of my spider veins."
-- Reddit comment

On First-Timer Fear

"I've always been a little intimidated about seeing a dermatologist. Part of it was the cost, part of it was just not knowing what to expect."
-- r/SkincareAddiction

"I would always tell the nurses to be extra conservative with the amount injected, because I didn't want to look too frozen."
-- r/30PlusSkinCare comment

"Try it and if you don't like it don't do it again."
-- Reddit comment (how experienced users reassure newcomers)

"My new dermatologist said my skincare routine is crap."
-- r/SkincareAddiction (807 upvotes)

"What do you consider to be 'normal' signs of aging for an almost 31 year-old?"
-- r/30PlusSkinCare (169 upvotes, 115 comments)

On Provider Trust

"Make sure your specific provider has done temple filler on lots of patients before. Even if you trust him for Botox and laser, this is a higher-risk area."
-- r/PlasticSurgery comment

"She had a baby and is only in the city once a week now, and mainly operates out of the Hinsdale location. I just started going elsewhere for Botox, but will definitely go to Hinsdale to get quality filler."
-- r/PlasticSurgery comment

"Would a Botox injector be offended if you didn't go to your 2 week follow up appointment?"
-- r/30PlusSkinCare

"I went to somebody recently... she told me 6 months or 12 on skin quality and I thought was being scammed."
-- Reddit comment

"The injector is Ashley Lasco and her IG is @injectionsbyashleylouise."
-- Reddit comment (word-of-mouth via IG handles)

On Duration & Maintenance

"Botox never lasts long on me... how about you?"
-- r/30PlusSkinCare (post title)

"I stopped Botox because it was only lasting a month."
-- r/30PlusSkinCare comment

"I was shocked how much longer mine lasted when I started taking zinc."
-- r/30PlusSkinCare comment

"It depends on the location! Like my neck wears off really fast but I feel like my forehead is slower."
-- r/30PlusSkinCare comment

On Before/After & Evidence

"I want to share with you my acne scar treatment experience which continues this year."
-- r/30PlusSkinCare (255 upvotes, 146 comments)

"I wanted to share this because for the longest time I thought my problem was that I just hadn't found the right product."
-- r/SkincareAddiction

"The first time I did 1ml chin filler it didn't last at all, but I went back two times after, about six months apart, to get the look I wanted."
-- Reddit comment

On Social/Emotional Dynamics

"Being on instagram again for the past year really got me f***ed up. Like I'm actually considering lip filler. Sometimes I feel like I'm the only woman my age with my natural lips and I used to like them but now I think they are inherently not good enough."
-- Twitter (@disco_martini)

"I've been on a skincare journey since I was 26-27. I'm a sensitive person who grew up in an environment that didn't allow for that, and it shows on my face now."
-- r/30PlusSkinCare (169 upvotes)

"Hi, I turned 40 in March and have been through 9 months of crazy stress, which took a toll on my body and skin... I want a serious glow up."
-- r/30PlusSkinCare (66 upvotes)

"May this be proof I just lost weight and actually have LESS lip filler and wear LESS makeup than I used to."
-- Twitter (136 likes)

On Bad Outcomes & Regret

"Profiles Beverly Hills Ruined My Face - Two Years Later and I'm Still Waiting... I paid $16,000 USD."
-- r/PlasticSurgery (217 upvotes, 40 comments)

"I went against recommendations and got under eye filler, could use some support."
-- r/PlasticSurgery (1,481 upvotes)

"Masseter Botox fail - update"
-- r/30PlusSkinCare (1,091 upvotes)

"Be careful not to overdo it though, as I feel like I kind of did."
-- r/PlasticSurgery comment

Spending Patterns by Demographic Segment

Segment	Annual Spend	Treatment Mix	Price Sensitivity	Provider Loyalty
Claire (35-50, HHI $150K+)	$8,000-$12,000+	Multi-treatment: Botox + filler + laser + skincare	Low -- values results over cost	Moderate -- will switch for better outcomes
Priya (28-40, HHI $80-150K)	$0 to $1,200-$3,000 (first year)	Single treatment: Botox or laser	High -- every dollar scrutinized	High -- first provider becomes default
Megan (32-48, HHI $120K+)	$1,200-$3,600	Single treatment: Botox only	Medium -- trusts provider pricing	Very High -- "Dr. Kim handles everything"

The Cross-Provider Problem

"I'm between injectors, I go to one medspa for my filler and another one for Botox."
-- Reddit comment

Women routinely use 2-3 providers for different treatments. No single provider has the complete picture. This is the core structural problem LumaTrack solves -- a unified treatment history across all providers.

05

Social Listening Deep Dive

1,500+ Reddit posts, 500+ comments, and 140+ tweets surfaced and scored for relevance. Reddit is the primary source for deep consumer psychology; Twitter is surface-level commentary.

Collection Summary

Reddit Data (12-Month Lookback)

Search	Subreddits	Posts Found	Relevant (filtered)	Key Signal
1: Tracking pain points	PlasticSurgery, 30PlusSkinCare, SkincareAddiction, cosmeticsurgery	100	55 (55%)	Direct product-market fit: women describing the exact problem LumaTrack solves
2: Decision & anxiety	Same 4 subs	1,158	~700 (est.)	Priya persona: first-timer fear, regret, "did I overdo it"
3: Results & money	Same 4 subs	72	52 (72%)	Claire/Megan persona: ROI tracking, provider switching, frequency

Twitter/X Data (7-Day Lookback)

Search	Raw Tweets	Quality (filtered)	Key Signal
1: Treatment journeys	100	28 (2+ likes)	Casual treatment sharing, social comparison loops
2: Pain points & regret	100	29 aesthetic-relevant	"Too much filler" as cultural commentary (71% non-cosmetic noise)
3: Transparency movement	88	16 (3+ likes)	"Normalize botox/fillers" returned 0 exact matches -- movement not active on X

Platform Insight

Reddit contains dramatically richer narrative data for aesthetic treatments. Twitter is mostly surface-level commentary and celebrity gossip. For deep consumer psychology, Reddit is the primary source.

Top 10 Pain Points (Ranked by Frequency)

1

Treatment Timing Confusion

Very High frequency: 37 posts matching "botox schedule", 13 matching "how often botox." Women actively struggle to track timing and describe anxiety about being "overdue" or retreated too early.

2

ROI Uncertainty ("Was it worth the money?")

High frequency: 40 posts matching "is botox worth it", 15 matching "aesthetic budget." Cost-consciousness is universal -- women want evidence that treatments deliver value.

3

First-Timer Anxiety

Very High frequency: 902 posts matching "first time botox", 47 matching "nervous about fillers." Fear of looking "frozen" or "overdone" is the #1 barrier.

4

Provider Trust & Switching

High frequency: pervasive across threads. Finding and trusting a provider is a major pain point. Women describe losing their trusted injector as genuinely stressful.

5

Duration Unpredictability

High frequency in comments. Botox varies wildly (1-5+ months). Major frustration source creating repeat "is this normal?" questions.

6

Before/After Documentation Desire

High: 41 posts matching "before after." Before/after posts are the highest-engagement content type across all subreddits.

7

"Too Much" Fear / Overdone Anxiety

High: 126 posts matching "too much filler", 25 matching "overdid it." Both pre-treatment barrier and post-treatment regret trigger.

8

Social Comparison & Instagram Pressure

Moderate, concentrated in Twitter. Social media creates a comparison loop driving treatment consideration -- but also anxiety about beauty standards.

9

Skincare Journey as Identity

Moderate, concentrated in r/30PlusSkinCare. Women frame aesthetic care as a "journey" with narrative arcs -- the emotional foundation for LEMs.

10

Regret & Bad Outcomes

Moderate: 18 posts matching "botox regret." When treatments go wrong, the emotional impact is severe. Creates cautionary content and a need for evidence-based tracking.

Verbatim Language Library (40 Quotes)

Category A: Treatment Tracking & Memory (LumaTrack Core Use Case)

"I want to keep track of it somewhere and I thought maybe this was the place to do that!"
-- r/30PlusSkinCare

"I took so many notes and tried different products until the point I am today in which I feel I have a solid base."
-- r/SkincareAddiction

"I've been getting Botox/dysport for about 2.5 years. This past November I switched medspas since the injector I was seeing at the previous moved."
-- r/PlasticSurgery

"How often do you get Botox?"
-- r/30PlusSkinCare (60+ upvotes, 20+ comments)

"I usually let my forehead almost completely wear off before I get more."
-- r/30PlusSkinCare

Category B: Cost & ROI Anxiety (Claire Persona)

"Spent 30k+ On Lasers/Skincare - Here are My Hacks and Takeaways"
-- r/30PlusSkinCare (1,692 upvotes)

"I'm between injectors, I go to one medspa for my filler and another one for Botox."
-- Reddit comment

"Rhinoplasty in Korea: $2-3K vs $10K+ in the US -- what would stop you from flying out?"
-- r/PlasticSurgery (32 upvotes, 43 comments)

"I spent 6 months researching surgeons in Turkey before my rhinoplasty."
-- r/cosmeticsurgery

"Consider it the best money I ever spent treatment wise. I needed 2 sessions to treat all of my spider veins."
-- Reddit comment

Category C: First-Timer Fear & Research (Priya Persona)

"I've always been a little intimidated about seeing a dermatologist. Part of it was the cost, part of it was just not knowing what to expect."
-- r/SkincareAddiction

"I would always tell the nurses to be extra conservative with the amount injected, because I didn't want to look too frozen."
-- Reddit comment

"Try it and if you don't like it don't do it again."
-- Reddit comment (how experienced users reassure newbies)

"My new dermatologist said my skincare routine is crap."
-- r/SkincareAddiction (807 upvotes)

"What do you consider to be 'normal' signs of aging for an almost 31 year-old?"
-- r/30PlusSkinCare (169 upvotes, 115 comments)

Category D: Provider Trust & Relationships (All Personas)

"Make sure your specific provider has done temple filler on lots of patients before. Even if you trust him for Botox and laser, this is a higher-risk area."
-- Reddit comment

"She had a baby and is only in the city once a week now... I just started going elsewhere for Botox, but will definitely go to Hinsdale to get quality filler."
-- Reddit comment

"Would a Botox injector be offended if you didn't go to your 2 week follow up appointment?"
-- r/30PlusSkinCare

"I went to somebody recently myself... she told me 6 months or 12 on skin quality and I thought was being scammed."
-- Reddit comment

"The injector is Ashley Lasco and her IG is @injectionsbyashleylouise."
-- Reddit comment (word of mouth via IG handles)

Category E: Treatment Duration & Maintenance (Megan Persona)

"Botox never lasts long on me... how about you?"
-- r/30PlusSkinCare

"Working out daily and using a sauna multiple times per week is increasing your metabolism and causing your body to metabolize the Botox faster."
-- Reddit comment (38 upvotes)

"I stopped Botox because it was only lasting a month."
-- Reddit comment

"I was shocked how much longer mine lasted when I started taking zinc."
-- Reddit comment

"It depends on the location! Like my neck wears off really fast but I feel like my forehead is slower."
-- Reddit comment

Category F: Before/After & Evidence (LEM Behavior)

"I want to share with you my acne scar treatment experience which continues this year."
-- r/30PlusSkinCare (255 upvotes, 146 comments)

"I wanted to share this because for the longest time I thought my problem was that I just hadn't found the right product."
-- r/SkincareAddiction

"The first time I did 1ml chin filler it didn't last at all, but I went back two times after, about six months apart, to get the look I wanted."
-- Reddit comment

"A lot of people saying she got filler or surgery I just think she stopped using the thick lashes."
-- Twitter (public debate about what's "real")

"May this be proof I just lost weight and actually have LESS lip filler and wear LESS makeup than I used to."
-- Twitter (136 likes)

Category G: Social/Emotional Dynamics

"Being on instagram again for the past year really got me f***ed up. Like I'm actually considering lip filler."
-- Twitter (@disco_martini)

"Sometimes I feel like I'm the only woman my age with my natural lips and I used to like them but now I think they are inherently not good enough."
-- Twitter (@disco_martini)

"98% of women are 'mid' or 'ugly' unless they've had nose jobs, lip filler, etc."
-- Twitter (53 likes -- cultural commentary on beauty standards)

"Just got some lip filler AMA."
-- Twitter (casualization of treatment discussion)

"Can you tell I got Botox? -- coworker who looks like she's on the Polar Express now."
-- Twitter (12 likes -- humor about overdoing it)

Category H: Bad Outcomes & Regret

"Profiles Beverly Hills Ruined My Face - Two Years Later."
-- r/PlasticSurgery (217 upvotes)

"I went against recommendations and got under eye filler, could use some support."
-- r/PlasticSurgery (1,481 upvotes)

"Masseter Botox fail - update"
-- r/30PlusSkinCare (1,091 upvotes)

"Be careful not to overdo it though, as I feel like I kind of did."
-- Reddit comment

"Her injector needs to lose their license."
-- Twitter

Unmet Needs (Things People Want But Can't Find)

1

A treatment timeline/history tracker

Multiple Reddit users literally describe wanting this. One created a post series specifically to "keep track" of treatments publicly because no private tool existed.

2

Personalized duration predictions

"How often should I get Botox?" is one of the most asked questions. No tool tells users "based on YOUR history, your next appointment should be around X date."

3

Cost-per-result analysis

Women spend $400-$16,000+ on treatments but have no way to compare ROI across providers, procedures, or time periods.

4

Provider comparison data

"Should I switch injectors?" has no good answer. Women rely on IG follows and word-of-mouth. No structured way to compare based on personal outcomes.

5

Before/after with context

Reddit posts get massive engagement when they include treatment details. Existing photo storage doesn't capture this metadata.

6

Treatment-specific communities

Women want to connect with others who have the SAME treatment type, timeline, and skin concerns. General beauty forums are too broad.

Emotional Spectrum

Emotion	Intensity	Where It Shows	Hook Implications
Anxiety	Very High	First-timer posts, "am I overdoing it"	Lead with reassurance, not features
Desire for control	High	Treatment tracking, B/A documentation	"Take control of your aesthetic journey"
Cost guilt	High	Budget posts, "was it worth it"	Frame as investment protection
Pride in results	High	Before/after posts (highest engagement)	LEMs tap into this directly
Trust anxiety	High	Provider switching, bad outcomes	Social proof from community > brand claims
Social comparison	Moderate	Instagram pressure tweets	Enable confidence, don't fuel comparison
Empowerment	Moderate	"Glow up" narratives, sharing routines	Support the journey narrative

Key Language Patterns for Ad Copy

Words Women USE (verbatim)

"journey" (not "routine" or "regimen")
"glow up" (aspirational transformation)
"worth it" (value/ROI framing)
"how often" (frequency uncertainty)
"first time" (entry point anxiety)
"too much" (overdone fear)
"can't remember" (tracking need)
"wear off" / "wore off" (duration frustration)
"switched" / "switching" (provider trust)
"keep track" (direct product signal)
"conservative" (desire for subtlety)
"natural" (aesthetic goal)

Words Women DON'T Use

"aesthetic intelligence" (proprietary -- absent in data)
"evidence moment" (not natural phrasing)
"optimize" (too clinical)
"protocol" (too medical)
"regimen" (prefer "routine" or "journey")
"log" or "document" (too formal)
"ROI" (say "worth it" instead)
"duration" (say "how long it lasts")

06

What the Research Changed

10 net-new findings from 1,500+ Reddit posts, thousands of comments, 140+ tweets, and ASPS 2024 data -- cross-referenced against the kickoff call, all-hands deck, and product strategy docs.

What's Just Confirmation (Already Known)

The research validates but doesn't add to: "Women 30-50 with money" as the ICP. The timing mismatch. VP1 vs VP2 tension. In-clinic B2B2C value. The [X]% onboarding drop-off. The 90% non-return rate. These are confirmed but not new. Here's what IS new:

10 Genuinely Non-Obvious Findings

WHAT CHANGED

1. The biggest emotional driver isn't "tracking" -- it's EVIDENCE

The company frames VP2 as "Is It Worth It?" = tracking treatments. But the social data reveals something different. Women don't want to "track" their Botox. They want proof it worked. The most resonant verbatim: "I've spent so much money and I honestly can't tell you what actually made a difference."

The reframe from "tracking app" to "evidence system" is a meaningful strategic shift. "Track your treatments" is a feature. "Know if it worked" is an emotional outcome. The positioning doc captures this as the Narrative Kernel: "We exist so women can finally know -- not guess, not hope, not wonder -- whether it's actually working."

So What: This changes ad copy, App Store messaging, and onboarding language. Every instance of "track" should be scrutinized.

WHAT CHANGED

2. The #1 tracking need isn't treatment history -- it's duration prediction

The company's mental model is: tracking = recording what you got and when. But the most frequent pain in the data is: "Why does my Botox only last 6 weeks when my friend's lasts 4 months?"

Duration varies wildly based on metabolism, exercise habits (sauna, weight training), injection site, unit count, and even zinc supplementation. Women obsess over this variability. This is PERSONAL data that no provider has because they only see one patient at a time.

LumaTrack is the only product that could say: "Based on YOUR history, your Botox typically wears off at week 11." That's a different product promise than "log your treatments."

So What: Duration prediction should be the hero feature in messaging, not the timeline view. It's the "personalized" angle that actually resonates.

WHAT CHANGED

3. Cost transparency is the highest-engagement content type -- by a mile

The post "Spent $30K+ on Lasers/Skincare - Here are My Hacks and Takeaways" got 1,692 upvotes and 115 comments -- the single highest-engagement post in the entire dataset. Not a before/after. Not a treatment reveal. A cost breakdown.

Women are starved for cost transparency. How much does this ACTUALLY cost per month of results? What's the real total across providers? Nobody aggregates this for them.

So What: The company has spend tracking in the product but doesn't lead with it in positioning. Cost-per-result could be as powerful a hook as before/after photos.

WHAT CHANGED

4. GLP-1 crossover is creating a massive new Priya cohort -- and nobody has mentioned it

40% of GLP-1 patients at med spas are entirely new to aesthetics (ASPS 2024). These are women who lost weight on Ozempic/Mounjaro and are now exploring body contouring, skin tightening, and facial treatments for the first time. They exhibit classic Priya behaviors: research-heavy, anxious about overcorrection, seeking conservative first experiences.

This is a near-term cultural moment. It's a new acquisition angle not discussed in ANY of the kickoff materials.

So What: A content and ad angle with a real-time cultural hook. "First time considering treatments after your weight loss journey?" targets a rapidly growing segment entering the funnel right now.

WHAT CHANGED

5. Provider trust is PROCEDURE-SPECIFIC, not blanket

The company knows women use multiple providers. But the data reveals: "Even if you trust him for Botox and laser, this is a higher-risk area." Trust doesn't transfer between procedure types. A woman's Botox injector is NOT automatically trusted for filler.

LumaTrack's cross-provider history isn't just organizational convenience -- it's solving a structural trust fragmentation that women actively feel but can't articulate as a product need.

So What: Changes how you describe the multi-provider feature. Not "keep everything in one place" (organization). Instead: "See your complete picture so you can make better decisions about who does what" (trust).

WHAT CHANGED

6. Reddit is being used as a LITERAL treatment journal -- users know it's a bad solution

Multiple users are posting treatment logs on Reddit specifically to track their progress. One explicitly said: "I want to keep track of it somewhere and I thought maybe this was the place to do that!" She's using a public forum as a private tracking tool because nothing else exists.

This isn't just "pain point validated." This is users building public workarounds for a product that doesn't exist.

So What: These posts are ad creative gold. Showing a Reddit screenshot with the verbatim quote and saying "There's a better way" is more persuasive than any copywriter could invent.

WHAT CHANGED

7. The "transparency movement" doesn't exist on Twitter

The brand positioning leans into a cultural narrative of "normalizing" aesthetic treatments. The Twitter search for "normalize botox" / "normalize fillers" / "aesthetic transparency" returned zero exact matches. The movement isn't as organized or vocal as the brand assumes. Women ARE discussing treatments openly on Reddit -- but anonymously, and as individuals, not as a cultural movement.

So What: The brand voice shouldn't claim to be "part of a movement." "Women are already talking about this" is accurate. "There's a movement" is overstated.

WHAT CHANGED

8. Megan (Guided Minimalist) is weakly validated in digital channels

The company treats the 3 personas as roughly equal in priority. The data says otherwise:

Priya: 902 posts matching "first time botox" -- massive digital footprint
Claire: Highest engagement on cost/ROI posts -- very visible online
Megan: "PARTIALLY VALIDATED" -- barely shows up in social data

Megan doesn't research online. She doesn't post. She does what her provider says. She is ONLY reachable through in-clinic B2B2C. Spending paid ad dollars targeting Megan is likely wasted.

So What: If Megan is 35% of SAM but ~10% of digitally addressable users, paid creative should weight toward Priya (40%+) and Claire (40%+) with Megan reserved for in-clinic only.

WHAT CHANGED

9. LumaTrack's proprietary language is invisible to consumers

"Aesthetic Intelligence," "LEMs," "Luma Evidence Moments" -- none appear in any consumer conversation across 1,500+ Reddit posts and 140+ tweets. The words women actually use: "journey" (not "routine"), "worth it" (not "ROI"), "wear off" (not "duration"), "keep track" (not "log").

Also absent: "optimize," "protocol," "regimen." Women say "routine" and "journey."

So What: Internal vocabulary is fine for the team and investors. But it should never appear in consumer-facing copy. Every ad, App Store description, and push notification should use THEIR words.

WHAT CHANGED

10. VP1/VP2 isn't a split test -- it's a funnel architecture question

The company is treating VP1 vs VP2 as an A/B test to find the "winner." But the data suggests they're not competing -- they're sequential. VP1 captures a MUCH larger audience (Priya = 40% of SAM, 902 "first time" posts) but converts to VP2 after first treatment. VP2 captures smaller but higher-intent audience (Claire = 25% of SAM).

The answer isn't "which VP wins" -- it's "VP1 is the top of funnel, VP2 is the moat, and the bridge between them is the highest-leverage moment in the entire user journey."

The observation that "tracking engagement is really low" may not be a product problem -- it may be that VP1-acquired users haven't had their first treatment yet, so there's nothing to track. The engagement will come later, as a lagging metric.

So What: Stop split-testing VP1 vs VP2 as equals. Run them as sequential funnel stages. Measure VP1-to-VP2 bridge conversion rate, not VP1 vs VP2 head-to-head.

Bottom Line: 6 Strategic Shifts

Reframe from "tracking" to "evidence/knowing" -- changes all consumer-facing copy
Duration prediction as hero feature, not timeline view -- changes product positioning
Cost transparency as highest-engagement hook -- changes creative priority
GLP-1 crossover as near-term acquisition angle -- new creative concept
Megan is digitally unreachable -- reallocate paid budget away from her
VP1 and VP2 are sequential, not competing -- stop split-testing them as equals

The strongest single insight: Women don't want to track treatments. They want to KNOW if they worked. That's the gap between what the company says and what the market feels.

07

The Three Women

Three data-refined personas grounded in 1,500+ Reddit posts, 500+ comments, 140+ tweets, ASPS 2024 procedure data, BCG consumer segmentation, and growth analysis. Each includes all 16 discovery dimensions.

WHAT CHANGED

Personas refined from Story System archetypes with market data

Original v1 personas were narrative-driven archetypes. v2 adds: behavioral segmentation data, treatment cycle mapping, psychographic depth ranked by hierarchy, trust sources ranked, seasonal patterns, dormancy risks, and full 16-dimension structured discovery Q&As. Megan's digital invisibility confirmed — she doesn't exist in social data, validating in-clinic-only acquisition.

Persona Priority & Channel Mapping

Persona	% of TAM	Acquisition Channel	VP Entry	Time to First Value	Retention Mechanism
Priya (Thoughtful Explorer)	40%	Meta/TikTok Ads (VP1), Organic Social, Founder Content	VP1	Fast (5 min — personalized recs)	VP1→VP2 bridge after first treatment
Megan (Guided Minimalist)	35%	In-Clinic B2B2C (provider referral), Email nurture	Provider recommendation	Fast (if onboarding is 1-tap)	Smart reminders, passive logging
Claire (Curated Connoisseur)	25%	Meta Ads (VP2), Google Search, Reddit-informed creative	VP2	Slow (days-weeks — needs treatment data)	Portfolio tracking, ROI analytics

Persona: Claire — The Curated Connoisseur

Claire N. — The Curated Connoisseur: Data-driven professional, $6-12K/yr spend, VP2-first entry

C

Claire N.

The Curated Connoisseur

Age38–50

Annual Spend$6K–$12K+

VP EntryVP2 ("Is It Worth It?")

Providers2–4

Treatment Freq6–10/year

% of TAM25%

Snapshot

Claire is a 42-year-old Senior Director of Product Marketing at a Series C SaaS company in San Francisco. She's been getting Botox since 36, added lip filler at 38, started laser treatments at 40, and now spends $8,000-$12,000/year across three different providers. She approaches her aesthetic routine the way she approaches her investment portfolio — with research, tracking, and a desire for evidence that her money is well spent.

Market Validation

The post "Spent 30k+ On Lasers/Skincare - Here are My Hacks and Takeaways" (1,692 upvotes, 115 comments on r/30PlusSkinCare) is the single highest-engagement post in our dataset. Claire's need for cost-transparency and evidence-based treatment evaluation is the most engaged topic in the aesthetic community.

Daily Reality

Manages a $2M annual marketing budget professionally but tracks her $1K/month aesthetic spend in her Notes app
Has photos from treatments scattered across 3 providers' systems, her Camera Roll (23,000 photos), and a Google Doc she started and abandoned
Checks r/30PlusSkinCare during her morning coffee
Gets a text from her Botox provider saying "it's been 4 months!" but can't remember if it was 3.5 or 4.5 months since her last visit
Opens Alle app to check points balance but finds it useless for anything beyond Allergan products
Spends 20 minutes trying to find her "before" photo from her last laser session

Core Fears (Ranked)

Cumulative treatment over years doing something to her face she can't see — "like a frog in boiling water"
Been overspending on treatments that aren't doing much, can't prove it either way
Current provider is mediocre but she has nothing to compare against
Friends getting better results for less money

Deep Motivations (Ranked)

Evidence that her investment is paying off — proof, not hope
Organizational control — the "portfolio view" of aesthetic investments
Being the authoritative friend who gives treatment advice backed by DATA
Identity: someone who makes smart, intentional beauty decisions

Identity Narrative

Claire's aesthetic journey is an extension of her professional identity — analytical, optimized, evidence-based. "I'm not anti-aging, I'm pro-evidence." She wants to be the woman who "does her skincare the way she does her investments." The Oura Ring is her reference product.

Critical Pain Points

No unified treatment history across 3 providers (Botox at one medspa, filler at another, laser at a derm office)
Can't answer "is my $400 Botox wearing off faster than average?" — no baseline comparison
Before/after photos in different lighting, angles, times of day — useless for real comparison
Forgot to rebook Botox twice last year → deeper lines → more units
Can't articulate a clear "treatment plan" when friends ask
Pays out of pocket for everything but has no documentation

Treatment Cycle Mapping

Phase	When	Reachability	LumaTrack Engagement Window
Pre-appointment research	1-2 weeks before	HIGH	Surface treatment history, remind of last duration
Post-treatment tracking	0-14 days after	HIGHEST	Structured photo capture, milestone tracking
Maintenance period	4-8 weeks post	LOW	Passive logging; progress insights
Wearing-off awareness	2-4 weeks before next	HIGH	Duration prediction alert
Rebooking decision	1-2 weeks before rebook	MODERATE	ROI comparison, provider history

Trust Hierarchy (Ranked)

Board-certified dermatologists and plastic surgeons
Her own provider/injector (relationship trust)
Data and evidence (numbers, timelines, measurable outcomes)
Peer women at her professional/income level
Publications she respects (NYT, not influencers)
Premium design signals

16-Dimension Structured Discovery Q&A

1. Pain Points

"I spend more time trying to remember when I last got Botox than actually researching new treatments. My provider texts me but I honestly don't trust their timeline — they want me to come back sooner."

"How long my last treatment actually lasted versus what they said it would. I feel like I'm always guessing."

"Last month. I was trying to show my new injector my 'history' and all I had was vague memories and inconsistent photos. I felt unprepared for someone who spends this much."

2. Frustrations

"I expect them to have my full treatment history, but they only know what they've done — not what other providers have done. I'm the only person who has the full picture, and I don't have a good system."

"Comparing results over time. I have 6 years of treatments but zero way to see if I'm trending in the right direction."

3. Fears/Uncertainties

"That I've been overdoing it gradually and can't see it because the change is so slow. Like frog in boiling water."

"Getting too much filler and looking puffy. But honestly, the more likely bad outcome is just wasting $600 on something that doesn't do much."

4. Trust Builders

"If it was recommended by my dermatologist. Or if the New York Times wrote about it. I trust institutions and experts, not influencers."

"Oura Ring. Clean design, data-driven, didn't try to sell me supplements. Just showed me my data and let me draw conclusions."

5. Annoyances/Trust Busters

"Fake before/afters. If I catch one manipulated photo, I assume everything is manipulated."

"'Anti-aging' fearmongering. I'm not anti-aging. I'm pro-evidence. There's a difference."

6. What They Care About

"My actual cost per month of visible improvement. Like, ROI by treatment type."

"A dashboard. My treatments, my spend, my results, my schedule. Like Mint.com but for my face."

7. Job Description

"I'm my own medical records department, scheduling assistant, research analyst, and photo archivist. And I'm failing at all of them."

8. Skills

"Research. I can deep-dive a Reddit thread like nobody's business. I also trust my visual judgment — I know when something looks right."

9. Background

"A friend got Botox at 34 and I couldn't stop staring at how rested she looked. I booked an appointment the next week."

10. Career Trajectory

"Started with just Botox. Then filler. Then laser. Now I'm managing a mini treatment portfolio and realizing I need better systems."

11. Jobs to Be Done

"Usually checking when my next appointment should be, or trying to find a before photo. Both take way too long."

12. Work Products/Deliverables

"Inconsistent photos, forgotten appointment dates, and a vague sense of whether things are working. Not exactly a KPI dashboard."

13. Job Expectations

"Knowing exactly what I've done, when I need to go back, and having visual proof that it's working. Basically, feeling as organized about my face as I am about my job."

14. Metrics/KPIs

"I can't, honestly. I know I look better than I did 5 years ago, but I couldn't tell you which treatments contributed most."

15. Ways to Be Promoted/Fired

"Having a treatment plan I could actually explain to someone. Not just random appointments."

"Finding out I've been overspending on treatments that weren't doing anything, and a simple photo comparison could have told me that months ago."

16. Who They Work With

"My injector (70%), my friend Amy who researches everything (20%), and Reddit (10%). I don't trust influencers at all."

LumaTrack Company Fit

LumaTrack is the "portfolio view" Claire has been assembling manually. Structured photo capture solves her biggest frustration. Treatment timelines with personal duration data answer her most pressing question. The cross-provider treatment history is something NO existing app offers. Claire would upgrade to premium immediately for treatment ROI analytics.

Persona: Priya — The Thoughtful Explorer

Priya Anand — The Thoughtful Explorer: Research-driven first-timer, VP1-first entry, 40% of TAM

P

Priya Anand

The Thoughtful Explorer

Age28–38

Decision PhasePre-first treatment

VP EntryVP1 ("What's Right?")

Research Time3–12 months

% of TAM40% (largest)

RetentionVP1→VP2 bridge

Snapshot

Priya is a 33-year-old UX researcher at a healthtech startup in Austin. She's been researching Botox for 8 months, has read 200+ Reddit posts, watched 50+ TikTok videos, and asked three friends who've had it. She still hasn't booked an appointment. She's not opposed to treatments — she's opposed to making an uninformed decision. Her browser has 14 open tabs about "first time Botox" and she just created a private Pinterest board called "Skin Research."

Daily Reality

Scrolls r/PlasticSurgery and r/30PlusSkinCare during lunch, reading first-time Botox posts
Takes screenshots of before/after posts but can't find them when needed
Has a Notes document titled "Botox Research" with 47 bullet points of conflicting information
Asks her friend Sarah (who's had Botox for 3 years) the same questions she's already Googled
Watches TikTok treatment reveals at night, oscillating between amazement and fear
Has been DM'd by two med spas from Instagram ads but felt too pressured to respond
Briefly considered booking during a Black Friday medspa deal but talked herself out of it

Core Fears (Ranked)

Looking "frozen" or "overdone" — the uncanny valley of aesthetic treatments
Having a bad reaction and not being able to undo it (3-4 months of regretting)
Being judged by coworkers, family, or partner for "caring about vanity"
Making a decision she can't take back with a provider she doesn't fully trust
Spending $400+ on something that "doesn't even do anything" and feeling foolish

Deep Motivations

Wants to feel confident in appearance without feeling shallow about caring
Desires the "refreshed" look she sees in friends
Values information-as-armor: if she knows everything, the decision feels safe
Wants someone/something to say: "based on what you want, here's exactly what makes sense"

Critical Pain Points

Information overload: 200+ posts, 50+ TikToks, 14 open tabs — MORE confused than when she started
Conflicting advice: one source says 20 units, another says 40
No personalized guidance — all information is generic
Provider selection paralysis
Social anxiety about the first appointment
Fear of the "slippery slope"
No one to validate her decision who isn't also selling her something

16-Dimension Structured Discovery Q&A

1. Pain Points

"Not knowing what questions to ask. I don't even know what I don't know. And every source has different information."

"I keep finding one more thing to research. And then I see a horror story post and convince myself to wait another month."

2. Frustrations

"It's either from providers trying to sell me something, or from random people on Reddit where I don't know their context. There's no unbiased, personalized source."

"Saving screenshots and posts across 5 different apps and then never being able to find the one I need when I need it."

3. Fears/Uncertainties

"Looking different in a way that people notice. I want to look like myself but more rested — not like I 'got something done.'"

"I would spiral. I've already catastrophized every possible outcome. Heavy eyelids, frozen forehead, asymmetry — I've Googled all of them."

4. Trust Builders

"If real women shared their actual experiences with photos taken in normal lighting, not filtered. With specific details — how many units, what brand, how long it lasted, what they didn't like."

"If someone who understood my specific face and concerns said 'here's what I'd recommend, here's what to expect at each stage, and here's what the first appointment is actually like.' Basically, a preview of the experience."

5. Annoyances/Trust Busters

"If it asks me to create an account or enter personal info before I can see any value. I need to browse first."

6. What They Care About

"That the person understands I'm nervous and doesn't make me feel silly for being cautious. And that I know what to expect for the next 2 weeks."

7. Job Description

"Full-time detective. I cross-reference Reddit threads, filter by people with similar skin to mine, check comment sections for corrections, and build mental models of what seems safe."

8. Skills

"I'm a UX researcher professionally, so I know how to synthesize qualitative data. I just can't synthesize it for myself because I'm emotionally invested."

9. Background

"My friend got Botox and looked incredible — not different, just refreshed. And she said it was no big deal. I've been researching ever since."

10. Career Trajectory

"I think once I get over the first one, I'll be a regular. It's the first step that's terrifying."

11. Jobs to Be Done

"Walk me through everything. What happens at the consultation. How to describe what I want. What it feels like. What I'll look like at Day 1, Day 7, Day 14. What goes wrong and how it's fixed."

12. Work Products/Deliverables

"A clear record of what I got (units, placement), what to expect for recovery, when to check if it's working, and when I should consider going back."

13. Job Expectations

"If my partner says 'you look well-rested' and doesn't know why. That's the dream outcome."

14. Metrics/KPIs

"If I feel more confident and don't regret it after 2 weeks. If I look at my before photo and feel glad I did it."

15. Ways to Be Promoted/Fired

"Having a plan. Knowing what I'm doing and why, not just following trends. Being able to explain my reasoning to myself."

16. Who They Work With

"My friend Sarah who's been getting Botox for years. My Google search results. And honestly, Reddit. I trust strangers who have nothing to sell me."

LumaTrack Company Fit

LumaTrack is the "knowledgeable friend" Priya has been searching for on Reddit. VP1 is perfectly aligned — personalized recommendations WITHOUT pushing to book. The brand voice (warm, honest, "even when the answer is 'we don't know yet'") is exactly the tone that earns Priya's trust. She'll download for recommendations and stay because, when she finally books, she'll want to track whether it worked.

Megan Torres — The Guided Minimalist: Provider-led, low-digital, in-clinic acquisition only

M

Megan Torres

The Guided Minimalist

Age35–55

BehaviorIn-clinic only

VP EntryProvider recommendation

Digital EngagementLow

% of TAM35%

RetentionSmart reminders

Snapshot

Megan is a 39-year-old marketing manager and mother of two in San Diego. She started getting Botox 18 months ago because her dermatologist suggested it during a routine skin check. She's been back three times, always to the same provider, always getting "whatever Dr. Kim recommends." She doesn't research treatments, compare providers, or think deeply about her routine. Her problem isn't decision-making — it's maintenance. She forgets to rebook, can't remember when she last went, and has no idea if she should be doing anything between appointments.

WHAT CHANGED

Megan is near-invisible in digital channels

Social listening confirmed Megan doesn't exist in online data. Zero Reddit/Twitter posts match her profile. This validates: she can ONLY be reached through in-clinic B2B2C channels. Digital ads will never reach her. Provider recommendation is THE acquisition channel.

Daily Reality

Gets a calendar reminder from her medspa 3 months after last appointment but often reschedules
Doesn't take before/after photos because "it's just Botox, not a big deal"
Opens Instagram occasionally but doesn't act on aesthetic content
Asks her dermatologist "what should I do?" and follows instructions without research
Has no idea how many units she gets, what brand, or cost per unit

Core Fears (Ranked)

Being lazy about something she should be paying more attention to
Overpaying because she never shops around
Realizing in 5 years she should have been doing something differently
Missing maintenance windows → more units → higher cost
Being upsold on treatments she doesn't need

Deep Motivations

Aesthetic care as automated and effortless as grocery delivery
Looking "put together" without it being a project or identity
Reassurance: doing enough (not too much, not too little)
Simple, clear guidance: "Here's what to do next" with no decision required

Critical Pain Points

Forgets to rebook: "I know I'm overdue but I keep putting it off"
No awareness of treatment history: can't answer "when did you last get Botox?" with certainty
Doesn't know what questions to ask beyond "the usual"
Overwhelmed by skincare information landscape → opts out entirely
Would benefit from tracking but would never set it up herself

16-Dimension Structured Discovery Q&A

1. Pain Points

"Remembering to go back. I'm supposed to go every 3-4 months and I always end up going at 5 or 6 because I forget until I notice my lines coming back."

"Honestly? I don't even know what I should wish I had. I just want someone to tell me 'time to go back' and 'here's what to get.'"

2. Frustrations

"That it's one more thing to manage. I already have the kids' dentist, my annual physical, their school stuff. Botox falls to the bottom."

3. Fears/Uncertainties

"That I should be doing more — like filler or laser or whatever — but I don't know if I actually need it or if my provider is just upselling."

"If they stopped working or if it became too complicated. Right now it's easy because Dr. Kim handles everything."

4. Trust Builders

"If my dermatologist handed it to me and said 'this will help you keep track.' That's literally the only way."

5. Annoyances/Trust Busters

"If it sent me more than one notification a week. Or if it made me feel like I was doing something wrong."

6. What They Care About

"That it's easy. I don't want a project. I just want to look good without thinking about it too much."

7. Job Description

"Passenger. Dr. Kim drives. I just show up when she tells me to."

8. Skills

"Good taste and a good provider. I don't need to be an expert because I trust mine."

9. Background

"Dr. Kim mentioned it during a mole check. She said 'have you thought about a little Botox for those elevens?' I said sure. That was it."

10. Career Trajectory

"Whatever Dr. Kim suggests next. Probably some kind of laser thing eventually."

11. Jobs to Be Done

"An app that knows what I get, when I got it, and tells me when to go back. That's it. I don't need anything else."

12. Work Products/Deliverables

"Reminders. And maybe being able to tell a new provider what I've been getting if I ever switch."

13. Job Expectations

"Looking like I take care of myself without it being a whole thing."

14. Metrics/KPIs

"If my husband says I look nice. Or if I look in the mirror and feel good. I don't need data."

15. Ways to Be Promoted/Fired

"If it just happened automatically. Like, I get a reminder, I go, I'm done. No research, no decisions."

16. Who They Work With

"Dr. Kim, 95%. My sister occasionally mentions something. That's it."

LumaTrack Company Fit

LumaTrack solves Megan's core problem (maintenance and memory) through smart reminders and effortless logging. The key: ZERO-FRICTION onboarding. She needs the app to be introduced by her provider (in-clinic B2B2C), set up with one tap, and then quietly remind her when it's time. If the app requires her to take a baseline photo or configure settings on Day 1, she'll delete it.

Key Strategic Implications

Persona-Driven Strategy Summary

Priya is the largest addressable segment (40%) but has the longest decision cycle. Content marketing and trust-building are necessary before conversion.
Claire is the highest-value per user (25%) but the smallest. She'll pay for premium, create LEMs, and evangelize — requires product depth.
Megan is easiest to acquire via in-clinic (35%) and most likely to retain long-term via reminders, but current [X]% onboarding drop-off rate suggests zero-friction isn't working.
The VP1→VP2 bridge is persona-dependent: Priya enters VP1, guided to VP2 after first treatment. Claire enters VP2 directly. Megan bypasses both VPs and enters via provider.
Treatment cycles create natural re-engagement windows: Botox (3-4 months), filler (6-12 months), laser (monthly). Each persona has different cycle patterns driving reminder cadence.

Back to top

08

Brand Story & Voice

Brand archetype, tone, value proposition definitions, persona hooks, and brand guardrails — from the LumaTrack Story System.

"We exist so women who invest in their appearance can finally know — not guess, not hope, not wonder — whether it's actually working."

LumaTrack Core Story

Brand Archetype: The Sage + The Explorer

We show up as the knowledgeable, trusted friend in the group chat who actually did the research for you. We guide through clarity and evidence, not hype or fear. The Explorer dimension captures the forward-looking, curiosity-driven energy: skincare is a journey of discovery, not a problem to fix.

Tone & Voice

We Are...	We Are Not...
Warm, conversational, like a smart friend who's been through it	Corporate, clinical, or preachy
Clear, direct, and honest — even when the answer is "we don't know yet"	Jargon-heavy, condescending, or oversimplified
Forward-looking and empowering ("glowing forward")	Fear-based, anti-aging, or rooted in self-doubt
Data-informed but human — evidence with personality	Cold, transactional, or robotically technical
Witty, self-aware, pop-culture-literate	Try-hard, snarky, or dismissive
Inclusive of all skin types, tones, and starting points	Exclusionary, aspirational in an unattainable way, or one-size-fits-all

Value Propositions

VP1: "What's Right for Me?"

Value Proposition: Cut through the noise to find the treatments, products, and providers that actually match your skin, goals, and budget.

Problem: You're overwhelmed by medspa treatments, conflicting recommendations, and an internet full of sponsored opinions. Everyone is selling something.

Solution: Personalized onboarding, curated recommendations powered by Aesthetic Intelligence, side-by-side comparisons, and a treatment library with honest expectation-setting.

Benefit: Clarity and confidence in every decision. Less time researching, more time acting.

VP2: "Is It Worth It?"

Value Proposition: Finally know if your treatments and products are actually working with private progress tracking that turns hope into evidence.

Problem: Spending hundreds (or thousands) on treatments but you honestly can't tell what made a difference. Your "before" photos are in different lighting.

Solution: Structured photo tracking, treatment timelines with expected milestones, regimen logging, smart reminders, and guided check-ins.

Benefit: Real evidence of what's working. Confidence to rebook, switch, or stop. Your Luma Evidence Moments (LEMs).

VP1 Hooks by Persona

Persona	Hook 1 (Pain Spotlight)	Hook 2 (Credibility)	Hook 3 (Obstacle Flip)
Claire	"You've tried everything. But do you know what actually worked?"	"Built with plastic surgeons and dermatologists — not influencers."	"Your provider can only recommend what they offer. LumaTrack shows you everything."
Priya	"Every month you spend researching is a month your skin isn't improving."	"First-timers: stop Googling. Start planning."	"Imagine walking into your first consultation knowing exactly what to ask."
Megan	"Your personalized treatment plan in 5 minutes. No Reddit required."	"Think of LumaTrack as a financial advisor for your face."	"You don't need to become a skincare expert. You need a smarter system."

VP2 Hooks by Persona

Persona	Hook 1 (Pain Spotlight)	Hook 2 (Credibility)	Hook 3 (Aspirational)
Claire	"You spent $1,200 on that laser. Can you prove it worked?"	"Track every treatment, product, and result in one private timeline."	"Finally have the receipts when friends ask 'what did you do?'"
Priya	"Afraid of picking wrong? Track from day one so you'll know for sure."	"Skin treatments work on 3-6 month timelines. Don't wait to find out it didn't work."	"Starting your first treatment? Capture your baseline now — future you will thank you."
Megan	"Snap. Compare. Know. Progress tracking that takes 30 seconds."	"Your treatments deserve the same tracking as your investments."	"Stop guessing if it worked. Start seeing the proof."

Proprietary Terms

Aesthetic Intelligence

LumaTrack's proprietary physician-informed AI that combines expert insight, real-world data, and personal progress tracking to deliver evidence-backed skincare guidance.

LEMs (Luma Evidence Moments)

The core engagement metric. A LEM is when a user tracks their progress 1-2 times post-treatment or over 1-2 months of product use, creating real evidence of results.

Brand Guardrails

Do

Forward, not anti. Say "glowing forward" not "anti-aging." Celebrate the journey, not the problem.
Undetectable is the goal. Appeal to the woman who wants subtle, natural results.
Evidence over hype. Don't make promises you can't track. Tie claims to something measurable.
Your knowledgeable friend. Warm, honest, sometimes funny, always useful.
Empowerment and curiosity. The energy is discovery and confidence.

Don't

No fear-based marketing. Never rooted in self-doubt, insecurity, or "you need to fix this."
No beauty app cliches. Not another skincare app telling you to buy retinol.
No influencer brand energy. Premium evidence, not a life hack.
No dramatic transformation language. "Results" not "transformation."
No prescriptive "should." "Might want to" or "consider" instead.

Channel Roles

Channel	Role
Instagram / TikTok	Primary organic + paid. Treatment education, decision content, tracking stories, founder voice.
LinkedIn	Founder thought leadership ([Founder]'s POV on building in beauty + tech).
Substack ("[Brand Newsletter]")	Long-form founder content. Personal treatment stories, industry critique, product transparency.
LumaTrack Magazine (blog)	SEO + education. Treatment guides, budgeting, ingredient deep-dives.
Email	Lead magnet (education-first) → app download conversion. Re-engagement.
In-Clinic (B2B2C)	QR codes, table tents, staff scripts at partner medspas. Hyperlocal: Bay Area, LA, San Diego.
C2C (Word of Mouth)	Before/after sharing, friend invites framed by VP1 or VP2.

Back to top

09

Positioning & Messaging

Narrative kernel, reframe ladder, VP bridge, taglines, and complete language guide — built from social listening data and brand strategy.

Narrative Kernel

"If LumaTrack disappeared tomorrow, what would our best users miss most?"

Not the features. Not the photo capture. Not the treatment library. They would miss:

Knowing. Knowing when to go back. Knowing if it worked. Knowing what they spent and whether it mattered.
The end of guessing. No more "I think I look better?" No more mental math on when Botox wore off.
Feeling in control of something that used to be vague.

"We exist so women who invest in their appearance can finally know — not guess, not hope, not wonder — whether it's actually working."

The Narrative Kernel

Kernel Test Across Personas

Claire: "I finally have the receipts." (Knowing = evidence of ROI)

Priya: "I finally know what to do." (Knowing = clarity that enables action)

Megan: "I finally don't have to remember." (Knowing = automated memory)

The kernel holds across all three. "Knowing" is the universal emotional outcome.

Reframe Ladder

LumaTrack's category risk: if positioned as a "tracking app," the default comparison is the camera roll (free). The reframe moves the conversation to a problem only LumaTrack solves.

From "tracking app" to "evidence system" — 4 steps of progressive reframing

1

The Obvious Problem

"Women need better tools to manage their skincare and aesthetic treatments."

2

The Deeper Problem

The problem isn't management. It's evidence. Women spend $3,600-$12,000+/year on treatments and have zero proof of what worked. They make $400-$1,200 decisions on memory and hope.

3

Why Existing "Solutions" Fail

Camera roll: Different lighting, angles, times of day — evidence of nothing. Provider systems: Only see what THEY did. Reddit: Other people's evidence, not yours. Memory: Gradual change is invisible.

4

The New Problem Only LumaTrack Solves

"You're making expensive decisions about your face with no personal evidence." LumaTrack doesn't help you track treatments. LumaTrack helps you prove they worked.

B.A.D. to B.E.S.T. Messaging Transformation

Claire: The Curated Connoisseur

B.A.D. (Current Risk)

"Track your treatments and products in one intelligent system with AI-powered recommendations."

Boastful: "AI-powered" is a feature claim, not a benefit
Abstract: "intelligent system" means nothing to a consumer
Dry: sounds like SaaS, not personal

B.E.S.T. Transformation

Benefit-led: "See exactly which treatments are delivering results — and which aren't worth rebooking."

Empathetic: "You've spent $8K this year. You deserve to know if it worked."

Story-driven: "She spent $30K on treatments over five years. When her friend asked 'what made the biggest difference,' she couldn't answer. Now she can."

Transformational: "From guessing if your Botox is 'still working' to knowing exactly when it wears off."

Final line: "Your treatments cost thousands. Your evidence shouldn't live in your camera roll."

Priya: The Thoughtful Explorer

B.A.D. (Current Risk)

"Personalized treatment recommendations based on your goals, skin type, and budget."

Boastful: "personalized" is overused, meaningless in beauty
Abstract: "based on your goals" — every app says this
Dry: reads like an app store description

B.E.S.T. Transformation

Benefit-led: "Stop researching. Start knowing what's right for your specific face, budget, and comfort level."

Empathetic: "You've been thinking about Botox for months. Every thread says something different. That's not your fault — it's a broken system."

Story-driven: "She had 14 open tabs, 200 Reddit posts saved, and a Notes document with 47 bullet points. She still couldn't decide. Then she answered 5 questions and got a plan."

Transformational: "From 'I'm still researching' to 'I know exactly what I'm doing, why I'm doing it, and what to expect.'"

Final line: "You don't need more opinions. You need a plan."

Megan: The Guided Minimalist

B.A.D. (Current Risk)

"Smart reminders and treatment logging with automated aftercare tracking."

Boastful: "smart" and "automated" are tech-speak Megan ignores
Abstract: "treatment logging" sounds like homework
Dry: productivity app, not helpful nudge

B.E.S.T. Transformation

Benefit-led: "Never forget to rebook. Never wonder when you last went."

Empathetic: "You have the kids' dentist, your annual physical, school stuff, and work. Botox keeps falling to the bottom. We get it."

Story-driven: "She was supposed to go back at 3 months. She went at 6. Her lines were deeper and she needed more units. One reminder would have saved her $200."

Transformational: "From 'I keep meaning to go back' to 'it's handled.'"

Final line: "Your Botox appointment should be as automatic as your grocery delivery."

The VP1 → VP2 Bridge

VP1 ("What's Right?") → First Treatment → VP2 ("Was It Worth It?") — the highest-leverage lifecycle moment

The bridge is the highest-leverage moment in LumaTrack's user lifecycle. It converts a "researcher" into a "tracker" — transforming a VP1 user who might churn into a VP2 user who builds longitudinal data.

Bridge Messaging Sequence

Timing	Message
Pre-appointment (1-3 days)	"Your appointment is coming up. Take 60 seconds to capture your 'before' — you'll want this later."
Day of treatment	"You just had [treatment]. Welcome to your tracking journey. Here's what to look for this week."
Day 3	"How are you feeling about your [treatment]? Quick check-in (30 seconds)."
Day 7	"One week in. Time for your first comparison photo. Same angle, same lighting."
Day 14	"Two weeks — this is when [treatment] typically peaks. How do you look compared to Day 1?"
Day 30	"Your first Luma Evidence Moment. Here's your before and after. This is what $[amount] bought you."

Bridge by Persona

Priya: The bridge IS the conversion moment. "You did it. You got your first Botox. Now let's make sure it was worth it."
Claire: Already in VP2 but bridge deepens engagement. "You logged your Botox. Now let's compare it to last time."
Megan: Doesn't experience the bridge as messaging. Provider sets up app, reminders just work. VP2 accrues passively.

Category Creation Language

Do Say

"Your aesthetic evidence system"
"The proof behind your glow"
"Your beauty decisions, backed by your own data"

Don't Say

"Treatment tracking app" (invites camera roll comparison)
"Beauty app" (commodity category)
"AI skincare tool" (overpromises)
"Aesthetic management platform" (clinical B2B)

Tagline Candidates

"Know your glow."

Universal — Primary recommendation

Short, warm, ties to Narrative Kernel. Double meaning: know what's working + know your beauty.

"Stop guessing with your face."

Claire/Priya — Best for paid ads

"The proof behind your glow."

Claire — Best for brand/PR contexts

"Your treatments, tracked. Your results, proven."

Claire/Megan — Best for App Store

"Glow forward."

Universal — Brand building & community

"Every treatment tells a story. Start reading yours."

Priya — Narrative-driven, journey-oriented

"Because 'I think it worked' isn't good enough."

Claire — Best for VP2 ad creative

Positioning Statements

Universal (Brand-Level)

LumaTrack is the first evidence system for women who invest in aesthetic treatments — turning scattered photos, forgotten appointments, and hopeful guesses into clear proof of what works.

Claire variant: "For women who spend thousands on treatments and want to know exactly what's delivering results, LumaTrack is the portfolio view of your aesthetic investments that no provider, app, or camera roll can give you."

Priya variant: "For women researching their first treatment and drowning in conflicting advice, LumaTrack is the trusted guide that cuts through the noise with personalized, honest recommendations so you can stop researching and start deciding."

Megan variant: "For busy women who get treatments but forget to go back, LumaTrack is the smart reminder that knows your treatment history and tells you exactly when it's time."

Competitive Positioning

LumaTrack does not compete head-to-head with any existing product. It contrasts against the fragmented tools women currently cobble together.

"Solution"	What It Gives You	What It Can't Give You	LumaTrack's Contrast
RealSelf	Other people's reviews	YOUR personal evidence	"Their stories vs. your evidence"
Alle	Loyalty points on Allergan products	Cross-brand, cross-provider tracking	"Points vs. proof"
Camera Roll	Random photos	Structured, comparable evidence	"Photos vs. evidence"
Reddit	Community opinions	Personalized, data-backed recs	"Opinions vs. your data"
Provider records	What ONE provider did	Cross-provider, patient-controlled history	"Their records vs. your complete picture"
Nothing (memory)	Vague impressions	Anything measurable	"I think vs. I know"

Language Guide

Words to Use (from social listening)

Word/Phrase	Why It Works	Source
"journey"	How women naturally describe their aesthetic experience	Dominant framing across 200+ posts
"glow up"	Aspirational transformation language. Positive, forward-looking.	Common in both Reddit and Twitter
"worth it"	The ROI question in consumer language. Universal.	40 posts matching "is botox worth it"
"keep track"	How women describe the tracking need. Not "log" or "monitor."	"I want to keep track of it somewhere" (27 upvotes)
"wore off" / "wearing off"	How women describe treatment duration ending. Natural.	Dominant phrasing for treatment fading
"conservative"	Signals safety and subtlety. Priya's #1 trust word.	"I would always tell the nurses to be extra conservative"
"natural"	The aesthetic goal across all personas.	Dominant desired outcome descriptor
"evidence" / "proof"	Claire's language for what she wants. Data-adjacent but warmer.	Story System: "evidence over hype"
"refreshed" / "rested"	Ideal outcome. Not "younger."	Priya: "you look well-rested and doesn't know why"
"smart"	Positions the decision as intelligent, not vain.	"the smart friend in the group chat"

Words to Avoid

Word/Phrase	Why It Fails	Use Instead
"anti-aging"	Fear-based, backward-looking. Violates guardrails.	"glowing forward" or nothing
"optimize"	Too clinical, too tech. Sounds like SaaS.	"get the most out of" or "see what's working"
"protocol"	Medical jargon. Intimidating for Priya.	"routine" or "plan"
"regimen"	Stiff, clinical. Women say "routine."	"routine" or "journey"
"aesthetic intelligence" (in ads)	Proprietary term meaningless to consumers.	Reserve for PR, investor, in-app only
"AI-powered"	Overused, meaningless in consumer context.	"personalized" or "built with dermatologists"
"transform"	Implies dramatic change. Conflicts with "undetectable."	"results" or "progress" or "difference"
"patients"	Clinical framing.	"women" or "you"
"should"	Prescriptive and judgmental.	"might want to" or "consider"
"hack" / "tricks"	Cheapens the brand.	"insights" or "what we've learned"

Messaging Hierarchy by Persona

Claire: The Curated Connoisseur

Primary: "Finally see if your treatments are actually working."

Supporting: (1) Track every treatment across every provider in one private timeline. (2) Compare before/after with structured photos. (3) Know YOUR personal treatment duration. (4) See cost per result, not just cost per visit.

Proof: No existing app offers cross-provider history. Structured photo capture. Personal duration tracking. Physician-informed methodology.

Priya: The Thoughtful Explorer

Primary: "Cut through the noise. Find what's right for you."

Supporting: (1) Personalized recs based on goals, concerns, budget — not provider inventory. (2) Honest expectation-setting for every treatment. (3) First-timer's guide. (4) Capture baseline from Day 1.

Proof: 902 women posted about first-time Botox on Reddit. Treatment library with real timelines. 5 minutes to first recommendation.

Megan: The Guided Minimalist

Primary: "We'll remind you. You just show up."

Supporting: (1) Smart reminders based on YOUR history and timing. (2) One-tap treatment logging: 30 seconds. (3) Full history in one place. (4) No research required.

Proof: Missing rebooking by 2 months = extra units + higher cost. Provider-endorsed. 30-second onboarding. Max 2 notifications/month.

Back to top

10

Full Funnel Architecture

Per-persona journey maps from ad impression through LEM creation and retention — with specific tactics, hooks, lifecycle emails, and metrics at every stage

The six-stage consumer decision journey: Awareness → Research → Decision → Treatment → Recovery → Maintain

The Three Problems This Funnel Solves

1

The Timing Mismatch

Women download LumaTrack from a paid ad but don't have a treatment to track right now. Result: 90% never log in a second time. The app's core value (VP2: tracking) requires something to track, but paid ads reach people at random moments in their treatment cycle.

2

The [X]% Onboarding Drop-Off

Of users who install, [X]% never complete onboarding. The selfie capture, quiz length, and account creation wall each add friction before any value is delivered. Every user who doesn't onboard is invisible to the entire lifecycle system.

3

Near-Zero LEM Contribution

Almost no users reach a Luma Evidence Moment — the point where they track progress 1-2 times post-treatment. Without LEMs, there is no proof that the product thesis works, no shareable content for viral loops, and no data for the investor narrative.

The Unified Solution

The strategy solves all three simultaneously by (a) acquiring users at the moment of treatment via in-clinic B2B2C, (b) holding timing-mismatched users via VP1 value and email nurture, (c) reducing onboarding to 3 taps before value delivery, and (d) building an automated milestone-based lifecycle system that shepherds users from install to LEM with minimal friction.

North Star Metric: LEM Contribution Rate — the percentage of onboarded users who track progress at least once post-treatment.

Growth Operating Principles

1

Fix the funnel before filling it

2

Separate the GTM question from the product question

3

Treat LEMs as the only metric that matters

4

Respect the timing mismatch

5

Don't monetize prematurely

6

Use the brand advantage

7

Think in cohorts, not averages

Claire N. — The Curated Connoisseur

Claire 25% of SAM ~175K-225K users

Claire is a data-driven professional (38-50) spending $6,000-$12,000+/year across 2-4 providers. She enters through VP2 and becomes the highest-value user — premium subscriber, LEM creator, and word-of-mouth evangelist.

Stage	Messaging	Channel	Tactic	Lifecycle Email	Success Metric	Failure Recovery
Ad Impression	Hook 1 "The $8K Guessing Game": "You spent $8,000 on treatments this year. Can you name the one that actually made a difference?"	Meta Ads (VP2 creative), Ad Concept 8 "The Treatment Portfolio"	PAS hook format. Advantage+ Sales campaign, hyperlocal Bay Area/LA/SD. Whitelisted from founder's account for Concept 2 "[Founder]'s $2K Confession."	—	CTR 1.5%+ (Month 1), 2%+ (Month 3)	Rotate creative weekly. Kill below 1.5% CTR. Replace with Hook 22 "Hidden Unit Price" or Hook 5 "Provider Gap."
Click	App Store: "Your treatments, tracked. Your results, proven." Description leads with VP2: "Finally know if your treatments are actually working."	App Store (optimized listing)	App Store screenshots mirror the ad creative (portfolio view, treatment timeline). No disconnect between ad promise and store page.	—	Click-to-Install 15%+ (Month 1), 20%+ (Month 3)	A/B test App Store screenshots: treatment portfolio vs. before/after comparison as hero image.
Signup / Install	First screen: "Finally see if your treatments are actually working." Social proof: "Joined by [N]+ women tracking their aesthetic journey."	In-app (Territory Framework: Filter stage)	Deliver the outcome statement in 3 seconds. Premium design signals quality.	Flow 1 E1: Welcome email (immediate) — "Your treatment evidence system is ready."	Install-to-Onboarding-Start 90%+	If she doesn't start onboarding within 4h, push notification: "Your personalized plan is ready."
Onboarding	VP2 path: "What treatment did you just have?" + date picker + "Here's what to expect at Day 1, 7, 14, 30."	In-app (Territory Framework: Commit stage)	Value-first onboarding: show personalized treatment timeline BEFORE account creation. 3-Tap Test: Open > Select treatment > See timeline.	—	Onboarding completion 85%+ (Day 30), 90%+ (Day 90)	Stall recovery: Flow 2 E1 if she pauses (Trigger T1 at 48h). "Finish setup in 2 minutes."
Baseline Photo	"Take 60 seconds to capture your 'before' — you'll want this later."	In-app prompt + Push (Day 1 if skipped)	Photo capture is optional but prompted. Pre-fill treatment type, date, provider from onboarding. On-screen guides reduce bad-photo friction.	Flow 2 E2 "Treatment Log Nudge" (+48h if no baseline)	Baseline capture rate 50%+ of onboarders within 14 days	"You don't need a perfect photo. A quick selfie works."
First Treatment Log	"Your treatment timeline is live. Here's what to watch for this week."	In-app + Email (Flow 2 triggered)	1-tap treatment logging with pre-populated fields. Show the timeline immediately — the populated dashboard IS the reward.	Lifecycle Flow 2 E2: "Your Botox typically peaks at Day 7-14. Here's what to look for."	40%+ of users with baseline also log a treatment within 30 days	"Treatment coming up? We'll help you track results." (Email, 7d after baseline with no log)
First LEM	"Two weeks — this is when Botox typically peaks. How do you look compared to Day 1?" Then: "Your first Luma Evidence Moment. Here's what $504 bought you."	Push notification + In-app comparison overlay	Reduce LEM creation from 6 steps to 2: (1) Tap push notification to open camera with before photo pre-loaded, (2) Take photo, see instant comparison. Celebration screen.	Trigger T3: LEM Celebration email. "You just created your first Luma Evidence Moment!"	LEM contribution rate 5% (Day 30), 10-15% (Day 90)	If no LEM by Day 21: "Your [treatment] results should be settling in. Time to check in?"
D7 Return	Feature discovery: "You've logged 1 treatment with 1 provider. As you add more, you'll see your complete treatment story."	In-app + Email (Flow 2 E3 "Feature Discovery")	Show what the populated dashboard WILL look like with sample data. Tease cross-provider view.	Flow 2 E3: "Here's a feature you haven't tried yet."	D7 retention 15%+ (Day 30), 20%+ (Day 90)	"How are your results looking? Quick 2-question check-in."
Retention Loop	"Based on your history, your Botox typically wears off around now. Your last session lasted 14 weeks." + "Your treatment portfolio: 3 providers, 4 treatment types."	Push notification (treatment reminder) + In-app portfolio view	Smart reminders via Trigger T2. Dormancy management: Max 1 notification/month during maintenance cruise. ROI comparison surfaces at rebooking decision point.	Trigger T2: Treatment Reminder. Seasonal: "Spring treatment season" re-engagement.	D30 retention 15-20%. Cost per LEM-contributing user <$50.	Win-back at 30+ days dormant: "Spring treatment season is here. Your tracking is waiting for you."

Claire's VP Bridge

Claire enters at VP2 and stays there. She uses VP1 as a secondary tool when evaluating whether to ADD a new treatment (e.g., "Should I try Sculptra?"). Her bridge is VP2-to-VP1, the reverse of Priya — she goes from tracking to exploring, not the other way around.

Priya Anand — The Thoughtful Explorer

Priya 40% of SAM ~280K-360K users

Priya is a research-oriented professional (28-38) who has been considering her first treatment for 3-12 months. She enters through VP1 and converts to VP2 after her first treatment. Largest segment by volume.

Stage	Messaging	Channel	Tactic	Lifecycle Email	Success Metric	Failure Recovery
Ad Impression	"You've been researching Botox for 6 months. You have 14 open tabs, 47 bullet points in Notes, and you're MORE confused than when you started."	TikTok Ads (VP1 creative) + Meta Ads. Ad Concept 3 "14 Open Tabs"	Persona callout hook. UGC-style, iPhone-shot. First 3 seconds must hook. Also test Hook 7 "The Overthinker" on TikTok.	—	CTR 0.8%+ (TikTok), 1.5%+ (Meta). Hook rate (3s view) 30%+ on TikTok.	Rotate to Hook 10 "The Almost-Ready First-Timer" or Hook 12 "Stop Researching." Test Concept 9 "First Time? Start Here."
Click	App Store: "Your personalized treatment plan in 5 minutes." / "Cut through the noise. Find what's right for you."	App Store	Screenshots show the onboarding quiz (simple, warm) and the recommendation output. No intimidating tracking screens.	—	Click-to-Install 15%+	A/B test "personalized plan" vs. "first-timer guide" as hero screenshot.
Signup / Install	First screen: "Your personalized treatment plan in 5 minutes. No Reddit required." Category anchor: "The knowledgeable friend in the group chat."	In-app (Filter stage)	Immediate VP1 value signal. No tracking screens visible yet. The app presents as a recommendation engine, not a tracker.	Flow 1 E1 / Post-install: Flow 2 E1 "First Steps" (immediate).	Install-to-Onboarding-Start 90%+	Push at 4h: "Your personalized plan is ready — see what we recommended."
Onboarding	VP1 path: value FIRST, then ask for account creation. "Based on your answers, here's what we recommend..." shows treatment name, expected timeline, cost range.	In-app (Commit stage)	Show personalized recommendation BEFORE account creation. Valid defaults: pre-select most common treatment (Botox). Time to first value: ~2 minutes.	—	Onboarding completion 85%+. Time to first value <3 minutes.	Stall recovery at 48h: "Finish setup in 2 minutes. Your plan is waiting." Reduce quiz if drop-off is at question screen.
VP1 Value (Pre-Treatment)	"You don't need more opinions. You need a plan." Treatment library with honest expectation-setting.	In-app + Email nurture + Substack "[Brand Newsletter]"	VP1 delivers immediate TTFV without requiring a treatment. Email lead magnet: "The Smart Woman's Guide to Your First Injectable." 6-email nurture holds Priya for weeks-months. This is how VP1 solves the timing mismatch.	Lead magnet nurture E1-E6 (30-day sequence). E3: "3 questions to ask at your first consultation." E5: VP2 bridge.	Lead-to-download conversion rate. Email open rate 35%+.	"We found a treatment that matches your goals" (Push, D7). Content nudge: link to relevant Substack post.
Treatment Booked	THE BRIDGE MOMENT: "You did it. You booked your first Botox. Now let's make sure it was worth it." Pre-appointment: "Take 60 seconds to capture your 'before' — you'll want this later."	Push notification + In-app prompt	This is the highest-leverage conversion moment in the entire funnel. Priya transitions from VP1 (researcher) to VP2 (tracker). Baseline photo capture creates the foundation for her first LEM.	Bridge email: "Your appointment is coming up. Capture your baseline now — future you will thank you."	VP1-to-VP2 bridge rate: establish baseline (Day 30), 20%+ (Day 90). Baseline photo capture: 60%+.	"Don't worry about the perfect photo. A quick selfie is all you need."
First Treatment	"You just had Botox. Welcome to your tracking journey. Here's what to expect this week."	In-app + Push + Email	In-app treatment logging: pre-populated "Botox." Date defaulted to today. 1-tap log. Show personalized treatment timeline: Day 0, 1-3, 7, 14, 30.	Bridge email: "Your treatment timeline is live. Here's what to watch for."	Treatment logged within 24h of appointment: 50%+	"How did it go? Quick log takes 30 seconds." (Push, evening of treatment day)
Check-ins & LEM	Day 3: "Quick check-in (30 seconds)." Day 7: "Same angle, same lighting." Day 14: "This is when Botox typically peaks." Day 30: "Your first Luma Evidence Moment."	Milestone-based push notifications (from treatment log, not install)	Progressive check-ins at treatment-appropriate intervals. Each notification opens camera with comparison overlay pre-loaded. LEM celebration at Day 30 includes shareable format + friend invite.	Trigger T3: LEM Celebration. "You just created your first Luma Evidence Moment!"	LEM contribution rate. Priya's first LEM is the most emotionally powerful moment in the funnel.	If stalled at Day 14: "Your Botox results should be settling in. Time to check in?" One recovery attempt, then quiet.
Retention Loop	"Your Botox lasted 14 weeks last time. How does this round compare?" Treatment comparison over time becomes the retention hook.	Smart reminders (Trigger T2) + In-app longitudinal comparison	Data accumulates passively. Switching costs increase with each logged treatment. Persona evolution: Priya → Claire as she builds a treatment portfolio over 2-3 years.	Trigger T2: Treatment reminder. Seasonal: "Spring treatment season" (March-May).	D30 retention 15-20%. Rebooking on time.	30-day win-back: "Your last Botox was [X] months ago. Ready to track your next round?"

Priya's VP Bridge — The Highest-Leverage Moment in the Funnel

VP1 captures Priya during her 3-12 month research phase. Immediate TTFV (~2 minutes to first recommendation). VP1 holds her via email nurture and treatment library until she books. The bridge fires when she books: "Capture your baseline now — future you will thank you." VP2 activates after her first treatment. She is now a tracker. The bridge timing is persona-specific: Priya bridges at first treatment (could be months post-download).

Megan Torres — The Guided Minimalist

Megan 35% of SAM ~245K-315K users

Megan is a busy professional mother (34-48) who gets Botox 2-4 times per year but has zero engagement with the aesthetic information landscape. She is acquired almost exclusively through in-clinic provider referral and retained through smart reminders. Zero-friction is non-negotiable.

Stage	Messaging	Channel	Tactic	Lifecycle Email	Success Metric	Failure Recovery
Ad Impression	Table tent: "Get the most from today's treatment. Scan to track your results." + "Your provider recommends LumaTrack."	In-Clinic B2B2C: QR code table tent (waiting room + treatment room + checkout). Take-home card. Staff script.	In-clinic acquisition solves ALL three problems simultaneously: (1) She has something to track RIGHT NOW, (2) Provider endorsement bypasses trust barrier, (3) Staff can assist with 30-second setup.	—	Installs per activation day: 15-30. In-clinic install rate: 10-15% of patients.	Staff script Version B: "We use LumaTrack to help our patients get the most from their treatments." If table tents don't convert, add checkout handoff card.
Click / Install	App Store for Megan: "We'll remind you when it's time to go back." Radically simple messaging.	QR code → App Store (unique UTM per clinic location)	Unique UTM-tagged QR codes per clinic. Attribution tracked via aggregate installs per clinic code.	—	QR-to-Install 40%+ (high intent, in context).	If QR doesn't scan: checkout staff hands take-home card with printed URL shortlink.
Onboarding	"You're all set. We'll remind you when it's time for your next treatment." Peak moment: resolution, not more work.	In-app (Provider-assisted setup)	30-second onboarding: staff selects treatment type, enters units, taps "Done." Photo captured by staff (consistent lighting). Megan does almost nothing. Zero-education onboarding.	—	Onboarding completion 90%+ (in-clinic cohort). Time to setup: <60 seconds.	If staff doesn't help: simplified self-service path. "What treatment did you just have?" (one tap: Botox) + "When?" (today) + Done.
Baseline Photo	"Your baseline is set. We'll check in at Day 7."	In-clinic (staff-assisted capture)	Structured photo capture in clinic = consistent lighting, consistent angle. Dramatically better than at-home selfie. In-clinic photos are highest-quality LEM inputs.	—	Baseline capture rate 80%+ for in-clinic cohort (vs. 50% for paid social)	Push at 4h post-appointment: "Quick selfie before you forget? It takes 10 seconds."
Treatment Log	"Your Botox is logged. We've got it from here."	In-app (pre-populated at setup)	The treatment log IS the onboarding for Megan. No separate step.	In-clinic lifecycle E1 (same day): "You just had Botox at [clinic name]. Here's how to get the most from it."	Treatment logged: 90%+ for in-clinic cohort	Not applicable — treatment is logged during setup.
First LEM	"Time to check in. Quick photo?" Then: "Here's your before and after. Looking good."	Push notification (Day 14 milestone trigger)	2-step LEM creation: (1) Tap notification, (2) Take photo. Before photo pre-loaded. Celebration is brief and warm — Megan doesn't want a party, she wants confirmation.	Trigger T3: LEM Celebration (simplified). "Your first check-in is done. We'll remind you when it's time to rebook."	LEM contribution rate 20%+ for in-clinic cohort (Day 60 diagnostic benchmark)	ONE gentle push at Day 21. "Your Botox results should be settling in. Quick check-in?" If no response: quiet period. Do not nag Megan.
D7 Return	"How's your recovery going? Quick 2-question check-in."	Push (Day 7)	Megan is dormant 80% of the time. The 20% reachability windows must deliver enough value to prevent uninstall. Do NOT pursue aggressive engagement during maintenance cruise.	Flow 2 E2: "Your recovery is on track." (Only if push disabled)	D7 retention is less important for Megan than rebooking-window retention.	No aggressive recovery for Megan. She'll engage at rebooking. Patience.
Retention Loop	"Your Botox typically lasts 3.5 months for you. Next appointment window: this week."	Smart reminder (Trigger T2, personal cycle offset)	The smart reminder IS the product for Megan. One well-timed reminder saves her $140-$280 in extra units from over-lapse. Treatment history accumulates passively over 6-12 months.	Trigger T2: "Your [treatment] typically lasts [X months]. Your next window is coming up."	Rebooking within personal cycle window: 70%+. Megan retained at 6 months: 50%+.	ONE follow-up at +1 week: "Want us to remind you again next week?" Then quiet. Respect the "no."

Megan's VP Bridge

Megan doesn't experience a conscious VP bridge. She enters through her provider (neither VP), receives utility value (reminders), and VP2 value accrues passively over 6-12 months as her treatment history builds. When she eventually switches providers, her LumaTrack history becomes indispensable: "I can tell my new provider exactly what I've been getting." That's when she discovers VP2's full value — built without her doing anything.

The Timing Mismatch Solution

The timing mismatch is LumaTrack's structural challenge: VP2 (tracking) requires a recent or upcoming treatment, but most users arrive between treatments with nothing to track. Three solutions, each mapped to the personas most affected.

1

In-Clinic Acquisition (Acquire at Moment of Treatment)

User downloads in the medspa waiting room or treatment room. She just had (or is about to have) a treatment. She has something to track RIGHT NOW. Applies to: Megan (primary), Claire (secondary). QR code table tents, take-home cards, staff scripts at 4 partner medspas.

So What: In-clinic users should have 3-5x higher LEM rates than paid social users. If this hypothesis holds at Day 40, in-clinic expansion becomes the #1 priority.

2

VP1-to-VP2 Bridge (Hold with Recommendations Until Treatment Happens)

User downloads for VP1 ("What's Right for Me?"). She gets a personalized recommendation in 2 minutes. She explores the treatment library, saves a plan. Weeks or months later, she books her first treatment. The bridge fires: "Capture your baseline now." Applies to: Priya (primary), Claire (secondary).

So What: Priya's research phase lasts 3-12 months. VP1 delivers value during that entire window without requiring a treatment. Email nurture transforms a would-be bounce into a warm lead.

3

Email Nurture (Lifecycle Holds Users Until Ready)

User installs, completes VP1 onboarding, gets a recommendation, but doesn't have a treatment to track. Lifecycle Flow 2 and the email lead magnet nurture sequence keep her connected. Seasonal triggers re-engage. Applies to: All personas, especially Priya and dormant Claire.

So What: Seasonal campaigns align with treatment decision windows (Jan-Feb New Year, Mar-May pre-summer, Sep-Oct fall repair).

Detecting User State

Signal	State	Action
Acquired via in-clinic QR code	Has treatment now	VP2 path: log treatment, capture baseline, begin milestone sequence
Onboarding answer: "Have you had treatments before? No"	Pre-first-treatment	VP1 path: recommendations, treatment library, email nurture until booking
Onboarding answer: "Yes, I have treatments" + no treatment logged within 7 days	Between treatments	Hybrid: show VP1 value + estimate rebooking window from onboarding answers + set Trigger T2
Treatment logged during onboarding	Just had treatment	VP2 path: immediate timeline, milestone check-ins, LEM sequence

The VP1-to-VP2 Bridge

VP1 ("What's Right?") → First Treatment → VP2 ("Worth It?") bridge flow

This is the most important conversion moment in LumaTrack's user lifecycle. It transforms a "researcher" (who might churn after getting a recommendation) into a "tracker" (who builds longitudinal data and becomes a retained user with increasing switching costs).

VP1 TTFV

~2 minutes (answer 3 questions, see personalized recommendation). Fast, satisfying, but doesn't require the app long-term.

VP2 TTFV

Days to weeks (capture baseline, wait for treatment results, do check-ins, see comparison). Slow, but this is the real moat — data that compounds over time.

Bridge Trigger Points

Trigger	When It Fires	Messaging Shift
Treatment booked (manual input or calendar)	1-3 days before appointment	"Your appointment is coming up. Take 60 seconds to capture your 'before' — you'll want this later."
Treatment logged (first)	Day of treatment	"You just had [treatment]. Welcome to your tracking journey. Here's what to expect this week."
First check-in completed	Day 3-7 post-treatment	"How are you feeling? Quick check-in." This establishes the tracking habit.
First LEM created	Day 14-30 post-treatment	"Your first Luma Evidence Moment. This is what $[amount] bought you." The emotional payoff.

Per-Persona Bridge Timing

Persona	Bridge Trigger	Typical Timing	Bridge Message
Claire	Already in VP2 at entry. Bridge deepens: first cross-provider log	Within first week	"You logged your Botox. Now add your filler from last month. Your complete treatment story starts here."
Priya	First treatment booked / first treatment completed	Weeks to months post-download	"You did it. You got your first Botox. Now let's make sure it was worth it."
Megan	Provider sets up app at treatment	At moment of acquisition (no bridge needed)	"You're all set. We'll remind you when it's time to come back." VP2 accrues passively.

Messaging Shift at Each Bridge Point

Phase	Language	Brand Mode
Pre-bridge (VP1)	"Find what's right for you. Get a personalized plan. Cut through the noise."	Explorer (curiosity)
Bridge moment	"Now let's track whether it works. Capture your baseline."	Transition
Post-bridge (VP2)	"See your results. Know your personal timing. Prove it was worth it."	Sage (evidence)

11

Channel Strategy

20 channels scored on 4 dimensions, tiered recommendations with persona mapping and phased rollout — no internal budget numbers

Tier breakdown: T1 (Meta/TikTok/In-Clinic), T2 (Organic/Founder/Email/Search), T3 (Influencer/SEO/Referral), T4 (Future)

Channel Scoring Matrix

Each viable channel is scored on four dimensions (1-10 scale). Composite = weighted average: LumaTrack Fit (30%) + Targeting Precision (25%) + Cost Efficiency (25%) + Audience Reach (20%). Weights reflect LumaTrack's stage: fit and targeting matter more than raw reach right now.

Channel	DC Category	Audience Reach	Cost Efficiency	Targeting Precision	LumaTrack Fit	Composite Score	Tier
In-Clinic B2B2C	Partnerships	5	9	10	10	8.5	Tier 1
Meta Ads (FB/IG)	Paid	9	7	9	9	8.5	Tier 1
TikTok Ads	Paid	8	7	7	8	7.5	Tier 1
Organic Social (IG/TikTok)	Content	7	8	5	8	7.0	Tier 2
Founder-Led Content	Content	4	9	6	9	7.0	Tier 2
Email Nurture/Lifecycle	Sales	3	9	8	8	7.0	Tier 2
Apple Search Ads	Paid	4	7	8	7	6.5	Tier 2
Google Search Ads	Paid	6	5	7	6	6.0	Tier 2
Influencer/UGC	Content/Paid	7	5	6	8	6.5	Tier 3
Company SEO/Blog	Content	7	8	5	7	6.8	Tier 3
Programmatic SEO	Content	6	7	5	5	5.8	Tier 3
Word-of-Mouth/Referral	Virality	6	10	3	8	6.8	Tier 3
Pinterest Ads	Paid	5	6	6	7	6.0	Tier 3
UGC Social Media	Content	5	8	3	7	5.8	Tier 3
LinkedIn Ads	Paid	3	3	8	4	4.5	Not Recommended
PR / Press	Content	5	6	2	6	4.8	Not Recommended
Reddit (organic)	Community	4	8	4	3	4.8	Not Recommended
X Ads (Twitter)	Paid	3	4	4	3	3.5	Not Recommended
Podcast Sponsorships	Content	4	4	5	6	4.8	Not Recommended
Events/Conferences	Sales	2	3	7	5	4.3	Not Recommended

Tier 1: Launch Channels (Day 1)

These channels start immediately and receive the majority of spend.

Tier 1

In-Clinic B2B2C

Why Tier 1: Acquires users at the moment of highest intent — they just had a treatment and have something to track NOW. Solves the timing mismatch problem that kills retention from other channels. [N] existing medspa partnerships provide immediate distribution.

Format: QR code table tents, take-home cards, staff scripts, activation days

Key metric: LEM contribution rate of in-clinic cohort vs. other channels

Reach: 5/10 Cost: 9/10 Targeting: 10/10 Fit: 10/10

Tier 1

Meta Ads (Facebook / Instagram)

Why Tier 1: Zero competitor paid ads in aesthetic treatment tracking = blue ocean. Target demo (women 30-55, affluent, urban) lives on Instagram. Rich visual creative from treatment footage library. CPIs already dropping daily.

Format: 9:16 Reels, 1:1 feed posts, Carousel. VP1 vs VP2 creative split test. Whitelisted from founder's personal account.

Key metric: Cost per LEM-contributing user, split by VP1 vs VP2

Reach: 9/10 Cost: 7/10 Targeting: 9/10 Fit: 9/10

Tier 1

TikTok Ads

Why Tier 1: Treatment reveal content performs exceptionally well. UGC-native format fits LumaTrack's brand voice. Growing aesthetic audience skews younger (Priya personas entering the research phase).

Format: UGC-style treatment tracking stories, "things I wish I knew" format, app demos

Key metric: Cost per LEM, post-install engagement rate

Reach: 8/10 Cost: 7/10 Targeting: 7/10 Fit: 8/10

Tier 2: Supporting Channels (Month 2-3)

These channels build trust, capture demand from other sources, and extend the funnel.

Tier 2

Organic Social (Instagram + TikTok)

Hours of treatment footage available. Before/after content is highest-engagement format. Creates creative assets that fuel paid campaigns.

Cadence: 5-6x/week on IG (Reels, carousels, stories). 3-4x/week on TikTok.

Reach: 7/10Cost: 8/10Targeting: 5/10Fit: 8/10

Tier 2

Founder-Led Content (Substack + LinkedIn)

[Founder]'s personal story IS the brand. "[Brand Newsletter]" Substack builds email list. LinkedIn reaches professional Claires. Founder content outperforms brand accounts in wellness/beauty by 2-3x.

Cadence: Substack biweekly. LinkedIn 1-2x/week.

Reach: 4/10Cost: 9/10Targeting: 6/10Fit: 9/10

Tier 2

Email Nurture / Lifecycle

Solves the timing mismatch by holding users between treatments. Customer.io infrastructure exists. Lifecycle emails drive re-engagement for dormant users.

Sequences: Incomplete onboarding (3 emails), Feature discovery (4 emails), Treatment reminder triggers, Win-back campaigns.

Reach: 3/10Cost: 9/10Targeting: 8/10Fit: 8/10

Tier 2

Apple Search Ads

High-intent users searching for treatment-related apps. Direct app install path. Complements Meta/TikTok by capturing bottom-funnel search demand.

Reach: 4/10Cost: 7/10Targeting: 8/10Fit: 7/10

Tier 2

Google Search Ads

Captures high-intent searchers ("is Botox worth it", "how long does filler last"). Web-to-app conversion structurally harder than social-to-app. Keep budget small, measure carefully.

Reach: 6/10Cost: 5/10Targeting: 7/10Fit: 6/10

Tier 3: Growth Channels (Month 4+)

These channels require proven product engagement before investment.

Tier 3

Influencer/UGC Partnerships

Treatment tracking stories are compelling. Micro-influencer army is possible. But need proven product value before scaling. Feb 23 in-clinic influencer day is the test case.

Reach: 7/10Cost: 5/10Targeting: 6/10Fit: 8/10

Tier 3

SEO / Content Marketing (LumaTrack Magazine)

Massive keyword opportunity ("is Botox worth it" = high volume, low competition). But 6-12 month time-to-value. Seeds must be planted now for Month 6+ harvest. 2-3 SEO-optimized articles/month.

Reach: 7/10Cost: 8/10Targeting: 5/10Fit: 7/10

Tier 3

Word-of-Mouth / Referral

Before/after sharing is a natural viral mechanic. LEMs ARE shareable content. But need users creating LEMs first before viral loops can activate.

Reach: 6/10Cost: 10/10Targeting: 3/10Fit: 8/10

Tier 3

Pinterest Ads

Aesthetic-oriented platform. Women use Pinterest for beauty inspiration. Visual format suits before/after content. Lower purchase intent than Meta/TikTok for app installs.

Reach: 5/10Cost: 6/10Targeting: 6/10Fit: 7/10

Not Recommended (Current Stage)

Channel	Why Not Now
LinkedIn Ads	High CPM ($8-12 per click), B2B-oriented platform. [Founder]'s organic LinkedIn is better.
Reddit Ads/Organic	Anti-marketing culture. Better as research source than acquisition channel.
X/Twitter Ads	Low-quality traffic for app installs. Platform instability.
Podcast Sponsorships	Indirect attribution. Hard to measure. Better as Tier 3 when budget allows.
Events/Conferences	Low scale, high cost. Opportunistic only.

Channel-Persona Mapping

Channel	Claire	Priya	Megan
In-Clinic B2B2C	Medium	Low	Very High
Meta Ads (IG)	High	High	Medium
TikTok Ads	Medium	Very High	Low
Organic Social	High	High	Low-Medium
Founder Content	High	High	Low
Email Nurture	High	High	Medium
Google Search	High	Very High	Low
Influencer/UGC	Medium	High	Low
SEO/Blog	High	Very High	Low
Referral	Very High	Medium	Medium

Key Takeaway: No Single Channel Reaches All Three

Megan is almost exclusively reachable via in-clinic B2B2C. Priya is reachable via paid social (TikTok + Meta) and content. Claire is reachable via Meta (VP2), Google Search, and referral. The channel mix must be multi-pronged.

Paid digital budget targets Priya + Claire only. Megan is 35% of SAM but ~10% of digitally addressable users. She is invisible in social data and does not respond to paid ads. Every dollar spent targeting Megan on Meta/TikTok/Google is wasted — acquire her through her provider.

Per-Persona Channel Recommendations

Persona	Primary Channel	Secondary Channel	VP Entry	Key Hook Type
Priya (40% of TAM)	Meta Ads (VP1), TikTok	Organic social, Founder content	VP1	Curiosity gap, Persona callout
Claire (25% of TAM)	Meta Ads (VP2), Google Search	Organic social, Substack	VP2	PAS, Cost/ROI
Megan (35% of TAM)	In-Clinic B2B2C (exclusive)	Email nurture (via provider)	Provider referral	Speed/ease, Provider endorsement

Phased Channel Rollout

Channel	Month 1	Month 2	Month 3	Month 4	Month 5-6
Meta Ads	Launch	Optimize	Scale winner	Geo expand	Scale
TikTok Ads	Launch	Optimize	Scale if CPI works	Scale	Scale
In-Clinic B2B2C	4 locations	Activation days	Expand	+3-5 locations	Scale
Google Search	Test	Optimize	Scale or cut	Maintain	Maintain
Apple Search Ads	Launch	Maintain	Maintain	Maintain	Maintain
Email Nurture	—	Launch	Optimize	Scale	Scale
Organic Social	—	Launch	Build	Optimize	Scale
Founder Content	—	Launch	Build	Optimize	Scale
Retargeting	—	—	Launch	Optimize	Scale
Influencer/UGC	—	—	—	Launch	Scale
SEO/Blog	—	—	—	Plant seeds	Build
Referral/Viral	—	—	—	—	Test

Channel Synergies & Dependencies

Synergy	How It Works
In-Clinic → Paid Social	In-clinic users create LEMs → LEMs become UGC for paid social creative → more authentic ads
Paid Social → Email Nurture	Users who install but don't activate → lifecycle emails bridge the timing gap → re-engagement
Founder Content → Paid Social	[Founder]'s Substack/LinkedIn posts → whitelisted as paid ads → founder credibility + paid reach
Organic Social → Paid Creative	Organic post performance signals → top performers become paid creative → lower CPA
SEO/Blog → Email List	Blog visitors → lead magnet capture → email nurture → app download
Influencer → Social Proof	Influencer tracking stories → social proof for paid ads and organic → credibility
LEMs → Referral	Users share before/after comparisons → friends ask "what app is that?" → organic installs

Critical Dependency

In-clinic acquisition quality determines the entire strategy. If in-clinic users have significantly higher LEM contribution rates than paid social users, it confirms the timing mismatch hypothesis and makes provider partnership expansion the #1 priority. If in-clinic users also don't engage, it signals a product problem that no channel optimization can fix.

This diagnostic (in-clinic vs. paid social cohort comparison) should be the Day 40 deliverable that shapes all subsequent allocation.

12

The Hook Library

27 hooks organized by type — each sourced from verbatim consumer language (1,500+ Reddit posts, 500+ comments, 140+ tweets)

All hooks use verbatim consumer language from social listening data. Hook frameworks: PAS (Problem-Agitate-Solve), Persona Callout, Contrarian, Curiosity Gap, Social Proof, Cost/ROI, Fear/Relief. Brand guardrails from the Story System applied throughout.

PAS Hooks (Problem-Agitate-Solve)

"Directly call out a pain point, twist the knife, and frame your product as the solution."

Claire VP2 TOF

Hook 1: "You spent $8,000 on treatments this year. Can you name the one that actually made a difference?"

Source: "I've spent so much money and I honestly can't tell you what actually made a difference" (Claire persona, Story System)

Claire VP2 TOF

Hook 2: "Your treatment history lives in a Notes doc you started and abandoned, 23,000 photos in your Camera Roll, and a text thread with your friend from 6 months ago."

Source: "I took so many notes and tried different products until the point I am today" (Reddit, r/SkincareAddiction)

Claire Megan VP2 TOF

Hook 3: "Your injector said 3-4 months. Your body says 6 weeks. And you have no idea which one to believe."

Source: "I stopped Botox because it was only lasting a month. Dysport seems to last a little longer" (Reddit comment)

Priya VP1 TOF

Hook 4: "You've been researching Botox for 6 months. You have 14 open tabs, 47 bullet points in Notes, and you're MORE confused than when you started."

Source: "Every Reddit thread says something different" (Priya persona, Story System)

Claire VP2 TOF/MOF

Hook 5: "You've seen 3 different providers for 3 different treatments. None of them know what the others did. And neither do you."

Source: "I'm between injectors, I go to one medspa for my filler and another one for Botox" (Reddit comment)

Claire Priya VP2 TOF

Hook 6: "You're about to spend $600 on filler and your 'before photo' is a dimly lit bathroom selfie from 4 months ago."

Source: "I took a before photo somewhere but it was in totally different lighting" (Claire persona, Story System)

Persona Callout Hooks

"Call out who it's for directly in the ad."

Priya VP1 TOF

Hook 7: "If you've read 200 Reddit posts about first-time Botox and STILL haven't booked, this is for you."

Source: 902 Reddit posts matching "first time botox" (social listening data)

Claire VP2 TOF

Hook 8: "For women who spend $400+ a month on treatments but track their results in... their memory."

Source: "She spent 30k+ on lasers/skincare" (Reddit, 1,692 upvotes)

Megan VP2 TOF

Hook 9: "You forgot to rebook your Botox. Again. And now your elevens are back."

Source: "I know I'm overdue but I keep putting it off" (Megan persona)

Priya VP1 TOF

Hook 10: "You've asked 3 friends, watched 50 TikToks, and saved 14 Instagram posts. You're not still researching. You're stalling."

Source: "I've been thinking about Botox for months but I keep going back and forth" (Priya persona, Story System)

Claire VP2 MOF

Hook 11: "Botox at one medspa. Filler at another. Laser at your derm. Zero idea what your total treatment story looks like."

Source: "I've been getting Botox/dysport for about 2.5 years. This past November I switched medspas" (Reddit)

Contrarian Hooks

"Something that goes against common beliefs."

Priya VP1 TOF

Hook 12: "Stop Googling 'first time Botox.' You'll never feel ready from a Reddit thread."

Source: "I've always been a little intimidated about seeing a dermatologist" (Reddit, r/SkincareAddiction)

Claire Priya VP1 MOF

Hook 13: "Your injector can only recommend what they offer. That doesn't make it what's best for you."

Source: "My provider recommended this but I'm not sure it's the best option — just the one they offer" (Claire persona, Story System)

Megan Claire VP2 TOF

Hook 14: "You don't need another skincare routine. You need a system that remembers what you did and whether it worked."

Source: "Just tell me what to buy and where to go" (Megan persona, Story System)

Curiosity Gap Hooks

"Leave out key details to create intrigue."

Claire Priya VP2 TOF

Hook 15: "The one thing every woman tracking her treatments discovers after 3 months."

Source: Treatment duration variability is a MAJOR pain point (social listening)

Claire VP2 TOF

Hook 16: "She tracked every treatment for 6 months. What she found out about her Botox changed everything."

Source: "Spent 30k+ on lasers/skincare — here are my hacks and takeaways" (Reddit, 1,692 upvotes)

Claire Priya VP2 TOF

Hook 17: "Why your Botox lasts 4 months and hers lasts 6 weeks. (It's not what your injector told you.)"

Source: "Working out daily and using a sauna multiple times per week is increasing your metabolism and causing your body to metabolize the Botox faster" (Reddit, 38 upvotes)

Social Proof Hooks

Priya VP1 MOF

Hook 18: "902 women posted about first-time Botox on Reddit this year. They all had the same 3 questions. We built an app that answers them."

Source: 902 Reddit posts matching "first time botox" (social listening data)

All VP1 + VP2 TOF

Hook 19: "She's the friend in the group chat who always knows which treatment to get, when to rebook, and whether it was worth it. Now there's an app that does what she does."

Source: Brand archetype: "The knowledgeable friend in the group chat who actually did the research" (Story System)

Claire Priya VP2 MOF

Hook 20: "This before/after got 1,232 upvotes on Reddit. Imagine having your own — with actual data behind it."

Source: Before/after posts are the highest-engagement content type across all subreddits (social listening)

Cost/ROI Hooks

Claire VP2 TOF

Hook 21: "She spent $30,000 on treatments over 5 years. Her only tracking system? 'I think I look... better?'"

Source: "Spent 30k+ on lasers/skincare" (Reddit, 1,692 upvotes) + "I think I look... better?" (core problem)

Claire VP2 MOF

Hook 22: "You know your Botox costs $14/unit. You don't know your cost per month of visible improvement. Big difference."

Source: "My actual cost per month of visible improvement. Like, ROI by treatment type" (Claire persona)

Claire Megan VP2 MOF

Hook 23: "Forgetting to rebook Botox on time costs you an extra 10-20 units next visit. That's $140-$280 you didn't need to spend."

Source: "Forgot to rebook Botox twice last year, resulting in deeper lines that took more units to treat" (Claire persona)

Fear/Relief Hooks

These follow the "forward, not anti" guardrail. They name a real concern and immediately offer relief — not shame.

Claire Priya VP2 TOF

Hook 24: "What if your treatments have been changing your face so slowly you can't see it? (There's a way to check.)"

Source: "That I've been overdoing it gradually and can't see it because the change is so slow. Like frog in boiling water." (Claire persona)

Priya Claire VP2 MOF

Hook 25: "1,481 women upvoted a post about filler regret. The common thread? No baseline photo, no treatment record, no way to show a new provider what went wrong."

Source: "I went against recommendations and got under eye filler, could use some support" (Reddit, 1,481 upvotes)

Priya VP2 BOF

Hook 26: "Getting your first treatment? Future you will wish you captured a proper before photo. It takes 30 seconds."

Source: "Don't wait to wish you had a before photo" (Story System, VP2 Priya hook)

Bonus: GLP-1 Crossover Hook

Priya (GLP-1) VP1 TOF

Hook 27: "First time considering aesthetic treatments after your weight loss journey? Start with confidence, not confusion."

Source: 40% of GLP-1 patients at aesthetic practices are entirely new to aesthetics (Market Research)

13

Ad Concepts & Messaging

16 ad concepts with full creative briefs, the persona x funnel x channel messaging matrix, and complete ad funnel copy from the Story System

Creative Testing Cadence

Week	Action
1-2	Launch Concepts 1-5 (including "Your Botox Timer" — duration prediction is the #1 pain point). Monitor CTR, hook rate, CPI.
3	Kill anything with CTR below 1.5%. Launch Concepts 6-8 as replacements.
4-5	Measure VP1→VP2 bridge conversion and per-VP creative performance. Identify winning format.
6-8	Scale winners. Launch Concepts 9-12 to test new angles. Add retargeting with Concepts 11, 15, 16.
9-12	Iterate on winning creative DNA. Launch 6-8 new concepts based on learnings.

All 16 Ad Concepts

Concept 1: "The Camera Roll Scroll"

Claire VP2 Video 15s — phone-ception

Hook (0-3s): Close-up of a hand scrolling through a chaotic Camera Roll — random selfies, food photos, blurry treatment pics. Text: "Trying to find your 'before' photo be like..."

Body (3-12s): Cut to the same woman opening LumaTrack. Clean treatment timeline: dated photos, treatment labels, comparison sliders. She smiles. Text: "Or you could just use this."

Visual: Split feel: first half is messy, relatable, iPhone-shot. Second half is clean, premium app UI. Warm lighting throughout.

CTA: "See what's working. Download free."

Rationale: Phone-ception format is native to social feeds. Opens with universally relatable frustration. Contrast between chaos and order demonstrates value without explaining features.

Concept 2: "[Founder]'s $2K Confession"

Claire Priya VP2 Video 20-30s — founder talking head

Hook (0-3s): [Founder], casual setting (couch, natural light), looks at camera: "I spent $2,000 on laser treatments last year and I couldn't tell you if they worked."

Body (3-25s): "I had photos in different lighting. Notes I never looked at again. And my only metric was 'I think I look... better?' So I built an app that actually answers the question."

Visual: Natural, iPhone-quality. [Founder] in casual clothes, warm background. No studio lighting. Must feel like a real person talking.

CTA: "Stop guessing. Start tracking."

Rationale: Founder-led content outperforms brand accounts 2-3x in wellness. [Founder]'s "confession" format creates trust through vulnerability. Authority/credibility hook.

Concept 3: "14 Open Tabs"

Priya VP1 Video 15s or Carousel

Hook (0-3s): Screen recording of a phone with 14+ browser tabs open: "first time botox reddit," "best filler for cheeks," etc. Text: "When your Botox research has its own research."

Body (3-12s): Tabs close one by one. LumaTrack opens. Clean personalized recommendation: treatment, timeline, cost range, "what to expect." Text: "Or let LumaTrack do the research for you."

CTA: "Your personalized plan in 5 minutes."

Rationale: Pattern interrupt — chaotic browser tabs are a scroll-stopper. Mirrors Priya's daily reality: "saving screenshots and posts across 5 different apps."

Concept 4: "The 3-Month Text"

Megan VP2 Video 12s — UGC selfie

Hook (0-3s): iPhone text notification: "Hi! It's been 4 months since your last Botox. Time to schedule!" Woman rolls eyes. Text: "When your medspa remembers better than you do."

Body (3-10s): Opens LumaTrack: "Your Botox typically lasts 3.5 months for you. Next appointment window: this week." Taps "Book reminder." Text: "LumaTrack remembers so you don't have to."

CTA: "Never forget to rebook. Download free."

Rationale: Persona callout for Megan. Speed/ease hook. Humor of medspa text is universally relatable.

Concept 5: "Your Botox Timer"

Claire Megan VP2 Video 15s — phone-ception Priority: Week 1

Hook (0-3s): Close-up of phone showing personalized countdown: "Based on your last 4 sessions, your Botox typically wears off at week 11. You're at week 9." Text: "Your Botox has its own clock. Do you know yours?"

Body (3-12s): Pull back. Cut to LumaTrack showing duration history: Session 1: 10 weeks, Session 2: 12 weeks, Session 3: 11 weeks. Average: 11 weeks. Text: "LumaTrack learns YOUR personal pattern."

CTA: "Know your personal timing."

Rationale: Duration prediction is the #1 pain point in social listening data. "Why doesn't mine last as long?" appears in 50+ posts. This is LumaTrack's most defensible feature angle. Should be in first creative rotation.

Concept 6: "Before/After: The Right Way"

Claire Priya VP2 Carousel 5 slides

Slide 1: Two photos side by side. Left: blurry, dark bathroom selfie labeled "Your 'before' photo." Right: well-lit, structured LumaTrack capture labeled "Your before photo."

Slide 2: "Same treatment. Same face. The difference is the evidence."

Slide 3: LumaTrack timeline showing Day 0, Day 7, Day 14, Day 30 progression.

Slide 4: "In 30 days, you'll have actual proof it worked. Or proof it didn't — which is just as valuable."

Slide 5: App Store download CTA: "Start your visual timeline today."

Rationale: Before/after posts are highest-engagement content type. Carousel educates on problem and solution in swipeable format.

Concept 7: "The Group Chat Friend"

All VP1 + VP2 Video 20s — UGC multi-person

Hook (0-3s): "Every friend group has that ONE friend who knows exactly what treatment you need, when to rebook, and whether it was worth it."

Body (3-18s): Quick cuts of women asking: "When should I get my Botox redone?" / "Is $400 too much for filler?" / "Should I try laser?" / "Was your Botox worth it?" Each cuts to LumaTrack answering. Final: "LumaTrack is that friend. For everyone."

CTA: "Your knowledgeable friend. Download free."

Rationale: Mirrors brand archetype directly. Multi-persona appeal catches all three simultaneously.

Concept 8: "POV: Your Botox Journal"

Claire VP2 Video 15s — POV

Hook (0-3s): "POV: You've been tracking your Botox for 6 months and finally know your personal wear-off pattern."

Body (3-13s): First-person view of opening LumaTrack. Treatment timeline: appointments logged, duration tracked, personal notes. Shows Botox lasts 3.5 months in forehead, 2.5 months in crow's feet. "Your treatments are personal. Your tracking should be too."

CTA: "Start your treatment journal."

Rationale: POV hook — "Make the reader feel like they're part of the experience." Addresses #1 pain point: duration unpredictability.

Concept 9: "The Treatment Portfolio"

Claire VP2 Static image

Hook: Clean, Oura Ring-style data visualization. "Your treatment portfolio, visualized." Stylized app screenshot: treatment timeline, spend summary, progress comparison.

Body: "You manage your investments with a dashboard. Why not your aesthetic routine? LumaTrack tracks every treatment, shows what's working, and tells you when to rebook."

CTA: "See your results. For real."

Rationale: Metaphor/analogy hook ("like a financial advisor for your face"). Claire trusts premium design. The static format works because the image IS the value prop.

Concept 10: "First Time? Start Here."

Priya VP1 Video 20s — educational

Hook (0-3s): "Getting Botox for the first time? Here's exactly what to expect."

Body (3-18s): "Day 0: Small pinches, 10 minutes. Day 1-3: Maybe some redness. Day 7: You start to see it. Day 14: Full effect. And LumaTrack tracks it all for you."

CTA: "Track your first treatment from Day 1."

Rationale: Priya wants "a preview of the experience." Education creates trust, tracking CTA is a soft VP1→VP2 bridge. 902 posts matching "first time botox."

Concept 11: "What $30K Taught Her"

Claire VP2 Carousel 4 slides

Slide 1: "She spent $30K on treatments over 5 years."

Slide 2: "What she tracked: Nothing. What she proved: Nothing. What she'd do differently: Everything."

Slide 3: "After 6 months of tracking: her Botox lasts 3.5 months (not 4). Her best ROI: laser (not filler). She was overpaying by $200/visit."

Slide 4: "Your treatments deserve this kind of clarity." + download CTA

Rationale: References highest-engagement Reddit post (1,692 upvotes). Carousel unfolds micro-belief shifts at each swipe.

Concept 12: "The Injector Switch"

Claire VP2 Video 15s — UGC selfie

Hook (0-3s): "I switched injectors last month and the new one asked for my treatment history."

Body (3-13s): "I stared at her like..." (confused face). "So I downloaded LumaTrack. Now everything's in one place. My new injector was impressed."

CTA: "One place for every treatment."

Rationale: Provider switching is a real pain point. "Impressed injector" is social proof through trusted authority.

Concept 13: "Normalize Knowing"

All VP2 Video 12s — montage

Hook (0-3s): "Normalize..." Quick flash of different women.

Body (3-10s): "Normalize knowing how many units you get." / "Normalize tracking your results." / "Normalize comparing your own before and after." / "Normalize being smart about your face."

CTA: "Track with confidence."

Rationale: "Normalize" format is native to TikTok. Aligns with cultural transparency movement. Contrarian: challenges the norm of guessing.

Concept 14: "The Zinc Tip"

Claire Priya VP2 Video 20s — educational listicle

Hook (0-3s): "3 things that make your Botox last longer (backed by actual data)."

Body (3-18s): "1. Zinc supplements (can extend up to 30%). 2. Avoid heavy exercise for 24 hours. 3. Track your personal wear-off pattern so you know YOUR ideal rebooking window." #3 shows LumaTrack.

CTA: "Track your personal pattern."

Rationale: Listicle hook. Leads with genuinely useful info (zinc tip got high Reddit engagement). LumaTrack plug is tip #3, not the whole ad — education builds trust before the ask.

Concept 15: "Your Doctor Doesn't Track This"

Claire VP2 Static image

Hook: Split image. Left: "What your provider tracks: What they did." Right: "What you should track: Whether it worked." Center: LumaTrack logo.

Body: "Your medspa tracks their side. LumaTrack tracks yours."

CTA: "Track your side."

Rationale: This vs. That is one of the highest-performing ad structures. Names a real gap: provider EMR systems track their side, patients have nothing.

Concept 16: "90 Days of Proof"

Claire Priya VP2 Video 25s — time-lapse

Hook (0-3s): "What 90 days of tracking looks like." Photo: Day 0 face.

Body (3-22s): Smooth transition through Day 7, 14, 30, 60, 90. Each milestone shows LumaTrack screenshot alongside progress photo. Subtle improvements, not dramatic — realistic. End: "This is a LEM. Your Luma Evidence Moment."

CTA: "Create your first LEM. Download free."

Rationale: Before/after content is #1 engagement driver. This ad IS a LEM — shows the product's output as the marketing. Outcome-first: shows the result of tracking, not the act.

The Messaging Matrix

Persona (rows) x Funnel Stage (columns) x Channel (layers). VP variants included where both VP1 and VP2 apply.

Claire — Curated Connoisseur (25% of TAM)

Meta Ads (Instagram/Facebook)

Element	TOF (Awareness)	MOF (Consideration)	BOF (Conversion)
Primary Message	"You spent $8K this year on treatments. Can you prove any of them worked?"	"One timeline. Every provider. Every treatment. Every result."	"Your treatment portfolio is waiting."
Supporting Proof	"Zero apps exist for tracking treatment results across providers."	App screenshot: unified timeline, 3 providers, spend summary, comparison photos.	"Join women who stopped guessing and started tracking."
CTA	"Find out what's working"	"See your results"	"Download free"
VP1 Variant	"You've tried everything. But do you know what actually worked?"	"LumaTrack's recommendations are based on your goals and history — not your provider's inventory."	"Your personalized plan is ready."
VP2 Variant	"Six months and $2K later, you THINK you look better?"	"Track every treatment. Compare over time. Know for sure."	"Start your visual timeline today."

TikTok

Element	TOF	MOF	BOF
Primary Message	"POV: You're scrolling your Camera Roll looking for that 'before' photo from 4 months ago."	"She tracked her treatments for 6 months. Here's what she discovered about her Botox."	"Track your next treatment from Day 1."
CTA	"Stop scrolling. Start tracking."	"Know your personal pattern."	"Download free"

Google Search

Element	TOF	MOF	BOF
Primary Message	"Is Botox worth it? Track your results and find out."	"How long does YOUR Botox last? Track your personal pattern."	"Treatment tracking app — free download."
CTA	"Track your results"	"See your timeline"	"Download now"

Priya — Thoughtful Explorer (40% of TAM)

Meta Ads (Instagram/Facebook)

Element	TOF (Awareness)	MOF (Consideration)	BOF (Conversion)
Primary Message	"You've been researching Botox for 6 months. Every thread says something different. What if you had a system that helped you decide?"	"LumaTrack walks you through your goals, concerns, and budget — then recommends what actually fits. No sales pitch."	"Thousands of women used LumaTrack to confidently book their first treatment. Your plan takes 5 minutes."
Supporting Proof	"902 women posted about first-time Botox on Reddit this year."	App onboarding flow: simple questions > personalized recommendation with cost range, timeline.	"Personalized. Private. Free to start."
CTA	"Take the quiz"	"See your options"	"Get your plan free"
VP1 Variant	"Stop researching. Start deciding."	"Your first treatment, planned. Expert-backed guidance for beginners."	"Confidence starts here."
VP2 Variant	"Booking your first treatment? Future you will wish you'd captured a proper before photo."	"Log your treatment, snap structured photos, get check-in reminders."	"Start your glow story today."

TikTok

Element	TOF	MOF	BOF
Primary Message	"If you've read 200 Reddit posts about first-time Botox and STILL haven't booked, this is for you."	"Here's exactly what happens at a Botox appointment. Day 0 through Day 30."	"Your personalized treatment plan. 5 minutes. No Reddit required."
CTA	"Stop stalling. Start planning."	"Know what to expect."	"Get your free plan"

Megan — Guided Minimalist (35% of TAM)

Channel Note

Megan's messages below are for in-clinic materials and lifecycle emails only, NOT paid digital ads. Social listening data confirms Megan is near-invisible in digital channels (~10% of digitally addressable users despite 35% of SAM). All paid ad budget targets Priya and Claire. Megan is acquired exclusively through in-clinic provider referral.

In-Clinic (Primary Channel)

Element	At Reception	During Treatment	At Checkout
Primary Message	"Get the most from today's treatment. Scan to track your results."	"This treatment works best when you rebook on time. LumaTrack reminds you."	"Scan to keep track of what you got today. We'll remind you when it's time to come back."
Supporting Proof	"Your provider recommends LumaTrack."	"Personalized reminders based on YOUR treatment timing."	QR code + "Takes 2 minutes to set up."

Email / Lifecycle (Post-Clinic)

Element	Immediate (Post-Visit)	Day 3	Treatment Cycle
Primary Message	"You just had [treatment]. Here's how to capture your baseline (30 seconds)."	"Your recovery is on track. Here's what to look for at Day 7."	"Your [treatment] typically lasts [X months]. Your next window is coming up."
CTA	"Open LumaTrack"	"Check in"	"Set a reminder"

Cross-Persona Micro-Beliefs Sequential Funnel

"People don't buy in one leap. They buy in micro-beliefs." Each message in the matrix earns exactly one of these beliefs. No single asset tries to earn all six.

Belief #	Micro-Belief	Stage	Asset That Earns It
1	"This sounds like my problem."	TOF	Hook (PAS, Persona callout)
2	"This is built for women like me."	TOF	Persona-specific creative, founder story
3	"They seem credible and trustworthy."	MOF	Founder content, social proof, premium design
4	"This is different from what I've tried."	MOF	Product demo, This vs. That comparison
5	"This is easy enough to try."	BOF	"Free," "5 minutes," "No account required"
6	"This was worth it."	Post-Install	First value moment, LEM celebration

Story System — Ad Funnel Copy

Complete ad component copy by persona and VP, from the LumaTrack Story System.

Claire VP1 — "What's Right for Me?"

Component	TOF (Awareness)	MOF (Consideration)	BOF (Conversion)
Headline (25 char)	"Done guessing with your face?"	"Smarter choices, better skin."	"Your plan is ready."
Description (30 char)	"You've tried everything. Now try knowing."	"Recommendations backed by data, not hype."	"Personalized treatment + product plan."
Primary Text (125 char)	"You've spent thousands on treatments. Can you name the one that made the biggest difference? Neither could we. That's the problem."	"LumaTrack's Aesthetic Intelligence matches treatments and products to your goals, skin type, and budget. Not your provider's inventory."	"Join women who stopped guessing and started glowing with evidence. Get your personalized plan in 5 minutes."
CTA	"See what's right for you"	"Get your plan"	"Download free"

Claire VP2 — "Is It Worth It?"

Component	TOF (Awareness)	MOF (Consideration)	BOF (Conversion)
Headline (25 char)	"Was that treatment worth it?"	"See your results. For real."	"Your proof is waiting."
Description (30 char)	"Your skin changes slowly. Track it."	"Private photo tracking + smart reminders."	"Track treatments, products, and progress."
Primary Text (125 char)	"Six months and $2K later, you think you look better? You think? LumaTrack turns 'I think' into 'I know' with real progress tracking."	"Snap progress photos, log treatments, compare over time. LumaTrack remembers so you don't have to. Private, simple, actually useful."	"Women tracking with LumaTrack see their Luma Evidence Moments clearly. Start your visual timeline today."
CTA	"Find out what's working"	"Start tracking"	"Download free"

Priya VP1 — "What's Right for Me?"

Component	TOF (Awareness)	MOF (Consideration)	BOF (Conversion)
Headline (25 char)	"Stop researching. Start deciding."	"Your first treatment, planned."	"Confidence starts here."
Description (30 char)	"Reddit can't give you a skincare plan."	"Expert-backed guidance for beginners."	"Personalized. Private. Free to start."
Primary Text (125 char)	"You've been thinking about Botox for 6 months. Every thread says something different. What if you had a system that actually helped you decide?"	"LumaTrack walks you through your goals, budget, and concerns — then recommends treatments and products that actually fit. No sales pitch."	"Thousands of women used LumaTrack to confidently book their first treatment. Your personalized plan takes 5 minutes."
CTA	"Take the quiz"	"See your options"	"Get your plan free"

Priya VP2 — "Is It Worth It?"

Component	TOF (Awareness)	MOF (Consideration)	BOF (Conversion)
Headline (25 char)	"Your first treatment deserves a record."	"Track it from day one."	"Capture your baseline now."
Description (30 char)	"Don't wait to wish you had a before photo."	"Photos, check-ins, reminders. One app."	"Start your glow story today."
Primary Text (125 char)	"Booking your first treatment? Future you will wish you'd captured a proper before photo. LumaTrack makes it effortless from day one."	"Log your treatment, snap structured photos, get check-in reminders at the right intervals. See exactly how your skin responds over time."	"Start your treatment journey with a visual baseline. Track progress, learn what works, and build your Glow Evidence from the start."
CTA	"Start your story"	"Try the tracker"	"Download free"

Megan VP1 — "What's Right for Me?"

Component	TOF (Awareness)	MOF (Consideration)	BOF (Conversion)
Headline (25 char)	"Just tell me what to do."	"Your plan. No homework."	"5 minutes to your plan."
Description (30 char)	"Expert skincare guidance on autopilot."	"Treatments + products matched to you."	"Download. Answer 5 questions. Glow."
Primary Text (125 char)	"You don't have time to become a skincare expert. You just want to know what works for your face. LumaTrack is the easy button."	"Answer a few questions about your goals and LumaTrack builds your plan — treatments, products, timeline. Like a financial advisor for your face."	"Your friends asked what you did. You told them LumaTrack did the thinking. Get your personalized plan in minutes."
CTA	"Get the easy button"	"Build my plan"	"Download free"

Megan VP2 — "Is It Worth It?"

Component	TOF (Awareness)	MOF (Consideration)	BOF (Conversion)
Headline (25 char)	"Is your routine working?"	"30-second check-ins. Real results."	"Track without the effort."
Description (30 char)	"$300/month and no idea if it works."	"Reminders, photos, progress. Done."	"Your skin's ROI, visualized."
Primary Text (125 char)	"You spend $300/month on skincare and treatments. You have no idea what's working. You're not alone. But you could be informed."	"LumaTrack sends you a reminder, you snap a photo, answer two questions. Done. In 3 months, you'll have actual proof of what's working."	"Stop spending blind. Women using LumaTrack see exactly what's delivering results. Takes 30 seconds. Zero effort."
CTA	"Find out what works"	"Try the tracker"	"Download free"

14

UGC & Influencer Program

Creator program structure, persona-aligned recruitment, 10 content prompts, compensation tiers, and measurement framework

Program Philosophy

LumaTrack's UGC program recruits micro-creators who authentically document their aesthetic treatment journey using the app. This is not traditional influencer marketing. It is a creative production pipeline that generates authentic ad assets and organic content simultaneously.

Primary goal: Produce 10-15 pieces of authentic treatment-tracking content per month usable as paid creative on Meta and TikTok.

Key distinction: These creators ARE LumaTrack users. They're not "sponsored by" — they're "tracking with." The distinction matters for trust.

Launch: Month 3-4 (after Feb 23 influencer test and early product validation).

Creator Profile: Who to Recruit

28-48

Age Range

Bay Area, LA/OC, San Diego

1K-50K

Follower Count

Micro-creators, not macro-influencers

3%+

Engagement Rate

Engagement matters more than follower count

iOS

Platform Requirement

LumaTrack is iOS-only

Persona-Aligned Creator Types

Creator Type	Maps to Persona	Content Value
The Tracking Convert	Claire	"I never tracked before. Now I can't stop." Long-term journey content.
The Nervous First-Timer	Priya	"I'm finally doing it." First treatment documentation. Highest emotional resonance.
The Busy Mom	Megan	"I barely have time but this app makes it easy." Effortless tracking content.

Content Types

1

Treatment Tracking Stories (Primary)

Creator documents their actual treatment journey using LumaTrack over 30-90 days. Content arc: Day 0 ("I'm logging my treatment today"), Day 1-3 ("Here's what recovery actually looks like"), Day 7 ("First check-in"), Day 30 ("One month later — was it worth it?"). Deliverable: 4-6 short videos per creator per treatment cycle, plus raw footage for paid ads.

2

Before/After Reveals

Creator shares their LumaTrack comparison (structured before/after with metadata) as the centerpiece of a post. This is the "LEM content" — it demonstrates the product's core value. Format: Carousel (swipe to reveal) or video (dramatic pause). Always show the app.

3

App Demo / Day-in-the-Life

Quick, casual content showing LumaTrack integrated into the creator's routine. Not a tutorial — a glimpse. Examples: "Before my appointment, I always pull up LumaTrack to check when I last went." Opening the app, logging a treatment in real-time.

4

"Things I Wish I Knew" Educational

Treatment education content that naturally features LumaTrack as a tool, not the hero. Examples: "3 things I wish I knew before my first filler." "Why your Botox might not last as long as hers." The LumaTrack plug is one tip, not the whole video.

5

Founder Collab (Special)

Co-created content with [Founder]. Creator interviews [Founder] about building LumaTrack, or [Founder] walks a creator through their first tracking session. Blends authority + authenticity.

Creative Guidelines

Do

Talk about treatments naturally, like you'd tell a friend

Share honest reactions, including uncertainty

Show the app as a tool in your routine

Be specific: mention units, cost, provider, brand name

Use your natural voice and filming style

Don't

Use marketing language ("revolutionary," "game-changing")

Guarantee specific results or timelines

Make LumaTrack the ONLY thing you talk about

Be vague ("I got something done and it was great")

Try to match LumaTrack's brand aesthetic (we want YOUR aesthetic)

Brand Guardrails (Non-Negotiable)

1

Forward, not anti

Never use "anti-aging." Frame treatments as self-investment and curiosity, not fighting aging.

2

Undetectable is the goal

Appeal to subtle, natural results. Don't celebrate dramatic transformations.

3

No fear-based messaging

Don't create urgency through insecurity. "I wanted to" not "I needed to."

4

Evidence over hype

Share what actually happened. If results were underwhelming, that's valuable content too.

5

No medical claims

Don't say "Botox prevents wrinkles." Say "I noticed a difference in my forehead lines."

6

No provider bashing

Don't compare providers negatively. Positive recommendations only.

Compensation Model

Tier	Followers	Compensation	Requirements
Tier 1: Product Exchange	1K-5K	Free premium features, featured on LumaTrack channels, early access to new features	2-3 content pieces/month, raw footage rights
Tier 2: Flat Fee + Product	5K-25K	$200-400 per content piece + free premium + featured placement	3-4 pieces/month, raw footage rights, 30-day exclusivity on paid use
Tier 3: Performance-Based	25K-50K	$300-500 base per piece + $50-100 bonus per 1,000 tracked installs (UTM)	4-6 pieces/month, raw footage rights, 60-day paid use rights

Whitelisting Agreement

All creators must agree to whitelisted ads run from their account. This is critical — whitelisted UGC ads outperform brand-account ads significantly. The ad appears to come from the creator, not LumaTrack, which builds trust.

10 Specific Content Prompts

1

"My Treatment Day"

Film yourself before, during (waiting room), and after your treatment. Show logging it in LumaTrack. Caption: "Tracking from Day 0 this time."

2

"The Before Photo I Actually Kept"

Show your Camera Roll chaos vs. your LumaTrack structured photo. Caption: "This is why I track now."

3

"Was It Worth It? — 30 Day Check-In"

Open LumaTrack, show your before/after comparison at 30 days. Be honest. Caption: "The data doesn't lie."

4

"3 Things My Injector Never Told Me"

Educational content about treatment maintenance (zinc tip, rebooking timing, personal wear-off patterns). Mention LumaTrack tracking as one of the three.

5

"Switching Providers? Here's What I Bring"

Show opening LumaTrack and showing your treatment history to a new provider. Caption: "Finally walked into a new medspa and actually knew my history."

6

"The $[X] Question"

Reveal how much you've spent this year. Show LumaTrack tracking. Ask: "Can I prove any of it worked?" Then show your LEMs. Caption: "Now I can."

7

"First Time [Treatment] — Tracking the Whole Thing"

Document your first experience with a new treatment type, start to finish. Caption: "If I'm doing this, I'm tracking it properly."

8

"The Notification That Actually Helps"

Screen record receiving a LumaTrack reminder notification. Show how it prompted you to rebook. Caption: "The only notification I don't swipe away."

9

"What 6 Months of Tracking Taught Me"

Longer-form content summarizing your journey. Share surprises (one treatment wasn't worth it, personal Botox duration is shorter). Caption: "Evidence > opinions."

10

"My Treatment Plan for [Season/Year]"

Show your LumaTrack timeline and plan for next quarter. What you're rebooking, skipping, trying new. Caption: "Data-driven beauty decisions."

Content Calendar & Seasonal Themes

Monthly Cadence per Creator

Week	Content Theme	Format	VP Alignment
1	Treatment appointment documentation	Video (day-of story)	VP2
2	Recovery/check-in update	Video or carousel (Day 3-7)	VP2
3	Education or "things I learned"	Video or carousel	VP1
4	Before/after reveal or app demo	Video (LEM reveal) or Reel	VP2

Seasonal Themes

Month	Theme	Content Direction
March	Spring renewal	"Starting fresh this spring. Here's my plan."
April	Pre-summer prep	"Getting summer-ready. Tracking from Day 1."
May	Mother's Day	"Treating myself for Mother's Day. Finally tracking it."
June	Wedding season	"Wedding prep treatments — tracking every step."
Sep-Oct	Fall skin repair	"Post-summer skin repair. Here's what I'm trying."
Nov-Dec	Holiday + New Year	"My treatment plan for next year. Here's what worked."

Distribution & Measurement

Distribution

Organic: Creator posts to own channels, tags @lumatrack, uses #TrackWithGlow

Paid (Whitelisted): Top organic UGC whitelisted for paid distribution from creator's account

LumaTrack Integration: Best content repurposed for brand Reels and Stories, journey series in Highlights

Attribution

Each creator gets: unique UTM link, unique promo code, unique QR code for events, AppsFlyer deep link

Engagement Benchmarks

Engagement rate (organic) 3%+ per post Platform analytics

Video completion rate 40%+ Platform analytics

Saves + shares 2%+ of impressions Platform analytics

Attributed installs per creator 5-20/month UTM-tracked links

Content pieces produced 3-4/creator/month Internal tracking

Scaling Criteria

Scale Level	Criteria
Creator: Tier 1 → Tier 2	Engagement rate consistently above 4%. At least 5 attributed installs per content piece. Content quality meets paid ad standards (used in 2+ whitelisted campaigns). Brand guardrail compliance consistent.
Program: Overall scale	3+ creators producing at Tier 2 level. UGC whitelisted ads achieve CPI within 20% of best brand ads. LEM contribution rate from UGC-attributed installs exceeds paid social average.

15

Onboarding & Activation Playbook

Diagnosing and fixing the [X]% onboarding drop-off, reducing LEM friction, and building milestone-based lifecycle flows

The Problem

[X]% onboarding drop-off. D1 retention [X]%. D7 retention [Y]%. Re-engagement effectively zero. North Star Metric: LEM Contribution Rate -- users who track progress 1-2 times post-treatment.

Onboarding drop-off funnel showing where and why [X]% of users abandon before completing setup

The [X]% Drop-Off: Diagnosis

Based on the funnel audit framework and behavioral patterns from social listening data, four hypotheses explain where and why users abandon onboarding:

1

Selfie Capture Friction

The onboarding flow asks for a baseline selfie before delivering any value. Megan-type users ("If this requires a lot of input from me, I'm out") and Priya-type users (anxious about committing their face to an app they don't trust yet) both have strong reasons to bail here. The selfie is a high-commitment ask before any value demonstration.

So What: Make the selfie optional -- surface it as "capture your baseline now or later" instead of gating progress on it.

2

Quiz Length

If onboarding asks more than 5-6 questions before showing a recommendation, cognitive load exceeds the user's patience. Social listening confirms: women in this demo want "just tell me what to do" (Megan) or "walk me through everything" (Priya) -- not a form to fill out.

So What: Split the commitment: ask 3 questions, show value, then ask 3 more. Never front-load 8 questions before any payoff.

3

Account Creation Wall

Requiring email, password, or social sign-in before showing value violates the Territory Framework's Filter stage. Users need to pass a gut-check ("is this worth my effort right now?") before committing identity.

So What: Show a personalized recommendation or treatment timeline BEFORE asking for account creation. "Forced account creation is a brick wall for anyone who just wants to browse."

4

Value Not Visible Fast Enough

The app's first screen may explain features rather than demonstrate value. "Your biggest growth opportunity isn't getting more users, it's activating the ones you already have. A 10% improvement in activation often has more impact than a 50% improvement in signups."

So What: Use Amplitude session replays to identify the exact screen with highest drop-off. Cross-reference with the VP that drove the install.

Territory Framework: Filter, Commit, Return

Stage 1: FILTER (First 3 Seconds)

User's brain asks: "What is this? Is this for me?"

Current risk: If the first screen shows a generic beauty app layout, the user's brain files it as "another skincare app" and bounces. LumaTrack must immediately break this pattern.

Recommendations:

First screen should state the outcome, not the product: "Finally know if your treatments are actually working" (VP2) or "Your personalized treatment plan in 5 minutes" (VP1)
Show the category anchor immediately: "Like a Fitbit for your skin treatments" or "The beauty app your injector wishes existed"
Use social proof on the first screen: "Joined by [N]+ women tracking their aesthetic journey" (even small numbers with specificity beat no numbers)
Keep Layer 1 (nav, layout, buttons) boringly conventional. Premium design signals quality. Innovation should be in the message, not the UI structure.

Stage 2: COMMIT (Onboarding Flow)

User's brain asks: "Is this worth my effort right now?"

Current risk: The onboarding flow asks for too many inputs before demonstrating value. Every question, every toggle, every photo request is a "should I keep going?" decision point.

Recommendations:

Deliver first value within 3 minutes of opening the app ("Target 3-15 minutes" for immediate-value products)
Make the selfie optional -- surface it as "capture your baseline now or later" instead of gating progress on it
Use valid defaults: pre-select the most common treatment type (Botox), pre-populate likely concerns
Show a personalized recommendation or treatment timeline BEFORE asking for account creation
Split the commitment: ask 3 questions, show value, then ask 3 more. Never front-load 8 questions before any payoff.

Stage 3: RETURN (Post-Onboarding)

User's brain asks: "Will I come back?"

Current risk: After onboarding, there's no clear next action. Users see a dashboard with nothing in it. The empty state is a dead end.

Recommendations:

End onboarding with a specific CTA tied to their treatment status: "Got a treatment coming up? Set a reminder" or "Just had Botox? Capture your baseline in 30 seconds"
Show what their populated dashboard WILL look like (sample data, preview of a timeline with LEMs) -- "fill in your dashboards with sample data"
Send the first lifecycle email (Flow 2, E1) immediately after install. The first follow-up email should arrive while the user still remembers downloading the app.
Create a "peak" moment at the end of onboarding: "You're all set. We'll remind you when it's time for your next treatment" -- resolution, not more work.

The 3-Tap Test

Can a new user reach their first moment of value in 3 taps or fewer?

VP1 path: Open app > Answer 3 questions > See personalized recommendation (PASS: 3 taps)

VP2 path: Open app > Tap "Just had a treatment?" > Take photo (PASS: 3 taps if we surface this prompt)

Current path: Open app > Create account > Answer quiz > Upload selfie > See dashboard (FAIL: 5+ steps before value)

Zero-Education Onboarding Design

Principle: No Tours, No Explainers. Onboarding should be about achieving value, not learning features. "When most founders hear 'onboarding,' they think: Welcome emails, Product tours, Setup wizards, Feature walkthroughs. There's more to it than that."

For LumaTrack, this means:

No "tap here to learn about LEMs" tooltips. Users don't care what a LEM is until they've created one.
No feature walkthrough on first open. Show the app doing something useful instead.
No terminology education. Don't teach "Aesthetic Intelligence" -- just show a recommendation. Don't explain "Luma Evidence Moments" -- just prompt "Take a quick photo to start tracking."
Labels should be action verbs, not feature names: "Track a treatment" not "Treatment Log." "Compare your progress" not "LEM Dashboard."

VP1 vs VP2 Onboarding Paths

VP1 Path: "What's Right for Me?" (Priya + Megan)

These users downloaded because they want guidance. They may not have had a treatment yet.

Flow:

"What's your top skin concern?" (single select, 4 options max)
"Have you had aesthetic treatments before?" (Yes/No -- determines depth)
"What's your comfort level?" (Conservative / Open to trying new things)
VALUE: Show personalized recommendation with treatment name, expected timeline, cost range, "what to expect"
Optional: "Want to save this plan? Create a free account"
Bridge to VP2: "When you book your first treatment, we'll help you track how it goes"

Time to first value: ~2 minutes
Account creation: After value, not before

VP2 Path: "Is It Worth It?" (Claire + post-treatment Priya)

These users downloaded because they want to track results. They likely just had or are about to have a treatment.

Flow:

"What treatment did you just have?" (pre-populated list: Botox, Filler, Laser, Other)
"When was your appointment?" (date picker, defaulted to today)
VALUE: Show personalized treatment timeline -- "Here's what to expect at Day 1, Day 7, Day 14, Day 30"
"Want to capture your baseline? Snap a quick photo" (optional, not required)
"We'll check in at Day 7 to see how you're feeling"

Time to first value: ~90 seconds
Photo capture: Optional prompt, not a gate

LEM Creation Friction Reduction

Current Friction Points (Estimated)

User must navigate to the tracking section (requires knowing it exists)
User must select the treatment type
User must take a photo with specific framing
User must add metadata (date, provider, units, cost)
User must wait days/weeks to take a comparison photo
User must return to the app and find the comparison feature

Target: Reduce LEM creation from 6 steps to 2

Step 1: Get push notification > Tap to open camera (before photo pre-loaded)

Step 2: Take photo > See instant comparison (LEM created)

Friction Reduction Recommendations

Make the first step invisible: After a treatment is logged, surface a "Take a quick photo" prompt with one tap. Pre-fill treatment type, date, and provider from the log. Use structured photo capture with on-screen guides (face outline, lighting indicator) but make them optional -- a quick selfie with no metadata is better than no photo at all.

Make the return automatic: At the treatment-appropriate interval (Day 7 for Botox, Day 14 for filler), send a push notification: "Time to check in. Quick photo?" One tap opens the camera with the comparison overlay already loaded. Show the before photo side-by-side with the live camera view so the user can see progress in real-time during capture.

Make the celebration immediate: The moment a comparison is captured, show the before/after with a "Your first Luma Evidence Moment" message. Make it shareable in one tap.

Milestone-Based Triggers (Not Time-Based)

Replace time-based lifecycle emails with milestone-based triggers. Users don't progress on a clock -- they progress on actions.

Milestone	Trigger	Action
M1: First value seen	VP1: recommendation displayed / VP2: timeline shown	In-app: "Your plan is ready" confirmation
M2: Baseline captured	User takes first photo	Push: "Great start. We'll remind you to compare at Day 7"
M3: Treatment logged	User logs a treatment	Email: "Your treatment timeline is live. Here's what to watch for"
M4: First check-in	User opens app 3-7 days post-treatment	In-app: "How's your recovery going? Quick 2-question check-in"
M5: First LEM	User captures comparison photo or logs progress	Email: LEM Celebration (Lifecycle v1, Trigger T3)

Why Milestone > Time-Based

A "Day 3" email makes no sense if the user hasn't logged a treatment yet. A "Day 7" email about checking results is meaningless if there are no results to check. Milestone triggers fire when the user is ready for the next step -- not when an arbitrary timer expires.

Exception: Stall recovery. If a user reaches M1 but not M2 within 48 hours, fire the stall recovery trigger. This is the one time-based trigger that's warranted.

D1 and D7 Retention Tactics

D1 Retention (Target: 25%)
Tactic	Channel	Description
Immediate value delivery	In-app	Show recommendation (VP1) or timeline (VP2) before session ends
First-day nudge	Push (4h)	"Your personalized plan is ready -- see what we recommended"
Treatment reminder setup	In-app	"When's your next treatment? We'll remind you" (creates a reason to return)
Welcome email	Email (immediate)	Lifecycle v1 Flow 2 E1: warm welcome + single CTA to complete one action

D7 Retention (Target: 15%)
Tactic	Channel	Description
Check-in prompt	Push	"It's been a week. How are your results looking?" (VP2 users)
New recommendation	Push	"We found a treatment that matches your goals" (VP1 users)
Feature discovery email	Email	Lifecycle v1 Flow 2 E3: show one feature they haven't used
Content nudge	Push	Link to a relevant Substack post or treatment guide

Stall Recovery Playbook

Stall Point	Detection	Recovery Action	Channel
Installed, never onboarded	`app_installed` + 48h, no `onboarding_completed`	"Finish setup in 2 minutes. Your plan is waiting."	Push + Email
Onboarded, no baseline	`onboarding_completed` + 72h, no `baseline_photo_uploaded`	"You don't need a perfect photo. A quick selfie works."	Push
Baseline captured, no treatment logged	`baseline_photo_uploaded` + 7d, no `treatment_logged`	"Treatment coming up? We'll help you track results."	Email
Treatment logged, no return	`treatment_logged` + 14d, no `app_opened`	"Your [treatment] results should be settling in. Time to check in?"	Push + Email
Churned 30+ days	Last `app_opened` > 30d	"Spring treatment season is here. Your tracking is waiting for you."	Email only

Stall Recovery Principles

One recovery attempt per stall point. Do not spam dormant users.
Each message focuses on removing the specific friction at that stage, not re-pitching the whole app.
Tone: helpful friend, not nagging app. "Just a reminder" not "You haven't logged in!"
Max 2 push notifications per week across all triggers.
If a user doesn't respond to recovery within 7 days, move to a 30-day quiet period. Respect the "no."

Lifecycle v1 Integration

This Playbook	Lifecycle v1
Reduces onboarding drop-off (from [X]% to <15%)	Flow 2 catches users who installed but haven't activated
Creates VP-specific onboarding paths	Flow 2 emails can be segmented by VP cohort
Establishes milestone triggers	Support Triggers T1-T3 fire on milestone events
Reduces LEM friction	Trigger T3 (LEM Celebration) fires more often

Key Dependency

Lifecycle v1's identity stitching (web signup > app install) must work reliably. If the email from Flow 1 prompts a download, and the app fires app_installed with the user's email, Customer.io merges the profiles. Without this, the entire lifecycle sequence breaks.

Onboarding Metrics to Track

Metric	Current (est.)	Day 30 Target	Day 90 Target
Onboarding completion rate	[X]%	85%	90%
Time to first value	Unknown	<3 minutes	<2 minutes
D1 retention	[X]%	25%	30%
D7 retention	[Y]%	15%	20%
LEM contribution rate	Near 0%	5%	10-15%
Stall recovery success rate	N/A	15%	25%
VP1-to-VP2 bridge rate	Unknown	Establish baseline	20%+

A/B Tests to Run

Test	Variants	Success Metric	Timeline
Welcome screen framing	VP1 ("Find what's right") vs VP2 ("Start tracking")	Onboarding completion rate	Days 7-21
Selfie requirement	Required vs Optional vs Skip	Onboarding completion + D7 retention	Days 7-21
Value-first onboarding	Show recommendation before account creation vs after	Onboarding completion + D1 retention	Days 14-28
Empty state design	Blank dashboard vs Sample data preview	D1 retention	Days 14-28

16

30/60/90 Day Execution Plan

70 action items across 7 workstreams with owners, timelines, checkpoints, and go/no-go decisions

Three-phase execution roadmap: Fix the Foundation (Days 1-30), Test & Learn (Days 31-60), Double Down (Days 61-90)

70

Total Action Items

Across 7 workstreams over 90 days

3

Phases

Fix, Test, Double Down

LEM Rate

North Star Metric

Users who track progress 1-2 times post-treatment

Phase 1: Days 1-30 -- "Fix the Foundation"

Theme

Stop the leaky bucket before pouring more water in. Fix onboarding, establish baseline metrics, set up lifecycle infrastructure, and prepare creative assets. No scaling spend until the funnel works.

1.1 Audit & Instrumentation (Days 1-7)

Goal: Understand exactly where and why users drop off. Establish measurement infrastructure.

1

Full funnel audit

Map every step from ad impression > install > onboarding start > onboarding complete > first action > first LEM. Identify exact drop-off percentages at each step using Amplitude data.

Owner: Paid Lead + Eng Lead Day 3

2

Cohort analysis of January users

Segment the [N] users by: acquisition source (paid VP1 vs VP2 vs organic), onboarding completion status, first action taken, treatment status (active vs between treatments), geographic location. Find patterns in who engaged vs. who bounced.

Owner: Paid Lead + Eng Lead Day 5

3

Define LEM tracking events

Ensure Amplitude is tracking every step toward a LEM: baseline photo captured, treatment logged, check-in started, check-in completed, before/after comparison viewed. If any events are missing, work with engineering to add.

Owner: Eng Lead Day 5

4

Establish baseline KPIs

Document current state for all metrics we'll track going forward: onboarding completion rate, D1/D7 retention, product/treatment/photo actions, LEM contribution, re-engagement rate, CPI, cost per completed onboarding.

Owner: Content Lead + Paid Lead Day 7

1.2 Onboarding Optimization (Days 3-14)

Goal: Reduce [X]% onboarding drop-off to <15%. Every user who doesn't complete onboarding is invisible to us.

5

Onboarding drop-off analysis

Identify exactly which screen(s) in onboarding have the highest abandonment. Is it the selfie capture? The quiz length? Account creation friction? Use Amplitude session replays if available.

Owner: Paid Lead + Eng Lead Day 5

6

Launch incomplete onboarding email sequence

Set up in Customer.io: Email 1 at 1 hour ("You're almost there -- finish your profile in 2 minutes"), Email 2 at 24 hours ("Your personalized plan is waiting"), Email 3 at 72 hours (re-pitch value prop that drove their install).

Owner: Growth Lead + Eng Lead Day 7

7

Onboarding push notifications

For users who have notifications enabled, send a push at 4 hours and 24 hours post-install if onboarding is incomplete. Warm, helpful tone -- not nagging.

Owner: Eng Lead (engineering) Day 10

8

Recommend onboarding simplification to product team

Based on drop-off analysis, recommend specific changes: reduce steps, make selfie optional, show value (first recommendation) faster. Goal: deliver first personalized recommendation within 3 minutes of opening app.

Owner: Content Lead + Eng Lead Day 10

9

A/B test onboarding welcome screen

Test VP1-framed onboarding ("Let's find what's right for you") vs VP2-framed ("Start tracking your results"). See which framing leads to higher completion AND downstream engagement.

Owner: Eng Lead Day 14

1.3 Lifecycle & Re-engagement Infrastructure (Days 5-21)

Goal: Break the zero re-engagement rate. Build the email/push system that brings users back at the right moments.

10

Map lifecycle email journey

Design the full post-onboarding email sequence by user state. Not one-size-fits-all -- different paths for users who completed onboarding but took no action, users who added a product but didn't track, users who logged a treatment but didn't do a check-in.

Owner: Growth Lead Day 10

11

Build "Feature Discovery" email series

Many users may not know what the app does. 4-email series over 14 days post-onboarding: (1) "Here's your personalized plan" (VP1), (2) "How to track your first treatment" (VP2), (3) "Set a reminder so you never forget to rebook" (utility), (4) "See how LumaTrack works for [persona-relevant use case]".

Owner: Growth Lead Day 14

12

"Treatment coming up?" re-engagement trigger

If user logged a treatment type during onboarding that has a known rebooking cycle (Botox = 3-4 months, filler = 6-12 months), calculate approximate next treatment date and send a re-engagement email/push 1 week before: "Your next [treatment] might be coming up -- open LumaTrack to track it."

Owner: Growth Lead + Eng Lead Day 18

13

Win-back campaign for January churned users

The [N] January users who never came back. Test two win-back emails: (a) VP1 angle: "We've improved your recommendations -- come see what's new," (b) VP2 angle: "Have a treatment coming up? Capture your baseline now." Measure which brings more users back and which VP those returning users engage with.

Owner: Growth Lead Day 14

14

Push notification strategy

Define cadence rules: max 2 pushes per week, never at night, only when triggered by a meaningful event (treatment reminder, check-in due, new recommendation). No "we miss you" pushes -- only useful, timely nudges.

Owner: Growth Lead + [Founder] Day 12

1.4 Paid Media -- Restructure & Learn (Days 1-30)

Goal: Restructure campaigns for clean VP1 vs VP2 testing with hyperlocal targeting. Generate learnings, not volume.

15

Audit January campaigns

Review all January creative, targeting, and results. Which ads drove installs? Which drove onboarding completions? Any signal on which VP or creative type led to users who actually engaged beyond onboarding?

Owner: Paid Lead Day 5

16

Restructure Meta campaigns

Clean VP1 vs VP2 split: separate campaigns, separate ad sets, separate creative. Each VP gets its own budget. Within each VP, test 2-3 creative concepts. Hyperlocal targeting: Bay Area, LA/Orange County, San Diego.

Owner: Paid Lead Day 10

17

Creative production: Round 1

Cut 4-6 creative assets from existing Frame.io footage (in-clinic treatment videos with photo consent). 2-3 for VP1 (decision-making angle), 2-3 for VP2 (tracking/results angle). Formats: 9:16 Reels, 1:1 feed. Use brand voice -- warm, evidence-based, not clinical.

Owner: Content Lead + Growth Lead Day 12

18

Whitelisting test: [Founder]'s personal account

Run 1-2 ads from [Founder]'s personal Instagram/Facebook account (founder-led creative). Test: (a) [Founder] talking to camera about why she built LumaTrack, (b) [Founder] showing the app / demonstrating tracking. Founder content typically outperforms brand accounts in wellness.

Owner: Paid Lead + [Founder] Day 14

19

Google Ads pilot

Smaller allocation alongside Meta. Test VP1 keywords ("best treatment for [concern]", "what aesthetic treatment should I get") vs VP2 keywords ("track aesthetic treatment results", "is Botox worth it"). Expect lower volume but potentially higher intent.

Owner: Paid Lead Day 14

20

Weekly performance reporting

Establish weekly report cadence: spend, CPI, installs, onboarding completions, cost per completed onboarding, D1/D7 retention by cohort. Share every Monday in Slack.

Owner: Paid Lead Day 7 then weekly

1.5 In-Clinic B2B2C Setup (Days 1-30)

Goal: Prepare the in-clinic acquisition channel. This is the highest-potential channel because it acquires users at the moment of treatment (solves timing mismatch).

21

Finalize in-clinic materials

Review and refine QR code table tents, take-home cards, and staff scripts. Test both versions: Version A ("LumaTrack helps you track and get the most out of this plan") vs Version B ("LumaTrack helps us follow and extend your plan based on your results").

Owner: Content Lead + [Founder] Day 10

22

Staff training one-pager

Create a simple script for front desk / aestheticians at partner medspas. When to mention LumaTrack, what to say, how to handle questions. 30 seconds max -- they're busy.

Owner: Content Lead Day 12

23

Feb 23 activation day plan

Detailed plan for Illuminate Skin (San Jose) in-clinic day. Influencer appointment + new user acquisition. Who's there, what materials, how we track attribution (unique QR code / UTM), what data we capture, follow-up plan for users acquired that day.

Owner: Content Lead + [Founder] Day 15

24

In-clinic tracking setup

Create unique UTM-tagged links or separate QR codes per location so we can attribute in-clinic installs in AppsFlyer/Amplitude. Even if SKAN limits user-level data, we can see aggregate installs from each clinic QR code.

Owner: Paid Lead + Eng Lead Day 15

25

Deploy materials to 4 partner locations

Deliver materials to existing partner medspas in Bay Area, LA, San Diego. Confirm placement (front desk, treatment rooms, checkout area).

Owner: [Founder] Day 20

1.6 Organic Social & Founder Content (Days 1-30)

Goal: Establish consistent social presence. Begin building the email list via Substack. Create content bank for paid creative testing.

26

Instagram audit & content calendar

Audit current Instagram feed. Define posting cadence (3-4x/week minimum). Create 30-day content calendar mixing: treatment education (VP1), tracking stories (VP2), founder voice ([Founder]), user tips, and behind-the-scenes.

Owner: Content Lead + Growth Lead Day 7

27

First 12 Instagram posts

Produce and schedule first two weeks of content. Use Frame.io footage, app screenshots, treatment education carousels, and quote graphics. Every post should subtly reinforce either VP1 or VP2.

Owner: Content Lead + Growth Lead Day 14

28

[Founder] Substack post #3

Publish third "[Brand Newsletter]" Substack post. Topic suggestion: the "timing problem" in aesthetics (why you forget to rebook, why progress is invisible, why LumaTrack exists). Include CTA to download app.

Owner: [Founder] (with Content Lead support) Day 21

29

[Founder] LinkedIn post cadence

Begin posting 1-2x/week on LinkedIn. Founder thought leadership: building in beauty tech, evidence-based beauty, the data gap in aesthetics. Target: professional women ICP who are on LinkedIn.

Owner: [Founder] (with Content Lead drafts) Day 30

30

TikTok exploration

Film 3-4 short TikTok-style videos using in-clinic footage. Treatment education, "things I wish I knew before my first [treatment]", "how I track my treatments." Test organic reach before investing in paid TikTok.

Owner: Content Lead Day 21

Day 30 Checkpoint

Questions to answer:

What is the actual onboarding completion rate now vs. baseline? Did our changes help?
What does the re-engagement rate look like with the new lifecycle emails?
Which VP (1 or 2) is driving more installs AND more downstream engagement? Are they different?
Do we have ANY LEMs from January or February users? If so, what do those users have in common?
What is the cost per completed onboarding by channel/VP?
Are in-clinic materials deployed and generating any installs?

Go/No-Go Decisions:

If onboarding completion is improving --> continue optimizing, prepare to increase spend in Phase 2
If onboarding completion is NOT improving --> escalate to product team, do NOT increase spend
If one VP is clearly outperforming --> shift creative weight toward winning VP
If in-clinic installs are happening --> plan more activation days in Phase 2

Phase 2: Days 31-60 -- "Test & Learn"

Theme

Now that the funnel basics work, run structured experiments. Test VP1 vs VP2 at scale. Execute the Feb 23 in-clinic activation. Launch email lead magnet. Begin answering the critical question: is low engagement a GTM problem or a product problem?

2.1 The Critical Diagnostic (Days 31-45)

Goal: Answer the single most important question -- are we acquiring the wrong users, or is the product not delivering enough value?

31

In-clinic vs Paid Social cohort comparison

Compare the two cohorts on: onboarding completion, first action, D7 retention, LEM contribution. If in-clinic users engage significantly more --> it's a GTM/targeting problem (paid is bringing wrong users). If neither cohort engages --> it's likely a product problem.

Owner: Paid Lead + Eng Lead Day 40

32

VP1 vs VP2 cohort comparison

Compare users acquired via VP1 creative vs VP2 creative on the same downstream metrics. Which value prop attracts users who actually do things in the app? This tells us which messaging to double down on.

Owner: Paid Lead Day 40

33

Qualitative user interviews (5-8 users)

Recruit from recent installs. Talk to: (a) 2-3 users who completed onboarding but didn't engage further (why?), (b) 2-3 users who are actively using the app (what's working?), (c) 1-2 users who started tracking (what motivated them?). Record with consent.

Owner: Content Lead + [Founder] Day 45

34

Product feedback synthesis

Combine quantitative cohort data with qualitative interview insights. Present a clear recommendation: here's what we think is happening and here's what should change (product, messaging, or both).

Owner: Content Lead Day 45

2.2 In-Clinic Activation (Days 31-50)

Goal: Execute Feb 23 activation day. Plan and execute 2-3 more activation days at other partner locations. Prove the in-clinic flywheel.

35

Execute Feb 23 Illuminate Skin activation

Full activation day: influencer appointment, QR codes, staff engagement, content capture. Track every install from that day. Follow up with every user acquired within 48 hours via email.

Owner: Content Lead + [Founder] Day ~21 (Feb 23)

36

Feb 23 post-mortem

How many installs? How many completed onboarding? Any LEMs? What worked about staff engagement? What didn't? What would we change? Influencer content quality assessment.

Owner: Content Lead Day 35

37

Schedule 2-3 more activation days

Based on Feb 23 learnings, plan activation days at LA and San Diego partner locations. Refine the playbook: what materials, what staff training, what follow-up sequence.

Owner: Content Lead + [Founder] Day 40

38

In-clinic user follow-up sequence

Special Customer.io segment for users acquired in-clinic. Different from paid social users because they just had a treatment and have something to track RIGHT NOW. Email 1 (same day): "You just had [treatment] -- here's how to capture your baseline." Email 2 (Day 3): "Your recovery timeline and what to look for." Email 3 (Day 7): "Time for your first check-in." Email 4 (Day 30): "Compare your before/after -- your first LEM."

Owner: Growth Lead Day 38

2.3 Paid Media -- Optimize & Expand (Days 31-60)

Goal: Double down on winning creative/VP/audience combinations. Kill what's not working. Begin testing new formats.

39

Creative refresh: Round 2

Based on Month 1 learnings, produce 4-6 new creatives. Test: (a) UGC-style "day in my treatment" content, (b) Problem-agitation hooks, (c) App demo walkthroughs, (d) Founder story ([Founder] to camera). Kill any Month 1 creatives with CTR below benchmark.

Owner: Content Lead + Paid Lead Day 38

40

Audience expansion testing

Beyond core targeting, test: (a) Lookalike audiences based on onboarding completers (via Customer.io > Meta), (b) Interest-based: Sephora, medical aesthetics, skincare routine, (c) Behavioral: health app users, beauty app users. Small budgets to find new pockets.

Owner: Paid Lead Day 50

41

Retargeting campaigns

Set up retargeting for: (a) Users who visited lumatrack.com but didn't download, (b) Users who installed but didn't complete onboarding (if possible via SKAN limitations), (c) Instagram/TikTok engagers who haven't installed.

Owner: Paid Lead Day 40

42

Influencer content integration

If Feb 23 influencer content is compelling, use it as paid creative (with permission). Whitelisting from influencer account. Also test as organic post on LumaTrack channels.

Owner: Paid Lead + Content Lead Day 42

43

Budget reallocation based on learnings

If one VP is clearly winning, shift budget 70/30 (from 50/50). If one geo is outperforming, increase spend there. If Google is underperforming vs Meta, reallocate.

Owner: Paid Lead Day 45

2.4 Email Lead Magnet Launch (Days 35-55)

Goal: Begin capturing emails from people who aren't ready to download but are in the LumaTrack target market. Solves the timing mismatch by maintaining the relationship until they have a treatment to track.

44

Design lead magnet content

Create a high-value downloadable: "The Smart Woman's Guide to [Treatment Category]" (e.g., injectables, lasers, or skincare). Evidence-based, beautifully designed, LumaTrack-branded. 8-10 pages. Include a soft CTA to download the app.

Owner: Content Lead + Growth Lead Day 40

45

Build landing page

Simple landing page on lumatrack.com for the lead magnet. Email capture form. Clean, on-brand. Mobile-optimized (most traffic will be mobile).

Owner: Eng Lead (engineering) or no-code Day 42

46

Meta lead gen campaign

Run lead gen ads targeting the same audiences as app install campaigns. Lower commitment ask (email vs download). Test: does this attract a broader audience that eventually converts to downloads?

Owner: Paid Lead Day 45

47

Email nurture sequence for leads

6-email sequence over 30 days. (1) Deliver the guide, (2) "What questions do you have?" invite reply, (3) Treatment education content, (4) "[Founder]'s story" founder angle, (5) "Tracking your first treatment" VP2 angle + app CTA, (6) "Your personalized plan is waiting" VP1 angle + app CTA.

Owner: Growth Lead Day 50

2.5 Organic Social -- Scale & Systematize (Days 31-60)

Goal: Increase posting frequency, begin building UGC pipeline, systematize content production.

48

Increase IG cadence to 5-6x/week

Add Reels (2-3x/week) alongside feed posts. Reels from in-clinic footage, app demos, treatment education. Instagram algorithm favors Reels -- this is the growth lever.

Owner: Content Lead + Growth Lead Day 35

49

UGC content collection

Reach out to 5-10 engaged users (if any) and ask if they'd create short testimonial videos or treatment tracking stories. Offer free premium features (when available) or gift cards. Even 2-3 pieces of authentic UGC is gold.

Owner: Content Lead Day 50

50

[Founder] Substack post #4

Continue biweekly cadence. Topic: a deep-dive on a specific treatment with personal experience (follows "The Appeal of the Peel" format). Build the "[Brand Newsletter]" brand.

Owner: [Founder] Day 45

51

Cross-promote Substack <> Instagram <> App

Each Substack post gets teased on IG Stories. Each IG Reel gets mentioned in Substack. Both drive to app. Create a connected ecosystem, not isolated channels.

Owner: Content Lead Day 40

Day 60 Checkpoint -- The Critical Decision Point

The Diagnostic Question (must answer): Is the low engagement a GTM problem (we're acquiring the wrong users with the wrong expectations) or a product problem (the experience doesn't deliver enough value fast enough)?

Signal	Interpretation
In-clinic users engage significantly more than paid social users	GTM problem -- paid ads are bringing wrong people. Fix targeting/messaging.
In-clinic users also don't engage	Product problem -- even highest-intent users aren't finding value. Escalate to product.
VP2 users engage more than VP1 users	Tracking resonates more than recommendations. Shift messaging.
VP1 users engage more than VP2 users	Recommendations drive engagement. Consider making VP1 the primary pitch.
Users who received lifecycle emails retain better	Lifecycle working -- invest more in email/push.
No difference between any cohorts	Deeper product investigation needed. Possibly too early/too few users for signal.

Go/No-Go Decisions for Phase 3

Increase paid spend? Only if cost per LEM-contributing user is trending in a fundable direction
Scale in-clinic? If in-clinic cohort outperforms paid, aggressively expand clinic partnerships
Product escalation? If product problem identified, pause paid growth and redirect budget to product improvements
Email lead magnet working? If lead-to-download conversion is promising, scale lead gen budget

Phase 3: Days 61-90 -- "Double Down"

Theme

We should now know what works. Phase 3 is about doubling down on the winning motions, cutting what doesn't work, and building toward the investor narrative of "1-2 repeatable, measurable GTM motions that produce LEM-contributing users."

3.1 Scale Winning Acquisition Channel (Days 61-75)

52

Scale the winner

Whichever channel/VP/audience combination produced the best cost-per-LEM, scale spend significantly. If in-clinic is winning, add 3-5 new partner locations. If paid VP2 is winning, increase VP2 budget with proven creative.

Owner: Paid Lead + Content Lead Day 65

53

Kill the losers

Any channel, VP, audience, or creative that isn't contributing to LEMs after 60 days of data gets cut. Reallocate budget to winners. No sentimentality.

Owner: Paid Lead Day 65

54

Creative production: Round 3

Iterate on winning creative concepts. If founder-led content won, produce more [Founder] content. If UGC won, recruit more creators. If treatment education won, build a content series. 6-8 new creatives this round.

Owner: Content Lead + Growth Lead Day 70

55

Expand geographic targeting (if warranted)

If hyperlocal is working, expand to: Scottsdale/Phoenix, Dallas, Miami -- top medspa-density metros. Only if CPI and downstream metrics hold.

Owner: Paid Lead Day 70

3.2 Provider Partnership Expansion (Days 61-90)

Goal: If in-clinic acquisition is working, this is the highest-leverage activity. Build the flywheel.

56

Develop provider pitch deck

Using data from Phase 1-2 activation days: "X users downloaded LumaTrack at [clinic name]. Y% came back for their next appointment on time. Z% tracked their treatment. Here's what this means for your retention." Even small numbers tell a powerful story.

Owner: Content Lead + [Founder] Day 65

57

Approach 5-10 new medspas

Target Bay Area, LA, San Diego, plus 1-2 new metros if data supports it. Use the pitch deck. Offer free partnership (no cost to provider). Ask for: QR code placement, staff script, one activation day.

Owner: [Founder] Day 75

58

Develop provider retention dashboard (v0)

Even a simple Looker Studio report showing "patients from your clinic who use LumaTrack" metrics. Rebook rates, tracking engagement, satisfaction scores. This becomes the proof for sponsored listings later.

Owner: Eng Lead Day 80

59

Monthly provider update email

Send partner medspas a monthly summary: how many of their patients use LumaTrack, engagement metrics, testimonials. Keep them engaged and invested in the partnership.

Owner: Content Lead Day 70

3.3 Lifecycle Optimization (Days 61-90)

Goal: Refine the lifecycle system based on 60 days of data. Build the automated journey that turns installs into LEM contributors.

60

Lifecycle performance review

Which emails have the highest open rates? Which drive the most app opens? Which trigger the most LEM-related actions? Optimize: rewrite low performers, A/B test subject lines, adjust send times.

Owner: Growth Lead Day 65

61

Build "LEM celebration" email

When a user completes their first LEM (tracks progress post-treatment), send a celebration email: "You just created your first Luma Evidence Moment!" Include their before/after comparison, encourage sharing, and prompt to invite a friend. This is the viral moment.

Owner: Growth Lead Day 70

62

Seasonal re-engagement campaign

Spring treatment season (March-May). Email + push to churned users: "Spring is the perfect time to start a new treatment. Track your results from day one." Timely, relevant, not spammy.

Owner: Growth Lead Day 75

63

SMS pilot (if appetite exists)

Test SMS for treatment reminders and check-in nudges. SMS has 98% open rates vs 20-30% for email. Start with a small opt-in segment. Only useful, timely messages.

Owner: Growth Lead + Eng Lead Day 80

3.4 Content & Community (Days 61-90)

64

Substack > email list growth assessment

How many email subscribers from Substack? What's the open rate? Are any converting to app downloads? If promising, increase Substack cadence to weekly and invest in cross-promotion.

Owner: Content Lead Day 65

65

Blog/Magazine SEO foundation

Identify top 10 keywords LumaTrack should own long-term ("is Botox worth it", "how long does filler last", "treatment tracking app"). Publish 2-3 SEO-optimized articles on LumaTrack Magazine. Not expecting traffic yet -- planting seeds for Month 4+.

Owner: Content Lead + Growth Lead Day 80

66

Influencer/creator micro-program

If Feb 23 influencer content worked, recruit 3-5 micro-influencers (5K-50K followers) in the aesthetic/skincare space. Not paid sponsorship -- offer free premium features and early access in exchange for authentic tracking journey content.

Owner: Content Lead Day 80

67

Community signal assessment

Are users sharing LEMs? Are there any organic mentions of LumaTrack on social? Is anyone asking about the app in Reddit skincare communities? If yes, nurture. If no, understand why not (product value not strong enough? sharing not easy enough?).

Owner: Content Lead Day 75

3.5 Phase 3 Final Deliverables

68

90-day marketing performance report

Full analysis: what we tested, what we learned, what's working, what's not. Include all KPIs, cohort analyses, creative performance, channel comparison, lifecycle metrics.

Owner: Paid Lead + Content Lead Day 88

69

GTM playbook v1

Document the 1-2 repeatable acquisition motions with unit economics. "Here's how we get a LEM-contributing user, here's what it costs, here's why we believe it scales."

Owner: Content Lead Day 90

70

Investor data package

Prepare the metrics for investor conversations. LEM contribution rates, retention curves, GTM unit economics, market opportunity context. Not a pitch deck -- a data appendix.

Owner: Content Lead + Eng Lead Day 90

Day 90 Checkpoint -- The Investor Readiness Assessment

The question: Do we have the data to support the investment thesis?

Dimension	Target for "Fundable"
Total engaged users (completed onboarding + at least one action)	500-1,000
LEM contribution rate (% of onboarders who create a LEM)	10-15%
D30 retention	15-20%
Cost per LEM-contributing user	<$50
At least one repeatable GTM motion identified	Yes
In-clinic flywheel showing early signs	Yes
Brand awareness signals (social following, Substack, organic mentions)	Trending up
Clear diagnosis: GTM vs product problem	Answered

Weekly Meeting Cadence

Meeting	Frequency	Attendees	Purpose
Marketing Team Standup	2x/week (Mon, Thu)	Content Lead, Paid Lead, Growth Lead	Tactical: what's running, what needs attention, blockers
Marketing <> LumaTrack Sync	Weekly (Wed)	Content Lead, [Founder], Eng Lead	Strategic: results, learnings, decisions, product feedback
Performance Review	Weekly (Mon)	Paid Lead	Data: send weekly KPI report to full team via Slack
Monthly Deep Dive	Monthly	Full team	Strategic: cohort analyses, diagnostic progress, budget decisions

Creative Testing Framework

Always be testing

At any given time, we should have at least 3-4 active creative concepts per VP. Kill losers weekly, replace with new concepts.

Format priority: Reels/9:16 video > carousel > static image. Video outperforms 2-3x in beauty/wellness.

Concept Type	VP1 Example	VP2 Example
Pain spotlight	"You've tried everything. But do you know what actually worked?"	"You spent $1,200 on that laser. Can you prove it worked?"
Social proof / aspirational	"Join women who stopped guessing"	"Finally have the receipts when friends ask 'what did you do?'"
Founder story	[Founder]: "I built this because I was tired of guessing"	[Founder]: "I spent $2K and couldn't tell you what worked"
App demo	Screen recording: onboarding > first recommendation in 3 min	Screen recording: snap photo > compare > see progress
UGC / testimonial	"LumaTrack told me to skip the treatment I was about to book"	"I can actually see the difference now"
Treatment education	"3 things to know before your first filler" (VP1 CTA)	"How to know if your Botox is working" (VP2 CTA)

Key Risks & Mitigations

Risk	Likelihood	Impact	Mitigation
Onboarding doesn't improve despite changes	Medium	Critical	Escalate to product team by Day 14. Consider radical simplification (skip selfie, 3-tap onboarding).
In-clinic acquisition doesn't produce engaged users either	Low-Medium	Critical	This would confirm a product problem. Pause paid growth. Redirect all resources to product iteration.
[Founder] can't maintain content cadence	Medium	Moderate	Pre-batch content. Ghostwrite drafts. Record 5-6 videos in one session, distribute over weeks.
SKAN attribution limitations prevent clean cohort analysis	High	Moderate	Use proxy metrics: unique QR codes per clinic, UTM parameters, Customer.io event matching, self-reported "how did you hear about us?" in onboarding.
Budget runs out before we have signal	Low	High	Strict weekly budget monitoring. Kill underperformers fast. Focus spend on highest-signal experiments.
Provider partners lose interest	Medium	Moderate	Monthly update emails. Show them data. Invite to activation days. Make them feel like partners, not distribution channels.

17

Measurement & Success Framework

North star metric, per-stage KPIs, risk matrix, and four success scenarios for Day 90

LEM Rate

North Star Metric

LEM Contribution Rate -- the percentage of onboarded users who track progress at least once post-treatment. Everything above feeds into it. Everything below flows from it (retention, virality, revenue, fundraisability).

Per-Stage KPI Thresholds

CTR (Meta) 30-Day: 1.5%+ | 90-Day: 2%+ Impression > Click

CTR (TikTok) 30-Day: 0.8%+ | 90-Day: 1.2%+ Impression > Click

Hook Rate / 3s View (TikTok) 30-Day: 30%+ | 90-Day: 40%+ Impression > Click

App Store Conversion 30-Day: 15%+ | 90-Day: 20%+ Click > Install

Session Start Rate 30-Day: 95%+ | 90-Day: 95%+ Install > Onboarding Start

Onboarding Completion Rate 30-Day: 85% | 90-Day: 90% Current est.: ~70%

Photo Capture Rate 30-Day: 50%+ | 90-Day: 60%+ Onboarding > Baseline Photo

Treatment Log Rate 30-Day: 40%+ | 90-Day: 50%+ Baseline > Treatment Logged

Check-in Rate (D3-D7) 30-Day: 30%+ | 90-Day: 40%+ Treatment Logged > First Check-in

LEM Conversion 30-Day: 5% | 90-Day: 10-15% Current est.: Near 0%

D1 Retention 30-Day: 25% | 90-Day: 30% Current est.: [X]%

D7 Retention 30-Day: 15% | 90-Day: 20% Current est.: [Y]%

D30 Retention 30-Day: 15% | 90-Day: 20% Current est.: Unknown

Viral Coefficient 30-Day: Establish baseline | 90-Day: 0.1+ LEM > Share/Invite

CPI (Meta) 30-Day: $3-6 | 90-Day: $3-5 Current est.: $3-8

Cost per Completed Onboarding 30-Day: $8-15 | 90-Day: $6-12 Current est.: Unknown

Cost per LEM-contributing User 30-Day: Track baseline | 90-Day: <$50 Current est.: Unknown

In-Clinic Channel KPIs

Installs per Activation Day 30-Day: 15-30 | 90-Day: 30-50 Current: 0

In-Clinic Onboarding Completion 30-Day: 90%+ | 90-Day: 95%+ N/A

In-Clinic LEM Rate 30-Day: 20%+ | 90-Day: 30%+ N/A

Lifecycle KPIs

Flow 1 Signup-to-Install Rate 30-Day: 60%+ | 90-Day: 70%+ Current: Unknown

Flow 2 Install-to-Baseline Rate 30-Day: 50%+ | 90-Day: 60%+ Current: Unknown

Email Open Rate (avg) 30-Day: 35%+ | 90-Day: 40%+ N/A

Stall Recovery Success Rate 30-Day: 15% | 90-Day: 25% N/A

Diagnostic Framework: GTM Problem or Product Problem?

This is the single most important analytical question. Run this diagnostic at Day 40 (in-clinic vs. paid cohort comparison) and Day 60 (full diagnostic with VP, persona, and lifecycle dimensions).

Signal	Diagnosis	Action
In-clinic users have 3-5x higher LEM rates than paid social	GTM problem: paid ads bring wrong people or set wrong expectations	Fix targeting, creative, VP messaging. Scale in-clinic.
In-clinic users AND paid social users both have near-zero LEMs	Product problem: even highest-intent users don't find value	Pause paid. Redirect all resources to product (reduce LEM friction, improve TTFV).
VP2 cohort has higher LEMs than VP1 cohort (at 90 days)	Sequential funnel working: VP2 captures high-intent users directly	Maintain both. Optimize VP1>VP2 bridge. Measure VP1 users again at 6 months.
VP1-bridged users create LEMs at rates comparable to native VP2	Full funnel validated: VP1 successfully feeds VP2	Scale VP1 acquisition (larger addressable audience). Invest in bridge optimization.
Lifecycle email recipients retain better than non-recipients	Lifecycle working: invest more in email/push	Scale lifecycle: add treatment-specific nurture, seasonal campaigns, SMS pilot.
Users who received lifecycle emails also don't retain	Deeper product issue: lifecycle can't compensate for missing product value	Investigate: is the value gap in tracking, recommendations, or timing?

Risk Matrix

#	Risk	Likelihood	Impact	Early Warning Indicator	Mitigation
1	Product delivers insufficient value for LEMs -- even high-intent in-clinic users don't track after Day 14	Medium	Critical	In-clinic LEM rate <10% at Day 40. Qualitative interviews reveal "I forgot" or "didn't seem worth it."	Reduce LEM to 2 steps (tap notification, take photo). Show instant before/after comparison as reward. If still failing, consider: is the value in recommendations (VP1) rather than tracking (VP2)? Possibly shift product emphasis entirely.
2	Timing mismatch persists despite VP1 bridge -- paid social users download, get a recommendation, and never return	High	High	VP1-to-VP2 bridge rate <5% after 60 days. Email nurture open rates decline over sequence.	Strengthen VP1 standalone value: make the recommendation engine worth returning to even without a treatment. Consider: is VP1 the product, not just the bridge?
3	In-clinic channel doesn't scale -- 4 partner medspas produce good results but expanding proves operationally difficult	Medium	High	Activation day results vary 3x+ across locations. Staff compliance drops after Week 1. New medspa outreach yields <20% interest rate.	Standardize the activation playbook. Create provider retention dashboard showing patient engagement data. Build the provider pitch on THEIR benefit: "patients who use LumaTrack rebook on time more often."
4	Allergan (Alle) adds treatment tracking -- with 6M members and 19K provider relationships, could add tracking within 12-18 months	Low-Medium	Very High	Allergan press releases mentioning "treatment tracking" or "patient outcomes." Alle app updates adding photo features or treatment timelines.	Move fast on category definition. Own "aesthetic treatment tracking" in consumer and press consciousness. Build data switching costs. Lock in provider partnerships. Cross-provider tracking is LumaTrack's structural advantage -- Alle will always be Allergan-biased.
5	Budget exhausted before signal -- spend runs for 3 months without conclusive data on LEM contribution	Low	High	Cost per LEM-contributing user >$100 at Day 60. Sample sizes too small for cohort-level conclusions.	Strict weekly budget monitoring. Kill underperformers fast. Focus 65% of budget on the two highest-signal experiments. Accept that 90-day learnings are worth the investment even if LEM rates are modest -- the data itself is fundable if the trend is right.

Day 90 Success Scenarios

Scenario A: "We Found It" (Best Case)

One VP clearly wins on downstream engagement
In-clinic users have 3-5x higher LEM rates than paid social
We have a repeatable in-clinic playbook and 8-10 partner locations
LEM contribution rate is 10-15% and improving
[Founder] has compelling data for investor conversations

Next step: Raise on data. Scale in-clinic aggressively. Launch subscription tier.

Scenario B: "Getting Warmer" (Good Case)

One VP is trending better but not conclusive
In-clinic shows promise but sample size is small
LEM contribution rate is 5-10%
Lifecycle emails are clearly helping retention

Next step: Continue for another 60 days. Increase in-clinic investment. Begin subscription tier design.

Scenario C: "Product Needs Work" (Tough Case)

Neither in-clinic nor paid social users are contributing LEMs at meaningful rates
Users complete onboarding but don't track
Qualitative interviews reveal product friction or value gap

Next step: Pause paid growth. Redirect all budget to product improvements. Focus on: reducing friction to first LEM, improving TTFV for VP2, possibly pivoting product emphasis toward VP1 (recommendations) as the primary hook.

Scenario D: "Wrong Market" (Worst Case)

Even high-intent users (in-clinic, with something to track) don't engage
Qualitative interviews reveal users don't want to track (too much effort, don't care enough)
The problem exists but the solution isn't valued

Next step: Fundamental product/market reassessment. Explore: is the value in provider-facing analytics instead of consumer tracking? Is the value in the recommendation engine (VP1) rather than tracking (VP2)? Consider pivoting GTM entirely.

Cohort Analysis Framework

Every user is tagged at acquisition with three dimensions. All downstream metrics are analyzed at the cohort level, not as averages ("Think in cohorts, not averages").

Dimension	Values	Why It Matters
Acquisition source	Paid Meta VP1, Paid Meta VP2, Paid TikTok VP1, Paid TikTok VP2, Google VP1, Google VP2, In-Clinic (by location), Organic, Referral, Substack/Email	Answers: which channel produces LEM-contributing users?
VP entry	VP1 (recommendation path), VP2 (tracking path), Provider referral (no VP)	Answers: which value prop attracts users who actually engage?
Persona proxy	Claire (multi-treatment, multi-provider signals), Priya (first-timer signals, VP1 entry), Megan (in-clinic acquisition, single-treatment)	Answers: which persona converts to LEMs at the highest rate?

Attribution Stack

Tool	Role	Limitation
AppsFlyer SKAN	Aggregated install attribution	24-48h lag, no user-level data, limited conversion values
Amplitude	In-app behavior, cohort analysis, LEM tracking, session replays	Requires proper event instrumentation
Customer.io	Lifecycle email attribution, segment tracking, identity stitching	Depends on web-to-app identity merge working
UTM parameters	Web-to-app flow, clinic QR codes, campaign tagging	Manual, requires discipline
BigQuery + Looker Studio	Cross-channel reporting, cohort comparisons, weekly dashboard	Aggregation layer, not real-time

SKAN Workarounds

Apple's SKAN framework limits user-level attribution. Five practical workarounds:

1

Unique QR codes per clinic

Aggregate installs from each clinic QR code measured directly, no SKAN needed.

2

UTM parameters on all links

Customer.io captures UTM data at signup, persists through install.

3

Self-reported "How did you hear about us?"

Simple dropdown in onboarding, low-friction.

4

Customer.io identity stitching

Web signup email matched to app install email. Flow 1 effectiveness is directly measurable.

5

Cohort-level inference

If VP2 Meta campaign drives 100 installs and 15 create LEMs, that cohort's LEM rate is 15% -- no user-level attribution needed.

LumaTrack GTM Strategy v2

Built by MH-1 v2.4

What Went Into This Strategy

Three pillars, one strategy

The Opportunity

Executive Summary

The Three Critical Problems

The Timing Mismatch

The [X]% Onboarding Drop-Off

Near-Zero LEM Contribution

The Unified Strategy

Growth Operating Principles

Fix the funnel before filling it

Separate the GTM question from the product question

Treat LEMs as the only metric that matters

Respect the timing mismatch

Don't monetize prematurely

Use the brand advantage

Think in cohorts, not averages

The Market

Total Addressable Market (TAM)

TAM: Multiple Sources Triangulated

Why the range matters

LumaTrack-Specific TAM

Serviceable Addressable Market (SAM)

Serviceable Obtainable Market (SOM)

Market Growth Trajectory (2019-2026)

Key Takeaway

Procedure Volume Data (2024, ASPS)

Key Market Drivers

Non-Surgical Dominance

Demographic Expansion

GLP-1 Crossover

Med Spa Proliferation & Consolidation

Consumer Sophistication

Normalization

Consumer Demographics

Market Headwinds

Geographic Concentration

Seasonal Patterns & Timing Windows

Market Maturity Assessment

Bottom Line

The Competitive Landscape

The Zero-Competitor Paradox

Adjacent / Indirect Competitor Deep-Dives

RealSelf

Alle (Allergan Aesthetics)

Cherry

PatientFi

Miiskin

AEDIT

Camera Roll + Notes App + Spreadsheets

White Space Analysis

Competitive Moat Assessment

Current Moats (Weak but Building)

Future Moats (Must Build)

Potential Competitive Threats

Defensive Strategy

The Consumer

Consumer Intelligence

Treatment Cycles & Cost Ranges

Critical Insight

The 6-Stage Consumer Decision Journey

Research (Weeks to Months)

Decide (Days to Weeks)

Treat (Day of Procedure)

Assess (Weeks to Months)

Rebook (Recurring, 3-12 Months)

Evolve (Ongoing)

Pain Points Ranked by Severity

Trust Hierarchy

Own Provider / Injector

Friends Who've Had the Same Treatment

Anonymous Peers with Detailed Experiences (Reddit)

Evidence-Based Content Creators

Founder-Led Brands with Authentic Stories

Professional Organizations (ASPS, AAD)

Brand Advertising

Influencer Endorsements

LumaTrack Implication