The Win-Win
Consumer Data Economy
People
We get them paid as much as possible for their consent.
Brands
Verified, consented audiences and live market intelligence — built on trust, not guesswork.
12-Month Projections — $2M Pre-Seed
Click any card or number to see its formula and source.
The Moment
The old model collapsed.
No one has rebuilt it yet.
$365B
The infrastructure it was built on no longer exists.
It didn't fail because of bad actors — it failed because the tracking infrastructure every incumbent depends on — device IDs, third-party cookies, cross-app signals — was systematically shut down by platform policy. No incumbent can rebuild on consent. Their revenue model is the extraction model.
Mordor Intelligence, 2026
80–90%
Of iOS users declined app tracking — permanently.
The IDFA is functionally dead. Mobile ad signal collapsed overnight. What remained after ATT: roughly 50% targeting accuracy across digital channels — the baseline the industry had always quietly accepted. (Truthset/CIMM Household Identity Accuracy Project, Oct 2023: 51% avg match accuracy across ~1B records, 15 data providers.)
Adjust ATT Opt-In Rates, 2025 · Truthset/CIMM, Oct 2023
1 in 3
Impressions still reach the wrong person entirely.
Digital ad waste grew 34% in two years. The spend stayed. The signal didn't. Signal loss didn't create the problem — it exposed how bad it already was.
ANA Programmatic Benchmark, 2025
99.6%
Of consumers would share data willingly, for the right deal.
Not anti-data. Anti-exploitation. The willingness for a fair exchange has always been there. The infrastructure to deploy that at scale hasn't.
Attentive Personalization Study, 2024
Whoever earns user trust first
owns the rails for the next decade.
owns the rails for the next decade.
User Growth Strategy
The first platformwhere your consentpays you.
01 — User Value Prop
Nearly free money,
minimal friction,
maximum payout
minimal friction,
maximum payout
One-time 30-second onboarding. Model updates live — zero lift. Users earn by accepting push notifications.
Our goal is to get people paid
as much as possible, as safely as possible.
as much as possible, as safely as possible.
02 — Distribution Strategy
150K users.
That’s what $2M buys.
That’s what $2M buys.
The offer is free money — no effort, no subscription, no catch. Founder-led consumer brands convert at 3–4× the rate of traditionally marketed equivalents.Morning Consult Creator Economy Report, 2023 @theantitechbro is the channel — a movement, not an ad. Gen Z doesn’t trust platforms. They trust people. That’s the strategy.
The movement dynamic
The product comes to the user.
Not the other way around.
Not the other way around.
No habit to build. No feed to check. No reason to leave.
The platform delivers to the user — not the other way around.
When the offer arrives, it has money in it.
That’s why user churn starts at 0.2%.
Brand Growth Strategy
Ad targeting has always been guesswork.We built the infrastructure that delivers the answer —and the moat that protects it.
01 — Platform Mechanism
Search. Deploy.
Target.
Target.
Find verified audiences in your target market and request their consent directly.
- Deploy an AO — users accept or decline within 24 hours
- Query the ChatGPT of your live target market
- Export to ad platforms. Target with unparalleled precision.
How an Audience Order Works
A brand sets a floor price. Users consent or decline. Everyone gets what they want.
Users keep 100% of the payout. mymodel fee is charged on top — additive, not extracted.
① Brand inputs
Filter & deploy
Search verified behavioral profiles. Set floor price. Deploy an AO to matched users.
Takes ~5 minutes
→
② User response
24-hour consent window
Users accept or decline. 100% of payout goes directly to them. Declined offers auto-redeploy.
Fill rate: 100% structural — declined AOs auto-redeploy to next matched user
→
③ Brand receives
Verified audience + intelligence
Consented audience exported to ad platforms. Live behavioral data queryable via dashboard. 30-day access window.
AO cost to brand
$35–$60
floor + fee · per AO (avg 50 users)
ROAS uplift
2–4×
vs. Meta baseline · BCG/Google 2021; LiveRamp 3.5× case study
Intelligence moat
Compounds
Every AO deepens the signal
Why brands stay
1.2%
monthly churn · 83-mo avg tenure
02 — The Market
The Brands With the Most to Gain
Become the Proof That Unlocks the Rest
Become the Proof That Unlocks the Rest
Phase One — 154K US brands.
Entry cohort proves the model. Performance data unlocks the rest of the market.
Entry Cohort
Mid-Market DTC Brands
$5K – $100K / mo on Meta
Highest ad waste sensitivity — most motivated to switch
High ROAS sensitivity, no in-house identity resolution stack
Early-adopter influence that sets category norms
Phase One Market
154K
US brands spending $100K+/yr on Meta
Source: Meta Q4 2025 earnings
Source: Meta Q4 2025 earnings
Entry cohort ROAS proof unlocks full Phase One via Ch3 (Mo 3+)
All performance advertisers in scope — not only DTC
Expansion beyond Meta: Year 2+
Mo 12 capture
03 — Unprecedented ROI
Immediate return.
Then it compounds.
Then it compounds.
Without mymodel
With mymodel
Meta ad spend
$30K/mo
$30K/mo
Targeting & data stack
Audience intelligence & pre-campaign research
$1K–$5K/mo
CDP + attribution + third-party audience data
Industry avg, mid-market DTC
Industry avg, mid-market DTC
Pre-campaign audience brief
Consent-verified ICP segments & offer-ready buyer signals delivered before the first dollar is budgeted — replacing the CDP, attribution, and 3rd-party data layer.
Included in myModel subscription.
Included in myModel subscription.
Audience quality
What your spend actually reaches
Probabilistic
30% reaches wrong audience
(NC State / CSCW 2022)
(NC State / CSCW 2022)
Verified & deterministic
Confirmed identity. Explicit consent. 100% ICP-matched.
Audience readiness
Before the first impression
Cold
No consent. No prior relationship.
Pre-warmed
Matched, consented, and paid — brands enter with built-in favorability. Users already associate them with transparency and respect.
Long-term value
Beyond Month 1
None
No data moat. No trust channel.
Compounding
Intelligence moat + trust channel locked in.
Targeting impact
Wasted spend
~$9K/mo
30% of $30K Meta budget reaches wrong audience · NC State / CSCW 2022
ROAS lift on cold traffic
20–40%
$6K–$12K additional value from same budget · ZigPoll / WordStream
04 — Growth Engine
Agents matching users to brands at scale.
Automated email outbound matches verified users to qualified brands —
three channels find them, one flywheel compounds them.
three channels find them, one flywheel compounds them.
Here's the engine running in real time.
Ch 1
Cluster Targeting
Users cluster automatically by shared behavior. The engine detects each group, finds competing brands, and opens a sequence.
Ch 2
Coverage Balancing
Every segment tracks its own offer frequency. When a slice goes underserved, the engine identifies the missing brands and routes them into the pipeline.
Ch 3
High-Spend Meta Advertisers
Targets brands spending $100K+/yr on Meta. Unlocks at Month 3, once first-cohort ROAS lift is confirmed.
Channel 1
Cluster Targeting
Conversion rates updating in dashboard
Emails / mo
375K
Conv rate
0.02%
Brands / mo
~30
Channel 2
Coverage Balancing
⚠️2.0 offers · 2 weeks
fitness · 25–34 · urban · low coverage detected
Conversion rates updating in dashboard
Emails / mo
675K
Conv rate
0.02%
Brands / mo
~45
🔒Unlocks at Mo 3 · requires early cohort ROAS data
Channel 3 — High-Spend Meta Advertisers
Business Model
Low barrier to entry.
Immediate ROI.
A closed system built forlongevity and scale.
Take Rate Model
Declines as brands scale — 12% → 8%. Brands that grow pay less. Built for retention, not extraction.
GMV Definition
GMV = floor price × users per AO × AOs deployed
mymodel revenue = GMV × take rate, charged on top
mymodel revenue = GMV × take rate, charged on top
Unit Economics
What each brand is worth.
By the numbers.
LTV:CAC Ratio
Premium tier · base case
7,514:1
$263,000 LTV ÷ $35 CAC. Brands pay for themselves before their first AO completes — then stay an average of 83 months.
Churn basis: 1.2%/mo — higher than Klaviyo (0.83%) and LiveRamp (0.42%). The model is more conservative than its comps. The moat is why they stay.
Acquisition Cost
$35
per brand · base case
~$130K Y1 cost ÷ brands acquired. First invoice exceeds CAC at every tier.
Payback Period
Day 1
Basic
$199 > $35
Premium
$999 > $35
Enterprise
$1,999 > $35
Memberships
~99%
Gross margin. SaaS-like — no delivery cost. Recurring monthly subscription.
Transaction Fees
10–12%
Take rate on GMV. Additive — brands pay on top of user payout. Scales with AO volume.
Click any card to see its formula and source.
12-Month Projections
Capital is the activation event.
This is what it produces.
Budget & Runway
$2M raise → 14 months of runway
$2M Allocation
Team & Hiring Timeline
Runway:
14
months · $127K avg monthly opex
| Month | Phase | Personnel | Consultants | Marketing | Infra | Legal | Other | Total Spend | Revenue | Net Burn | Cash Left |
|---|
The Raise
One founder built this.
Here's what $2M turns it into.
The infrastructure is built. The pilot is next.
Here's what $2M sets in motion.
What one person built without it
✓
Product
Two functional frontends (brand + consumer) and a working backend. Audience targeting, offer creation, consumer onboarding, and the Gmail data pipeline are production-complete. What remains: payment rails and offer delivery wiring. Architecture done. Wiring left.
✓
Brand outreach stack
Instantly + Inframail. Built, tested, and warmed. 50K/day capacity ready to deploy.
✓
Trust layer — @theantitechbro
The best consumer brands build their audience before they launch their product. @theantitechbro builds the audience before mymodel launches. Gen Z doesn't trust platforms — they trust people. The $2M turns an early audience into a 150K+ user waitlist.
✓
Consent architecture mapped
CCPA/CPRA compliant by design. Legal framework in final review.
✓
Financial model
Pure formula chain. Every number sourced, every input documented, every scenario stress-tested.
✓
Pilot brand in setup
First brand relationship established. Structured to generate Mo 1 ROAS proof data.
What capital unlocks — in sequence
Phase 1 · Apr–May 2026
Build.
CTO joins. Legal finalized. Team assembled and outreach sequences loaded for launch.
Team in place. Product complete. Outreach ready to fire.
Phase 2 · Jun 2026
Pilot.
First AOs deployed. First user earnings paid. ROAS data collection begins — the proof that unlocks 154K brands.
First ROAS case study in hand before public launch.
Phase 3 · Jul 2026
Launch.
Full public launch. Waitlist converts. Email outreach at scale. Intelligence moat compounds with every AO.
Mo 1 begins. Every chart above starts here.
The sequence above produces $125.5M ARR at Month 12.
Base case · Here's what that's worth to you.
The Return
$2M Pre-Seed Round
$10M pre-money • $12M post-money • 16.7% dilution
$50K$2M
ARR multiples: 10x conservative, 15-20x current median, 25x premium. Source: PitchBook 2024.
How You Can Be Included
We're building with domain experts
at every layer.
Every investor, advisor, and hire is chosen for domain fit. The whole is greater than the sum of its parts — and that applies across capital, expertise, and execution.
Current Team
Founder & CEO
@theantitechbro
Worked with hundreds of brands across both sides of the data economy. Building the trust moat required for a consent-native exchange — through culture, content, and product, simultaneously. The raise scales an engine already in motion.
Users trust who is building this as much as what is being built.
Founding Engineer
Chris Madison
ex-Microsoft · Data Architect
Built the backend infrastructure powering myModel's data pipeline, audience targeting, and consumer onboarding. Production-complete architecture, designed for scale and CCPA compliance from day one.
Domain Support
No equity. No formal arrangement. These are the domain experts who've been in the room while this was built — because they believe in what it is.
Brand Sales
Jordan Cushman
Director, SMB Sales — Reddit Ads
The brand buyer's perspective — SMB advertiser sales at Reddit maps directly to myModel's DTC ICP and covers the GTM motion until a Growth Lead formalizes it.
AI & Behavioral Modeling
Chris Anzalone
3× Founder, CEO — NextLM
Serial founder operating at the intersection of human behavior modeling and AI — directly informs myModel's intelligence layer and provides battle-tested scaling judgment.
iOS · Consumer Behavior
Shahin Zangenehpour
Principal Mobile Engineer | Neuroscience PhD
iOS architect and behavioral neuroscientist whose expertise in consumer-native mobile experience directly informs the consent model and user engagement design.
Fintech · Social Impact
Lynn Liss
Social Impact Executive & Fintech Leader
Contribution economy architect whose work on equitable data exchange mirrors myModel's founding thesis — and informs the user earnings infrastructure.
The raise deepens expert coverage across every layer of this business —
in who invests, who advises, and who we hire.
in who invests, who advises, and who we hire.
First Hires Post-Raise
CTO
Technical leadership from day one.
Owns product architecture, data pipeline, and compliance infrastructure.
Hire #1 — joins before pilot.
Owns product architecture, data pipeline, and compliance infrastructure.
Hire #1 — joins before pilot.
Content Producer
Scales @theantitechbro and brand-facing content.
Video, social, and editorial across all channels.
Hire #2 — funded at close, ramps into pilot.
Video, social, and editorial across all channels.
Hire #2 — funded at close, ramps into pilot.
Growth Lead
Owns the brand acquisition pipeline.
Email outreach, channel partnerships, and inbound conversion.
Hire #3 — pipeline building toward launch.
Email outreach, channel partnerships, and inbound conversion.
Hire #3 — pipeline building toward launch.
Questions? jordan@getmymodel.com