Private Data Room
You've been invited to review
the mymodel pre-seed round.
A consent-first consumer data marketplace.
$2M raise at $10M pre-money.
$125.5M
Year 1 ARR
1.5M
Month 12 Users
62.7x
Base Return
$2M activates all of it.
This data room is built for desktop.
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Confidential — do not distribute

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 data economy
needs better infrastructure.

Four forces converged. All at once. Right now.

The Problem — Three Supply-Side Failures
Regulatory Shift
80–90%
The old pipelines are gone.
iOS ATT opt-out rate. IDFA dead. Third-party cookies dead. Non-consensual data collection is structurally over — not trending over. Over.
Adjust ATT Opt-In Rates 2025
Brand Signal Loss
$10B / yr
Brands are flying blind.
Meta's disclosed annual revenue impact from signal loss alone. Digital ad waste grew 34% in two years. The spend stays. The signal doesn't.
Meta earnings · ANA Programmatic Benchmark 2025
Consumer Shift
99.6%
People will share — for a fair deal.
Of consumers say they'd share personal data in exchange for relevant incentives. They're not anti-data. They're anti-exploitation.
Attentive Personalization Study, 2024
The Opportunity — Demand-Side Opening
Global Data Broker Market
$365B
Mordor Intelligence, 2026
Incumbents cannot rebuild trust.
Their entire stack is the problem.
The global data broker market is built entirely on the extractive model that's now collapsing. Every incumbent is architecturally incapable of consent-native infrastructure. They can't retrofit trust into a system designed to extract without it.
First-mover advantage: structurally permanent.
A once-per-decade alignment of policy, culture, and market demand.
Whoever earns user trust first
owns the rails for the next decade.
User Growth Strategy
The first tech companythat gives morethan it takes
01 — User Value Prop
Nearly free money,
minimal friction,
maximum payout

One-time 30-second onboarding. Model updates live — zero lift. Users earn by accepting push notifications.

9:41●●●
Our goal is to get people paid
as much as possible, as safely as possible.
02 — Distribution Strategy
A new era of
mass consumer trust

Tech has a trust problem. @theantitechbro is the answer. Gen Z is drawn to movements for social good — data ownership is the next one. Warmed account. Existing content. The raise scales the engine.

  • Scale the content operation — production, cadence, volume.
  • Scale the audience — organic reach compounds into waitlist and downloads. Zero paid acquisition.
  • Scale the moat — trust built in public is the only distribution that can’t be replicated.
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.

Find verified audiences in your target market and request their consent directly.

Audience Orders (AOs)
Offers are sent to matched users at a set floor per-user price.
Users receive 100% of the payout.
Our fee is charged on top.
  • 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.
Consent-first architecture — CCPA/CPRA compliant by design.
Audience Order — Value Flow
What goes in. What comes out. What it's worth.
Brand inputs
Filter & deploy
Search verified behavioral profiles. Set floor price. Deploy an AO to matched users.
Takes ~5 minutes
User response window
24-hour consent window
Users accept or decline. 100% of payout goes to them. mymodel fee is charged on top — no revenue sharing with the platform.
Fill rate: 100% structural
— declined offers auto-redeploy
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 observed
2–4×
Month 1 vs. Meta baseline
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
154K US brands Phase One addressable
$5K–$100K/mo Meta spend range
~30% ad waste wrong audience rate
1 decision-maker no enterprise procurement
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
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 — Compounding ROI
Immediate return.
Then it compounds.
Without mymodel
With mymodel
Meta ad spend
$30K/mo
$30K/mo
Targeting & data stack
Audience intelligence tools
$1K–$5K/mo
CDP + attribution + third-party audience data
Industry avg, mid-market DTC
Consolidated
Included in mymodel subscription
Audience quality
What your spend actually reaches
Probabilistic
30% reaches wrong audience
(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

Unprecedented Efficiency
Agents matching users to brands at scale

Automated email outbound matches verified users to qualified brands —
three channels find them, one flywheel compounds them.
Business Model

Low barrier to entry.
Immediate ROI.
A closed system built forlongevity and scale.

Basic Premium Enterprise
Monthly fee
$199/mo
→ $499/mo Q1 2027
$999/mo
$1,999/mo
Audience Orders 1 Up to 5 (avg 3) Unlimited (ramp 5–12+)
Floor per user $5.00 100% to user $3.50 $3.00
Transaction fee
charged on top of user payout
12%
10%
8%
Users per AO (avg est.) ~500 ~1,000 ~1,000+
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
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.
ROI demonstrable from Month 1. Each tier creates independent lock-in through the intelligence moat and trust channel. Churn stays at 1.2%.
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.
Lifetime Value
Revenue ÷ 1.2% monthly churn → 83-month avg brand lifetime. Steady-state ARPU.
Basic
$93,000
$1,120/mo × 83mo
Premium
$263,000
$3,173/mo × 83mo
Enterprise
$661,000
$7,961/mo × 83mo
12-Month Projections

Capital is the activation event.

This is what it produces.
Budget & Runway
$2M raise → 12+ months of operations

$2M Allocation

Team & Hiring Timeline

Runway: 12+ months
MonthPhasePersonnelConsultants MarketingInfraLegalOther Total SpendRevenueNet BurnCash 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 architecture
Designed and in active development. Technical architecture built for compliance and scale from day one.
✓
Brand outreach stack
Instantly + Inframail. Built, tested, and warmed. 50K/day capacity ready to deploy.
✓
Content accounts warmed
@theantitechbro audience primed. Production at scale requires capital to run consistently.
✓
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.

What We're Looking For

The cap table is the machine.

Every seat covers a domain the others don’t.
The sum becomes greater than its parts.

GP
We prefer investors who move fast.
Preference toward solo GPs. Operators who make introductions and bring conviction — not committee decisions. Speed of trust matters as much as the check.
MKT
Marketplace investors
Two-sided network, liquidity, and take-rate playbooks map directly here.
DATA
Data infrastructure investors
Consent-native data pipes, identity resolution, and clean-room architecture are core to the stack.
APP
Consumer app investors
User acquisition, retention, and monetization through a trust-first consumer product.
ADT
AdTech, MarTech, or RetailTech
Signal quality, audience segmentation, and ROAS infrastructure experience is directly applicable.
AI
Big data / AI investors
The intelligence moat is a behavioral data corpus trained on revealed, not stated, preference.
IMP
Impact or AI-for-good investors
First company architecturally built to pay users for their data — not extract it.
DTC
Generalists with retail & DTC networks
Warm intros to Phase One brands accelerate the first 50 brand closes.
PR
Generalists with PR & new media access
The anti-surveillance narrative is a press cycle. The right intro amplifies the user flywheel.
We have a few remaining spots open for advisors with domain expertise in any of the above areas.
Connect on LinkedIn →
The Team

Two builders.
One mission.

Founder & CEO
Jordan Smith
@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.
Technical Co-Founder
Chris Madison
ex-Microsoft  ·  Data Architect
Gen-Z engineer with Microsoft pedigree and a data architecture background built for this exact infrastructure challenge. The technical rigor to execute quickly, at scale, with compliance from day one.
Two Gen-Z ex-Microsoft builders.
The cultural legitimacy incumbents can't replicate.
First Hires Post-Raise
CTO
Technical leadership from day one.
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.
Growth Lead
Owns the brand acquisition pipeline.
Email outreach, channel partnerships, and inbound conversion.
Hire #3 — pipeline building toward launch.
Questions?  jordan@getmymodel.com