Annual programmatic spend. CTV growing 15% YoY. Brands demanding deterministic precision over "black box" segments.
Data providers possess world-class identity graphs, but translating business goals into activated segments is manual and friction-heavy.
We're building a "Consultative AI Layer" on top of your existing data. New revenue channel — zero operational burden.
Converting business goals into audience segments currently costs time, money, and opportunity. It relies on manual SQL tickets, file exports, and validation. This friction slows revenue and customer enthusiasm, reducing value and utilization of high-fidelity data.
A new product category. Cycle compressed from weeks to hours.
AI Strategist translates natural language business goals into creative concepts grounded in proprietary semantics.
System auto-generates precise SQL against your specific identity graph schema.
Real-time Snowflake execution provides actual counts, sample records, and match rates instantly.
Integrate with ad platforms via rETL (Hightouch/Census). These are living segments that auto-refresh, not stale CSVs.
| Metric | Traditional Sales | This Partnership |
|---|---|---|
| Audience Ideation | Manual strategist work | AI-generated concepts in minutes |
| Query Translation | Data ops writes SQL | Natural language to SQL automatically |
| Validation | Hope and pray | Real-time counts & sample records |
| Time to Activation | 15–20 Days | 24-48 Hours |
| Partner Effort | 5+ touches per request | 0 touches per request |
Heads of Performance & Programmatic Leads at mid-market brands ($50M–$500M revenue) in Travel, Home Services and other high LTV verticals.
These brands are too large for generic segments but lack the in-house data science to build custom Snowflake-native graphs. They are "starved" for high-fidelity strategy that they can execute tomorrow.
Eliminating marketplace latency and the "onboarder tax."
API-Driven Activation
We utilize Reverse ETL to push deterministic identifiers (UID2, MAIDs, Hashed Emails) directly into the client's DSP/Social/CTV seats via First-Party Data APIs.
Instant Market Access
Bypass the 60-day "Data Provider" approval cycles. Audiences appear in the client's targeting menu within 24 hours, maintaining the momentum of the AI discovery session.
Deterministic Match Rates
By mapping directly to the endpoint, we eliminate the 30%+ match loss common in third-party marketplaces.
Clean Revenue Capture
Direct monthly invoicing based on Snowflake record counts. No "tech tax" from the DSP, and 100% transparency for all parties.
Records-Delivered Pricing
CPM on delivered audience size. Simple, predictable, no complex DSP approvals.
Platform + Usage
Monthly platform fee for AI access + usage fee on activated records. Recurring service revenue.
Shift from data vendor to strategic partner.
Margin Profile at $1.5M ARR:
| Revenue | $1,500,000 | 100% |
| Data Partner Share | Negotiable | TBD |
| Tooling / Infrastructure | –$75,000 | 5% |
| Salaries (3 - 4 FTE) | –$500,000 | 33% |
| EBITDA | $500K+ | 33%+ |
We carry the costs: customer acquisition, compute, product development, and tooling.
You share the revenue.
Negotiable based on value-add and beta support. Aligned to your existing agency/reseller economics.
AI replaces the strategist. rETL replaces the engineers.
Growth becomes a sales opportunity, not a staffing problem.
We bring the hustle and the tech; you bring the data.
Owns AI application and data partner relationship.
Focuses on client acquisition and high-LTV verticals.
Handles rETL operations and destination configs.
AI automates the strategist. rETL automates the engineer.
The team stays radically focused on selling and fulfilling.
Tech setup. Beta client onboarding. Validate end-to-end workflow from discovery through activation.
Prove model. Measure performance lift vs. standard vendor audiences.
Publish case study. Validate pricing model. Define the scale plan.
If we fail, you learned something for free.
If we succeed, you have a new strategic capability.
Snowflake Secure Share (read-only, revocable) + 2-4 hours data ops support for initial schema mapping and share configuration.
2-3 mid-market brands from your pipeline who've expressed interest but haven't scaled. We handle all fulfillment.
Revenue share aligned to your existing agency/reseller agreements. Open to partnership, white-label, or JV structure depending on strategic fit.
If successful, explore co-development of vertical-specific semantic modules (financial services, automotive, etc.)
By 2026, AI-native activation will be the standard.
Let's own it today.
My priority is proving the model in 90 days. Once we validate operationals and client economics, we can optimize structure based on what we learn together.
Revenue Share Partnership
Simple commission model. You provide data access, I handle operations, we split revenue.
White-Label License
You use the platform with your branding for direct client relationships. I provide platform + support.
Joint Venture
Co-owned entity with shared equity, governance, and upside. Deeper strategic alignment.
Acquisition + Transition
You acquire the IP and platform, I stay on to run it as part of your team.
Inputs:
Equity Structure:
Governance:
This is a Month 4 conversation, not Month 1. Let's prove unit economics first.