Build the economics foundation your pricing decisions and fundraising diligence need
For founders of AI-infrastructure, API, and data-platform companies (Seed–Series B) that need a working unit economics model, cost-floor analysis, and forecasting logic — built to support pricing decisions and fundraising diligence.
- Best for
- Messy forecasting, weak unit economics, or investor pressure for growth metrics
- Typical scope
- Three weeks
- Fixed fee
- $18,000 fixed
Focused growth economics work that produces decisions you can use
You leave with
- A working KPI system with metric tree, north star, and thresholds your team will actually use
- A unit economics model LTV, CAC, payback period, and gross margin by segment — not generic templates
- A forecasting framework cohort-based revenue logic, scenario switches, and investor-readable outputs
- A growth narrative the commercial story of where your economics stand and what to fix first
Typical deliverables
- Metric tree and KPI glossary with thresholds
- Unit economics model (LTV / CAC / payback / GM by segment)
- Rolling forecast workbook with scenario logic
- North star definition and decision framework
- 30-day action plan + follow-up call
Note: Exact deliverables depend on scope. Some projects are narrower. Some require deeper modeling.
Most founders start with a free diagnostic note
The free one-page note and the two-week Commercial Architecture Diagnostic set the direction. This Build is where you construct the economics foundation.
Start with the Diagnostic if you need
- Direction on value metric, pricing, and unit economics
- A prioritized action list of what to fix first
- A lower-risk way to see how I think before a larger build
Move into this Build if you need
- A full KPI system, not just a quick metric recommendation
- Unit economics and forecasting to work together as one model
- A structure you can actually present to investors
- A clearer economics narrative before launch or fundraise
Not sure yet? Start with a free one-page diagnostic note — you see how I think before anything is paid.
A single fixed fee of $18,000
Unit economics model, cost-floor analysis, cohort-based forecasting logic, and a KPI system your team will actually operate — built over three weeks against a scope defined before the work begins.
When founders hire me for this
Growth economics problems tend to surface in one of two ways: the models were never built properly, or the company has outgrown the assumptions it started with.
Common situations
- Forecasting feels made up — no cohort logic, just spreadsheet guesses that change every quarter
- Metrics exist but tell no story — numbers without a connected commercial narrative
- Investor is asking about payback — and you cannot answer with confidence
- NRR or CAC looks wrong — but you are not sure why or where the leak is
- You need to model a pricing move — but there is no unit economics baseline to reason from, and the cost structure for compute, hardware, or sensing is complex
- Board deck needs stronger growth economics — the numbers are there but the story is not
What we can work on
The Build focuses on the economics decisions with the highest leverage for your growth stage.
- Define your north star and KPI tree with metric definitions and thresholds your team agrees on
- Build a unit economics model LTV, CAC, payback, and gross margin by segment
- Design cohort-based forecasting logic so your revenue model is built on real retention and expansion assumptions
- Audit your current metrics setup identify data gaps, mismatched definitions, and tracking errors
- Build scenario models for pricing moves, CAC shifts, hiring decisions, and growth bets
- Frame the investor growth narrative connect metrics to commercial story in a way investors can follow
Structured enough to move quickly, rigorous enough to be defensible
01
Audit the baseline
Review existing metrics, data quality, current models, and the business model context that drives your economics.
02
Design the framework
KPI tree and north star, unit economics structure, forecasting logic, and scenario architecture.
03
Build the models
Unit economics model, rolling forecast workbook, scenario logic, and KPI definitions your team will use.
04
Hand off and plan
Full readout, team walkthrough, 30-day plan, and a follow-up call to pressure-test implementation.
Typical scope: 1–2 weeks, depending on complexity and data quality.
Why founders hire me for this work
I operate the same kind of company I advise — COO of an infrastructure data platform, building diligence-ready models against real cost floors. The goal is always the same: economics that inform decisions, not reports that sit in a folder.
Frequently asked questions
01Should I start with the Diagnostic or the Build?
02How do I start?
03We have almost no data. Will this still work?
04Do I need the Pricing & Monetization Build before this one?
05How long does the Build take?
Ready to build the economics foundation?
Start with a free one-page diagnostic note. You see how I think before anything is paid — and we move into the Build intelligently once the direction is set.