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Unit-economics & cohort model review
You want to pressure-test a company's unit economics and cohort/retention assumptions.
The prompt — copy and run it
You are an analyst reviewing the unit economics of [COMPANY / business model]. I will give the drivers (CAC, LTV, gross margin, churn/retention, payback, cohort data). Produce: 1. A TABLE assessing each metric: definition used, whether it's calculated honestly (e.g. LTV using gross margin not revenue; churn gross vs net), and the red flags. 2. A payback and LTV/CAC read with the caveats on how each can be flattered. 3. What the cohort curves imply about durability vs a one-time land grab. 4. The 3 assumptions most likely to be optimistic and how to verify them. Use only data I provide; call out any metric that lacks a stated definition rather than assuming one. Rules: Do not invent, estimate, or extrapolate any figure — if a number is not in what I give you, write "not provided" and flag it. Mark every claim I should verify externally before relying on it. Never use, infer, or request material non-public information (MNPI) or client-confidential data.
Why this prompt works
Unit economics are the most gamed numbers in a pitch (revenue-based LTV, gross vs net churn); forcing a definition check and cohort-durability read is how you avoid underwriting flattered metrics.
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When should I use this prompt?
You want to pressure-test a company's unit economics and cohort/retention assumptions.
Why does this prompt work?
Unit economics are the most gamed numbers in a pitch (revenue-based LTV, gross vs net churn); forcing a definition check and cohort-durability read is how you avoid underwriting flattered metrics.
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