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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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Reality guardrail: this prompt makes the model reason from data you paste — it does not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

Frequently asked

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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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.