Break Down Unit Economics: CAC, LTV, and Payback
Calculates and interprets CAC, LTV, LTV:CAC, and payback period from acquisition and retention inputs.
Unit economics get quoted constantly — CAC, LTV, payback — but the math behind them is easy to muddle, especially when people compare a revenue-based LTV against a gross-margin-based CAC. This prompt forces a clean, auditable calculation where every formula and intermediate number is shown, so you and your reader can see exactly how the result was built. The interpretation layer is what makes it useful beyond a calculator. It tells you whether the numbers look healthy against common benchmarks, which single input the result hinges on, and one lever to pull. That sensitivity callout is the most valuable part: in early-stage models the answer is usually hostage to the churn assumption, and naming that keeps everyone honest. Because LTV depends entirely on an assumed churn rate, the prompt labels it an estimate rather than a realized figure. Use it to pressure-test your economics and to communicate them clearly, not to claim precision you don't have.
You are an expert financial analyst evaluating unit economics for [PRODUCT OR SEGMENT]. Using these inputs — [ACQUISITION SPEND], [NEW CUSTOMERS ACQUIRED], [AVERAGE REVENUE PER CUSTOMER], [GROSS MARGIN PERCENT], and [MONTHLY OR ANNUAL CHURN] — calculate customer acquisition cost (CAC), gross-margin-adjusted lifetime value (LTV), the LTV-to-CAC ratio, and CAC payback period. Show each formula and the intermediate numbers so the math is auditable. Then interpret the results: state whether the economics look healthy against common benchmarks, name the single input the result is most sensitive to, and suggest one lever to improve the weakest metric. Clearly note that LTV depends on the churn assumption and is an estimate, not a realized figure.
What you can expect back
Unit economics — Pro plan (estimates): CAC = $120,000 / 300 = $400 Avg customer lifetime = 1 / 0.03 = ~33 months Gross margin per customer/month = $80 × 80% = $64 LTV (margin-adjusted) = $64 × 33 = ~$2,112 LTV:CAC = $2,112 / $400 = ~5.3x Payback = $400 / $64 = ~6.3 months Interpretation: A ~5x LTV:CAC and ~6-month payback both sit comfortably inside common healthy ranges (LTV:CAC ≥ 3x, payback under 12 months). The result is most sensitive to the 3% monthly churn — at 5% churn, lifetime drops to ~20 months and LTV:CAC falls to ~3.2x. The strongest lever here is retention: a point of churn reduction moves LTV more than a comparable change in CAC. Note: LTV is an estimate driven by the churn assumption, not a realized cash figure.
Illustrative example — your results will vary by tool and inputs.
Get sharper results
- 01State churn on the same basis as your revenue (monthly with monthly ARPA) so the lifetime math doesn't silently mismatch units.
- 02Always use gross-margin-adjusted LTV when comparing to CAC — revenue-based LTV flatters the ratio and isn't comparable.
- 03Ask for a quick table of LTV:CAC at a few churn rates; it's the fastest way to see how fragile a 'healthy' ratio is.
- 04If you blend self-serve and sales-led customers, run them separately — a blended CAC hides which motion actually pays back.
Adapt it for your case
Provide retention by cohort month and ask it to estimate LTV from the actual retention curve instead of a flat churn rate.
Drop LTV and ask for a detailed CAC payback view by acquisition channel to compare efficiency.
Add salaries and tooling to the spend input and ask it to show both blended and paid-only CAC.
Common questions
Why does LTV swing so much?
Because lifetime is roughly 1/churn, small churn changes move it a lot. That's why the prompt names churn as the sensitive input and labels LTV an estimate — treat it as a planning figure, not a fact.
Should I use revenue or gross profit for LTV?
Gross profit (margin-adjusted), so it's comparable to CAC which is real cash out. Using raw revenue inflates the ratio and isn't a fair comparison.
Can it handle annual contracts?
Yes — state ARPA and churn on an annual basis and it will compute lifetime in years. Just keep all inputs on one consistent time basis.
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