Cohorts beat blended churn in a seed model

A single churn percentage looks tidy. It also hides the month your early customers started leaving.

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Blended churn mixes cohorts that behave differently. Early adopters, first paid users, and later channels rarely retain the same way. Diligence will ask which group you measured.

Show the curve, not the average. Cohort by signup month. Retention curves instead of a single rate. Hiring and CAC tied to the same months. Three scenarios that move the same levers.

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What a seed model should show

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Five years monthly. Three statements linked. Cohorts you can explain in the room. Scenarios that stay consistent when you change one input.

Replace the blended churn cell before you send the model. Investors notice when logo retention and revenue retention tell different stories.

Logifx builds the workbook with cohorts and scenarios so you can stress base, upside, and downside without rewriting the sheet.

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Why blended numbers break

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A single churn percentage looks cleaner in a slide. It also averages away the cohort that started leaving in month four. That is the cohort diligence digs into first.

Keep the hiring plan and CAC on the same monthly spine as retention. When those move together, the model answers follow-up questions without a rebuild.

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Where this sits in Brief

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Model is the main tier before a first raise. Market sizing feeds the top of the workbook. Map adds the ranked investor list when you are running a round.

Walk into diligence with cohorts visible. The blended number can stay on a backup slide. The curve is what you defend.