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GLOSSARY

Cohort retention

Cohort retention tracks the percentage of users or customers from a specific signup cohort who remain active at successive time intervals (Day 7, Month 1, Month 3, Month 6, etc.). Unlike aggregate retention, cohort analysis reveals whether your product is improving over time by comparing how newer cohorts retain versus older ones. Flattening retention curves are a strong signal of product-market fit.

Usage

Measures product value over time by cohort. Plot curves, not just a single number.

Benchmarks

Aim for flattening retention curves by month 3–6; compare by ICP and channel.

Worked example

M3 retention 68%, M6 61%, M9 59% → curve flattening indicates durable value.

Common pitfalls

Mixing logo and revenue retention; not excluding inactive trials; seasonality misreads.

How to show in your deck

Traction slide: cohort curve chart with 6–12 cohorts; annotate first value moment.

Deck snippet

Cohorts flatten by M3–M6; M6 retention ~61%.

Formulas

Cohort retention (Dx/Mx)
(Active users from cohort at time T) / (Users in cohort at start)

Frequently asked questions

Related terms

NDRChurn

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Activation rateMagic number