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.
Measures product value over time by cohort. Plot curves, not just a single number.
Aim for flattening retention curves by month 3–6; compare by ICP and channel.
M3 retention 68%, M6 61%, M9 59% → curve flattening indicates durable value.
Mixing logo and revenue retention; not excluding inactive trials; seasonality misreads.
Traction slide: cohort curve chart with 6–12 cohorts; annotate first value moment.
Cohorts flatten by M3–M6; M6 retention ~61%.
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