MarketingMeasurement & AnalyticsUpdated 2026.04.28

Cohort Analysis

Also known as코호트 분석

In one line

Cohort analysis groups users by a shared starting characteristic — usually signup week — and tracks their behaviour over time so you can see how each cohort evolves.

Going deeper

Cohort analysis groups users by something they share at the start — signup week, acquisition channel, first action — and tracks how each group behaves over time. A single aggregated number blends all cohorts together; cohorts pull the real movement back into view.

The most useful version is the retention cohort chart. Stack signup weeks down the rows and 1-, 2-, 4-, 8-week retention across the columns, and you can immediately see whether new cohorts are retaining better after a product change. A single average can't show that.

Cohort size matters. If a weekly cohort has fewer than ~50 users, noise dominates and you should usually fall back to monthly cohorts. In low-volume B2B contexts, cohort analysis can hit a hard floor where qualitative review becomes more useful than the chart.

Related terms

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