Analytics

Cohort Analysis

A method of analyzing user behavior by grouping users who share a common characteristic, such as acquisition date, first purchase channel, or geographic region, during a specific time period. By tracking each cohort separately, marketers can identify trends in retention, revenue, and engagement over time rather than relying on aggregate metrics that obscure important changes. Cohort analysis is commonly visualized as a retention table where each row represents a cohort and columns show performance in subsequent periods.

Why It Matters

Cohort analysis reveals whether your business is truly improving over time by comparing how different groups of customers behave. Without it, overall metrics can mask declining retention or the diminishing quality of newly acquired customers. It is especially valuable for subscription businesses, SaaS products, and e-commerce brands where customer lifetime value depends on repeat engagement. By comparing acquisition cohorts, teams can measure the real impact of product changes, pricing experiments, and marketing campaigns on long-term customer value rather than just initial conversions.

Example

A subscription service groups customers by signup month and tracks monthly retention rates. The January cohort retains 40% of subscribers after six months, but the March cohort retains only 25%. Investigating the difference reveals that a pricing change introduced in February hurt long-term retention. The team rolls back the price increase for new signups, and the May cohort recovers to 38% six-month retention, confirming the pricing hypothesis.

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