Cohort Analysis
An analytical technique that groups users by a shared characteristic over time to identify behavioral patterns.
In Depth
Cohort analysis is a subset of behavioral analytics that divides users into groups (cohorts) based on shared characteristics—typically the time of their first action (e.g., signup month)—and tracks their behavior over subsequent time periods. This reveals patterns that aggregate metrics obscure: for example, overall retention might appear stable while specific cohorts are churning faster. Cohort analysis is essential for understanding user lifecycle, measuring feature impact, evaluating marketing campaigns, and forecasting revenue. Common cohort types include acquisition cohorts (by signup date), behavioral cohorts (by actions taken), and segment cohorts (by demographics).
How AI for Database Helps
Ask AI for Database "Show me retention by signup month" and get an instant cohort analysis table with no SQL required.
Related Terms
Retention Analysis
The measurement of how many users continue to use a product or service over time.
Churn Rate
The percentage of customers or subscribers who stop using a product or service during a given time period.
Funnel Analysis
A method of tracking and analyzing the sequential steps users take toward a desired conversion or goal.
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