Cohort Analysis
Tracking groups of users who share a common characteristic over time to understand behavior trends.
Definition
Cohort analysis groups users by their signup date (or another shared characteristic) and tracks their behavior over time. Instead of looking at aggregate metrics that mix new and old users, cohort analysis shows whether each new batch of users performs better or worse than previous batches. Retention cohort charts (showing what percentage of each cohort remains active over months) are the most common form.
Cohort analysis reveals whether your product is improving. If January's cohort retains at 40% after 3 months but April's cohort retains at 55%, your product improvements are working.
Why it matters for founders
Aggregate metrics lie. If you're acquiring users faster than you're losing them, overall metrics look great even if retention is terrible. Cohort analysis reveals the truth about product quality and whether changes are actually improving outcomes.
Example
Slack's famous cohort chart showed that teams who sent 2,000+ messages had nearly 100% retention after 6 months. This cohort insight drove their entire product strategy: get teams past 2,000 messages as fast as possible, and they'll never leave.
How Foundra helps
Foundra's Proof Signals card tracks the metrics that matter for your cohort analysis, helping you understand which user behaviors predict long-term retention.
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Related terms
Churn Rate
The percentage of customers who stop using your product in a given period.
Retention Curve
A graph showing the percentage of users who remain active over time after their first use.
Activation Rate
The percentage of new users who complete a key action that predicts long-term retention.
North Star Metric
The single metric that best captures the core value your product delivers to customers.