Cohort Analysis
Analyzing groups of customers who share a common characteristic to understand behavior patterns.
1 min readLast updated Apr 2026
Quick Reference
CategoryAnalytics & Tracking
Related Terms1
Analyzing groups of customers who share a common characteristic to understand behavior patterns.
Why It Matters
Cohort analysis reveals whether your business is actually improving or if aggregate metrics hide decay. Are customers acquired this quarter more or less valuable than last quarter? Is retention improving? Cohorts answer these questions by comparing like with like.
Practical Example
Scenario
A subscription brand compares 12-month retention across quarterly acquisition cohorts.
Calculation
Q1 cohort: 28% retention at 12 months. Q2: 32%. Q3: 38%. Q4: 41%. Each cohort started with similar numbers but Q4 customers are 46% more likely to stayResult
The improvement correlates with onboarding email flow changes in Q2—validating the investment and identifying best practices to amplify.
Pro Tips
- 1Cohort by acquisition date to track if customer quality is improving or declining
- 2Cohort by acquisition channel to identify which channels bring the best customers
- 3Look at revenue per cohort over time, not just retention
- 4Compare cohorts at the same 'age' (30 days, 90 days, etc.) for valid comparison
Common Mistakes to Avoid
Only looking at aggregate retention (masks cohort-level trends)
Comparing cohorts at different ages (unfair comparison)
Not acting on cohort insights—data without action is pointless