Introduction

Cohort analysis is the practice of grouping users (cohorts) who share a characteristic, then comparing their behavior over time. It's the foundation for understanding retention, identifying where users drop off, and measuring the impact of product changes.

What Is Cohort Analysis

A cohort is a group of users who share a defining characteristic, created or identified at a specific point in time.

Example: "Users who signed up in July 2026" is a cohort. Track their retention weekly:

• Week 1: 100% returned (10,000 users)
• Week 2: 65% returned (6,500 users)
• Week 4: 35% returned (3,500 users)
• Week 8: 20% returned (2,000 users)

Types of Cohorts

• Time-based: Signed up in July, June, May (most common)
• Behavior-based: Completed onboarding, tried feature X, paid user
• Demographic: iOS vs Android, country, company size
• Revenue-based: Top 20% by LTV, free users, paid users

Step-by-Step Guide

1. Choose cohort definition: "Users who signed up on July 1-7, 2026"

2. Choose return event: "Session start" or "Used feature X"

3. Choose time intervals: Day 1, 2, 3, 7, 14, 30

4. Analyze: In Amplitude or Mixpanel, create retention table

5. Compare: Compare this cohort vs previous cohorts. Better or worse retention?

Interpret Cohort Data

Steep decline: 60% → 20% by Day 7. Onboarding or core feature adoption issue.

Moderate decline: 60% → 40% by Day 7. Normal; focus on Days 7-14.

Flat line after Day 7: 40% → 38% by Day 30. Strong product-market fit; long-term users are sticky.

Real-World Examples

Example 1: July cohort has 35% Day 7 retention, June cohort has 25%. July was better—why? New onboarding flow launched. Replicate it.

Example 2: iOS cohort has 40% Day 7, Android has 20%. Android onboarding broken? SDK issue? Investigate.

Conclusion

Cohort analysis reveals patterns. Compare cohorts, identify winners, investigate losers. Use cohort insights to improve onboarding, feature adoption, and retention.

Related Analytics Resources

• Retention Curves: Mobile vs Web — visualize cohort retention trends
• User Cohorts & Data-Driven Personalization — use cohorts for targeted campaigns
• Churn Prediction Using Product Analytics — predict churn by cohort

Ready to run cohort analysis? AppStorys helps you segment and measure cohort performance with targeted campaigns. Book a demo.