Cohort Analysis

Cohort analysis groups customers by shared characteristics and tracks their behavior over time. Unlike aggregate metrics that blend all customers together, cohort analysis reveals patterns hidden in averages.

What Is a Cohort?

A cohort is a group of people who share a common experience within a defined time period. Common cohort definitions include:
  • Acquisition cohorts: Customers who made their first purchase in the same month
  • Behavioral cohorts: Customers who performed a specific action (downloaded an app, attended a webinar)
  • Campaign cohorts: Customers who responded to the same marketing campaign

Why Cohort Analysis Matters

Aggregate metrics mislead. If your total customer count grows, you might assume health. But cohort analysis might reveal that newer customers churn faster than older ones. Without cohort analysis, you miss this critical warning.
Cohort analysis answers questions like:
  • Do customers acquired through paid ads stay as long as organic customers?
  • Did our product update improve or hurt retention?
  • Are newer cohorts more or less valuable than older ones?
  • Which acquisition channels produce the most loyal customers?

How to Read a Cohort Table

A cohort table displays groups (cohorts) across rows and time periods across columns. Each cell shows the percentage of that cohort still active at that time period.

Example: A retention cohort table for a subscription business

Cohort Month 0 Month 1 Month 2 Month 3 Month 6
Jan 2026 100% 75% 60% 50% 35%
Feb 2026 100% 70% 55% 45% —
Mar 2026 100% 65% 50% — —
Reading this table:
  • The January cohort started with 100% and retained 35% by month 6
  • Each subsequent cohort performs worse than the previous one
  • This declining pattern signals a problem requiring investigation

Applications of Cohort Analysis

Retention Analysis: Track how long customers from each acquisition period remain active. Identify whether retention is improving or declining.

Revenue Analysis: Compare revenue per cohort over time. Determine whether newer customers spend more or less than older ones.

Channel Comparison: Compare cohorts by acquisition source. Discover which channels produce the most valuable long-term customers.

Campaign Evaluation: Assess whether customers acquired during specific promotions behave differently from organically acquired customers.

 
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