Cohort Analysis
A method of grouping users by a shared characteristic or time period and tracking their behavior over time.
Why It Matters
Cohort analysis reveals retention trends and lifecycle patterns that aggregate metrics hide, helping you understand long-term user value.
How It Works
Users are grouped into cohorts — typically by acquisition date (e.g., "signed up in January"). You then track how each cohort behaves over subsequent weeks or months, comparing retention, revenue, or engagement across cohorts.
Real-World Example
A SaaS company discovers that users acquired via content marketing retain 30% better after 90 days than paid search users, shifting budget accordingly.
Common Mistakes
Only looking at acquisition cohorts and ignoring behavioral cohorts
Drawing conclusions from cohorts that are too small for statistical reliability
Related Terms
A report that shows the step-by-step progression of users through a defined conversion path, highlighting drop-offs at each stage.
The process of assigning credit to the marketing touchpoints that contributed to a conversion.
A group of user interactions on your website that occur within a defined time window, typically ending after 30 minutes of inactivity.
Cohort Analysis FAQs
What is the most common type of cohort analysis?
Acquisition cohorts grouped by signup week or month, tracking retention or revenue over time.
Can you do cohort analysis in GA4?
Yes, GA4 has a built-in Cohort Exploration in the Explore tab that lets you define cohort criteria and track metrics over time.
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