Cohort Analysis
Cohort Analysis cohort analysis is a method of analyzing customer behavior by grouping users based on when they started—their 'cohort'—rather than looking at all customers as a single mass.
In SaaS businesses, cohort analysis reveals how different groups of customers perform over time, uncovering insights hidden by aggregate metrics.
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How Cohort Analysis Works
Cohort analysis allows businesses to track how specific groups of customers behave over time, providing a more nuanced view of performance than overall averages. By isolating customers who started at the same time, companies can identify trends in retention, revenue, and customer value.
The method is particularly powerful in SaaS and subscription businesses, where understanding customer lifecycle is critical. It helps reveal whether a company is improving its product, customer experience, or struggling to maintain customer loyalty.
By comparing cohorts, businesses can uncover actionable insights about customer segments, product iterations, and long-term business health that would be invisible in aggregate metrics.
Key Points
- •Separates customer groups by start date to reveal true performance trends
- •Tracks both customer and revenue retention across different cohorts
- •Exposes differences in customer segments and product performance
- •Provides leading indicators of business health and trajectory
- •Helps identify optimal customer acquisition and retention strategies
Frequently Asked Questions
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