Digital marketing term
Cohort Analysis
Cohort Analysis is a method of comparing the behavior of groups of users who engaged with a brand within the same time period or around the same event, such as signup or first purchase, over time.
Detailed explanation
This method, for example, compares the three-month retention rate of users who signed up in January against those who signed up in February, revealing the actual impact of product or campaign changes.
Looking at overall user averages can be misleading, since groups that joined at different times can behave differently; group-based analysis surfaces these hidden differences and makes it easier to understand the root cause of metrics like churn rate.
E-commerce and SaaS companies frequently use this analysis to objectively measure the impact of product updates or marketing campaigns on customer loyalty.
Frequently asked questions
- What questions does cohort analysis answer?
- It shows how a group of users who joined during a specific period behaved over time and whether their retention rate changed.
- How does cohort analysis relate to churn rate?
- Group-based tracking shows which signup period's users leave faster, helping identify the root cause of churn rate.
Related terms
Internal links for the topic cluster — read these concepts together.
- Churn RateChurn Rate is the metric that expresses the percentage of customers who stop using a brand's service or product within a given period; it's a critical indicator of sustainable growth in subscription-based businesses.
- LTV (Customer Lifetime Value)LTV is the estimated total revenue a customer will generate for a company over the course of their relationship with the brand; it's a core metric for evaluating long-term marketing return.
- Repeat Purchase RateRepeat Purchase Rate measures the share of customers who have previously purchased from a brand at least once and go on to make another purchase within a given period.
- EngagementEngagement is a broad metric that captures the total of a user's active interactions with a brand's content — likes, comments, shares, clicks, and similar actions — and is used to evaluate content performance.