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Cohort analysis is a method of analyzing customer behavior by grouping people who share a common characteristic at a specific point in time — most commonly, the month they made their first purchase — and then tracking what that group does over subsequent time periods. Instead of looking at all customers as one aggregate, cohort analysis lets you see how different groups of customers behave differently based on when they joined, where they came from, or what they first bought.
Aggregate metrics like overall retention rate or average order value hide important truths. Cohort analysis surfaces them. Without it, you might look at a 35% repeat purchase rate and feel satisfied — but a cohort analysis might reveal that customers acquired in Q4 (during a sale) have a 15% repeat rate, while customers acquired in Q1 have a 55% repeat rate. This tells you that discounted acquisition produces low-loyalty customers, and organic/referral acquisition produces high-loyalty ones — a finding that could transform your marketing budget allocation.
For D2C brands spending ₹50-₹200 on paid ads per customer, understanding which acquisition cohorts generate the best 12-month revenue is the difference between profitable growth and a scaling loss.
Sugar Cosmetics tracks acquisition cohorts by channel: paid social, influencer code, organic search, and direct. Their cohort analysis found that influencer-code customers had significantly higher 6-month LTV than paid social customers, even though the influencer CPC looked higher on the surface. The influencer cohort bought more frequently and spent more per order — qualities that only become visible when you track groups over time rather than looking at first-purchase metrics alone. This insight shifted their influencer spend from "awareness" budget to "acquisition" budget.
When running A/B tests, cohort analysis helps you evaluate long-term impact rather than just immediate conversion rate. A variant that shows higher initial conversion might produce customers with lower LTV. Tracking test cohorts over 90-180 days gives you a complete picture of which experience actually generates more revenue.
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