Churn Analysis Template for Product Analytics

Logo churn counts the number of accounts that cancel, regardless of their revenue. Revenue churn measures the dollar value of lost subscriptions. A company can have high logo churn (many small accounts leaving) but low revenue churn (large accounts staying and expanding). Track both. Logo churn tells you about product-market fit breadth. Revenue churn tells you about business health. The [churn rate glossary entry](/glossary/churn-rate) explains the formulas.

50+ responses give you directionally useful data. 100+ responses give you reliable percentage breakdowns by reason category. If your monthly churn volume is below 50, aggregate over 2-3 months before drawing conclusions. The key is consistency: always show the survey, always track the results, and review the aggregate quarterly even if individual months have small samples.

No. Focus save efforts on preventable churn from customers who fit your ideal customer profile. Customers who never activated need onboarding help, not a discount. Customers who left because the company closed are not saveable. Customers on your cheapest plan who want enterprise features may not be worth the CS investment. Prioritize save efforts by [annual contract value](/glossary/prioritization) and churn reason.

Only when the churn reason is price-related and the customer is otherwise healthy (they use the product, they are in your ICP, they have been a customer for 3+ months). Discount offers for customers who never activated are a waste: the problem is value delivery, not price. Discount offers for customers switching to a competitor should be paired with a feature comparison, not offered in isolation.

Early churn is almost always an onboarding problem. The [onboarding flow template](/templates/onboarding-flow-template) covers the full onboarding design process. The three highest-impact interventions are: better empty states (templates and sample data instead of blank screens), personal onboarding outreach at Day 3 and Day 7 for non-activated users, and reducing time-to-first-value by removing unnecessary setup steps. Fix activation first. Early churn follows. ---