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Churn Analysis Template for Product Analytics
A churn analysis template for product teams. Covers churn reason taxonomy, exit survey design, cohort analysis, save playbook, and winback strategy...
Updated 2026-03-04
Churn Analysis
| # | Metric | Target | Current | Progress % | Owner | Status | |
|---|---|---|---|---|---|---|---|
| 1 | 140 | ||||||
| 2 | 98 | ||||||
| 3 | 84 | ||||||
| 4 | 75 | ||||||
| 5 | 75 |
#1
140
#2
98
#3
84
#4
75
#5
75
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Frequently Asked Questions
What is the difference between logo churn and revenue churn?+
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.
How many responses do we need for exit survey data to be actionable?+
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.
Should we try to save every churning customer?+
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.
When should we offer discounts to prevent churn?+
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.
How do we reduce early churn (first 90 days)?+
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. ---
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