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Tip: Use cohort churn rates to compare different user groups and improve retention tactics.
The churn rate measures the percentage of users who discontinue your service within a specified period. Cohort analysis enables you to isolate specific user groups and identify when and why churn occurs, allowing for targeted improvements.
| Industry | Typical 30-Day Churn Rate (%) |
| SaaS / Software | 5% – 10% |
| Mobile Apps | 20% – 40% |
| E-commerce | 15% – 30% |
| Fintech | 10% – 20% |
| EdTech | 12% – 25% |
Note: Churn rates vary based on business model, product complexity, and customer engagement.
Scenario:
Out of 1,000 users who joined a cohort, 150 churned after 30 days.
Calculation:
Churn Rate = (150 ÷ 1,000) × 100 = 15%
Interpretation:
A 15% churn rate suggests moderate retention challenges needing further investigation.
| Term | Definition |
|---|---|
| Churn Cohort | A group of customers who churned during the same defined period, analysed together to identify common patterns or causes. |
| Churn Rate | The percentage of customers or users who cancel or stop engaging with a product within a defined time period. |
| Revenue Churn | The percentage of recurring revenue lost due to customer cancellations, downgrades, or non-renewals within a period. |
| Gross Churn | The total revenue or customer loss before accounting for any expansion or upsell revenue from existing accounts. |
| Net Revenue Retention (NRR) | The percentage of revenue retained from an existing customer base after accounting for both churn and expansion. |
| Churn by Cohort | The analysis of churn rates across different groups of customers segmented by acquisition period, plan type, or channel. |
| Early Churn | Cancellations that occur within the first 30 to 90 days, often indicating onboarding or product fit issues. |
| Involuntary Churn | Customer loss resulting from failed payments, expired cards, or billing errors rather than deliberate cancellation. |
| Churn Prediction | The use of behavioural data and engagement signals to identify customers at high risk of cancelling before they do. |
| Time to Churn | The average number of days or months between a customer’s first purchase and their eventual cancellation. |






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Answers to Frequently Asked Questions
It’s the percentage of users in a cohort who stop using your service within a specified time frame, such as 30 days.
It helps you understand retention patterns and improve customer success strategies.
Enhance onboarding, improve product value, and maintain personalized user engagement.
Measure churn regularly for new cohorts, typically on a monthly or quarterly basis.
High churn suggests issues with product fit, onboarding, or customer satisfaction.