Cohort Retention Table Generator
Generate cohort retention matrices from simple inputs. Track how different user groups retain over time and identify your best-performing cohorts.
Ready to Analyze Cohort Retention
Enter your cohort data to generate a retention table. Track how different user groups retain over time and identify your best-performing cohorts.
Define Cohorts
Add cohorts by signup month, campaign, or any grouping
Enter Retention Data
Input active user counts or retention percentages per period
Analyze Patterns
View retention curves, heatmaps, and identify best cohorts
Understanding Cohort Retention Analysis
What is Cohort Retention?
Cohort retention analysis tracks how groups of users (cohorts) who share a common characteristic - typically their signup date - remain engaged with your product over time. Unlike aggregate metrics that can be misleading, cohort analysis reveals the true health of your user base by showing how specific groups behave as they age.
Key Concepts
- CCohort:A group of users who share a common attribute, usually signup date (e.g., "January 2024 signups")
- PPeriod:The time interval for measuring retention (Day 1, Week 1, Month 1, etc.)
- RRetention Rate:Percentage of the original cohort still active at a given period
- 0Period 0:The starting point (100% by definition - the cohort just formed)
Reading the Retention Table
The retention table (also called a cohort triangle) shows:
- *Rows: Each cohort (e.g., signup month)
- *Columns: Time periods since cohort start
- *Cells: % of original cohort still active
- *Colors: Green = high retention, Red = low retention
Why Cohort Analysis Matters
Reveals True Trends
Growing user counts can mask declining retention. Cohort analysis shows whether your product is actually improving.
Identifies Best Cohorts
See which acquisition channels, product versions, or time periods produce the most engaged users.
Highlights Drop-off Points
Identify critical periods where users churn. Is it Day 1? Week 1? Month 3? Focus your retention efforts accordingly.
Typical Retention Patterns
Industry Benchmarks
Retention varies dramatically by product type. Very rough ranges:
- * Mobile Apps: 20-30% Day 30 is good
- * SaaS B2B: 80-90% annual retention is strong
- * Consumer Subscriptions: 60-70% annual retention is healthy
- * Social Apps: 10-15% Day 30 is typical
Note: These are rough guidelines. Your benchmark depends on your specific market, product type, and business model.
Frequently Asked Questions
In 'counts' mode, you enter the actual number of active users at each period (e.g., 850 users active in Month 1). The tool calculates retention percentages for you. In 'percents' mode, you directly enter retention percentages (e.g., 85% retained in Month 1). Use counts if you have raw data; use percents if you've already calculated retention rates.
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