Cohort Analysis
Track and analyze user cohorts over time, calculate retention rates, and identify behavioral patterns for customer lifecycle and retention analysis
npx skills add majiayu000/claude-skill-registry --skill cohort-analysis-aj-geddes-useful-ai-prompts --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Cohort Analysis ## Overview Cohort analysis tracks groups of users with shared characteristics over time, revealing patterns in retention, engagement, and lifetime value. ## When to Use - Measuring user retention rates and identifying when users churn - Analyzing customer lifetime value (LTV) and payback periods - Comparing performance across different user acquisition channels or campaigns - Understanding how product changes affect different user groups over time - Tracking engagement patterns and identifying early warning signs of churn - Evaluating the long-term impact of onboarding improvements or feature releases ## Core Concepts - **Cohort**: Group of users sharing a characteristic (signup date, region, etc.) - **Cohort Size**: Initial group size - **Retention Rate**: Percentage remaining active - **Churn Rate**: Percentage who left - **Retention Curve**: How cohort degrades over time ## Cohort Types - **Acquisition Date**: Users grouped by signup period - **Behavioral**: Users grouped by actions taken - **Revenue**: Users grouped by purchase value - **Geographic**: Users grouped by location - **Demographic**: Users grouped by characteristics ## Implementation with Python `
- Overview
- When to Use
- Core Concepts
- Cohort Types
- Implementation with Python
- Key Metrics
- Insights to Look For
- Deliverables
What does the Cohort Analysis skill do?
Track and analyze user cohorts over time, calculate retention rates, and identify behavioral patterns for customer lifecycle and retention analysis
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill cohort-analysis-aj-geddes-useful-ai-prompts --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.