Cohort Analysis
This handles cohort analysis for tracking user groups over time, focusing on retention, churn, and lifetime value metrics. You'd reach for it when comparing acquisition channels, measuring how product changes affect different user segments, or spotting early churn signals. It's part of aj-geddes's useful-ai-prompts collection, which has solid traction at 245 stars and passes all security audits. The skill covers the standard cohort playbook: retention curves, LTV calculations, and cohort comparison tables. It's straightforward analysis work, nothing fancy, but that's exactly what you need when stakeholders want to know which user groups are sticking around and why.
- GitHub stars
- 317
- last updated
- Aug 21, 2026
Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill 'Cohort Analysis' --agent claude-codeInstalls into .claude/skills of the current project.
Files
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
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- Repository
- github.com/aj-geddes/useful-ai-prompts
- Category
- AI & Agent Building
- First seen
- Jun 3, 2026
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