cohort-analysis

Analyze customer retention and lifetime value across user cohorts over time.

3|2|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/brainbytes-dev/everything-claude-marketing --skill cohort-analysis-brainbytes-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cohort-analysis
Source: https://github.com/brainbytes-dev/everything-claude-marketing/tree/main/skills/analytics/cohort-analysis
Command: npx skills add https://github.com/brainbytes-dev/everything-claude-marketing --skill cohort-analysis-brainbytes-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you understand how customer behavior changes over time, identify retention patterns, and estimate customer lifetime value (LTV).

Core Features & Use Cases

  • Retention Analysis: Track how many users from a specific cohort (e.g., acquired in January) are still active in subsequent periods (e.g., Month 1, Month 2).
  • LTV Estimation: Calculate the average revenue generated by a cohort over its lifecycle.
  • Behavioral Analysis: Group users by actions they take to see how behavior impacts retention.
  • Use Case: Analyze if users who complete onboarding within their first week retain significantly better than those who don't, informing product improvements.

Quick Start

Use the cohort-analysis skill to analyze customer retention for users acquired last quarter.

Frequently Asked Questions about cohort-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track customer retention for different acquisition periods?

Customer retention tracking groups users into cohorts by acquisition period to analyze active usage in subsequent months. This evaluates acquisition channel quality and identifies behavioral patterns over the user lifecycle.

How does cohort analysis calculate customer lifetime value?

Cohort analysis calculates customer lifetime value by aggregating average revenue generated by a specific user cohort over its lifecycle. This provides statistical interpretation of user lifecycle metrics for SaaS and e-commerce businesses.

Can I analyze user behavior impact on churn for a SaaS business?

Yes, you can analyze user behavior impact on churn by grouping users based on specific actions like onboarding completion. This reveals how behavioral patterns within a SaaS user cohort affect customer retention and product engagement.

What data do I need to estimate LTV for an e-commerce cohort?

Estimating LTV for an e-commerce cohort requires user acquisition data and historical revenue records. The analysis aggregates this data to measure behavioral patterns and calculate lifetime value statistically over time.

What is the best way to evaluate marketing campaign effectiveness using user behavior?

Evaluating marketing campaign effectiveness is best done by applying cohort analysis to track user behavior and retention metrics post-acquisition. This compares long-term engagement and lifetime value across different campaign cohorts.