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indranilbanerjee
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cohort-analysis

Analyze customer cohorts to produce retention matrices and LTV curves.

726|123|Updated Feb 11, 2026
Search Tags:#analytics#crm#retention#cohorts#cohort-analysis#ltv
One-click install
npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill cohort-analysis-indranilbanerjee
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cohort-analysis
Source: https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/cohort-analysis
Command: npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill cohort-analysis-indranilbanerjee

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze customer cohorts to understand lifecycle patterns, retention, and value over time, enabling data-driven improvements in onboarding, messaging, and product engagement.

Core Features & Use Cases

  • Cohort segmentation by acquisition date, channel, behavior, or value tier to reveal how different customer groups behave over time.
  • Retention matrix & visualizations to compare across cohorts and time intervals, highlighting where churn slows or accelerates.
  • LTV, payback, and health metrics to quantify value by cohort and identify best/worst performing segments with actionable drivers.
  • Real-world example: A SaaS business compares weekly sign-up cohorts to 12-month retention and revenue per customer to optimize onboarding and pricing.

Quick Start

Define cohorts by acquisition date or channel, connect CRM and analytics data, and run the analysis to view retention and LTV trends.

Frequently Asked Questions about cohort-analysis

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

FAQPage Schema
What is cohort analysis and how does it help measure customer retention?▼

Cohort analysis groups customers by acquisition date or behavior to track lifecycle patterns and retention over time. It produces a retention matrix showing where churn slows or accelerates across different segments.

How do I calculate LTV and payback period for different customer cohorts?▼

To calculate LTV and payback by cohort, segment customers by acquisition channel or value tier, then analyze revenue per customer over time. This generates LTV curves and health metrics quantifying value for each segment.

Can I use cohort analysis for my SaaS or ecommerce subscription business?▼

Yes, cohort analysis applies directly to SaaS, ecommerce, and subscription businesses. You can compare sign-up cohorts to long-term retention and revenue metrics to optimize onboarding, messaging, and pricing.

What data do I need to perform cohort retention analysis?▼

Cohort retention analysis requires data from CRM, analytics, and product usage sources. You need customer acquisition dates, behavioral data, and revenue figures to generate accurate retention matrices and LTV curves.

How do I segment customers into cohorts by channel and behavior?▼

Segment customers by acquisition date, channel, behavior, or value tier to reveal how different groups behave over time. This segmentation highlights best and worst performing cohorts with actionable drivers.

What is the best way to compare cohort retention across time intervals?▼

The best way to compare cohort retention is using a retention matrix that visualizes cohorts across consistent time intervals. This highlights where churn slows or accelerates and identifies lifecycle pattern differences.

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