cohort-analysis

Analyze time-based cohort data to measure retention and behavior across groups.

351|70|Updated Jan 11, 2026

Search Tags:#analytics #time-series #lifecycle #retention #segmentation #cohort

Ready to run

npx skills add https://github.com/nimrodfisher/data-analytics-skills --skill cohort-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cohort-analysis
Source: https://github.com/nimrodfisher/data-analytics-skills/tree/main/03-data-analysis-investigation/cohort-analysis
Command: npx skills add https://github.com/nimrodfisher/data-analytics-skills --skill cohort-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cohort analysis helps you understand how groups of users behave over time, revealing retention patterns, lifecycle dynamics, and feature adoption that drive growth.

Core Features & Use Cases

Time-based cohort grouping to compare retention across signup dates, channels, or plans.
Visualization-ready metrics such as retention curves, churn rates, and feature adoption.
Use Case: SaaS onboarding analysis to identify when new users drop off and which cohorts require targeted improvements.

Quick Start

Provide a dataset with user IDs and timestamps, define how to group cohorts, and I will generate cohort retention tables and charts.

Frequently Asked Questions about cohort-analysis

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

FAQPage Schema

How do I analyze user retention across different signup cohorts?▼

Cohort analysis groups users by signup date or channel to measure retention over time intervals. It outputs retention tables and lifecycle insights to reveal behavior patterns and drop-off points for SaaS, mobile, and web apps.

What data do I need to generate cohort retention tables?▼

Generating cohort retention tables requires event-level user data with clear timestamps, user IDs, and defined cohort groupings. You provide this dataset to measure behavior and output visualization-ready retention curves and churn rates.

Can I compare retention by acquisition channel for my web app?▼

You can compare retention by acquisition channel for web apps using time-based cohort grouping. Segment users by channel or plan to measure behavior over daily, weekly, or monthly intervals to identify targeted improvements.

What is the best way to identify when new SaaS users drop off?▼

The best way to identify SaaS user drop-off is performing onboarding cohort analysis. Grouping users by signup date and tracking feature adoption over time pinpoints exact lifecycle stages requiring targeted improvements.

Does cohort analysis work with daily and monthly time intervals?▼

Cohort analysis works with daily, weekly, and monthly time intervals. It measures time-series retention and behavior across groups by comparing cohorts defined by signup date, channel, or plan over these flexible periods.