Cohort Retention Analysis Builder

Pro v1.0.0 1 view

Build cohort retention analysis from user event data. Generate retention tables, visualizations, key metrics (D1, D7, D30), and actionable insights for product and growth teams.

What You Get

Transform raw CSV event data into comprehensive cohort retention analysis with automated calculations, visualizations, and recommendations in minutes.

The Problem

Analyzing user retention patterns across cohorts requires complex SQL queries or tedious Excel pivoting. Building retention tables manually is error-prone, and interpreting the results to find actionable insights demands statistical expertise that product managers and growth teams may lack.

The Solution

This skill transforms raw CSV event data into comprehensive cohort retention analysis. It validates data quality, assigns users to cohorts by signup date, and calculates retention rates at each time period. The included Python script generates retention curve visualizations and color-coded heatmaps, identifies high and low-performing cohorts with statistical flagging, and detects trends over time. The skill provides interpretation explaining what patterns mean and offers specific recommendations for improving retention based on the data.

How It Works

  1. 1 Validate and load CSV data with user_id, signup_date, and event_date columns
  2. 2 Configure analysis parameters: cohort period (daily/weekly/monthly) and tracking duration
  3. 3 Run Python script to build retention table with percentages for each cohort over time
  4. 4 Calculate key metrics including D1, D7, D30 averages and trend direction
  5. 5 Generate retention curve line chart and color-coded heatmap visualizations
  6. 6 Identify anomalies: cohorts performing significantly above or below average
  7. 7 Receive interpretation with key findings, root cause hypotheses, and actionable recommendations

What You'll Need

  • CSV file with user identifier, cohort date, and activity event date columns
  • Python 3.7+ with pandas, numpy, matplotlib, and seaborn installed
  • Minimum 3 cohorts and 100+ users per cohort for reliable analysis

Get This Skill

Requires Pro subscription ($9/month)

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