cohort-analyzer

Solid

Analyzes revenue cohorts, retention curves, LTV/CAC trends over time

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Cohort Analyzer ## Overview The Cohort Analyzer skill provides systematic analysis of customer and revenue cohorts to understand retention patterns, lifetime value trends, and business health over time. It enables deep understanding of unit economics evolution and customer quality. ## Capabilities ### Revenue Cohort Analysis - Track revenue by acquisition cohort - Analyze net revenue retention (NRR) by cohort - Measure expansion, contraction, and churn - Identify cohort quality trends over time ### Retention Curve Analysis - Build and visualize retention curves - Compare retention across cohorts - Calculate retention benchmarks by segment - Identify retention inflection points ### LTV/CAC Analysis - Calculate LTV by cohort and segment - Track CAC trends over time - Analyze LTV/CAC ratio evolution - Model payback period by cohort ### Segment Analysis - Segment cohorts by customer type - Analyze channel-specific cohort quality - Compare enterprise vs. SMB retention - Identify highest-value customer segments ## Usage ### Analyze Revenue Cohorts ``` Input: Revenue data by customer and month Process: Build cohort matrix, calculate retention Output: Cohort analysis, NRR by cohort, visualizations ``` ### Build Retention Curves ``` Input: Customer data with start dates and activity Process: Calculate retention by period since acquisition Output: Retention curves, benchmark comparisons ``` ### Calculate Unit Economics ``` Input: Revenue cohorts, CAC data, time horizon Pro...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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