Analyzes revenue cohorts, retention curves, LTV/CAC trends over time
Analyzes customer cohorts to measure retention and unit economics trends.
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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.
Input: Revenue data by customer and month
Process: Build cohort matrix, calculate retention
Output: Cohort analysis, NRR by cohort, visualizations
Input: Customer data with start dates and activity
Process: Calculate retention by period since acquisition
Output: Retention curves, benchmark comparisons
Input: Revenue cohorts, CAC data, time horizon
Process: Calculate LTV, LTV/CAC, payback
Output: Unit economics summary, trend analysis
Input: Multi-period cohort data
Process: Analyze quality trends, flag concerns
Output: Trend analysis, quality assessment
| Metric | Calculation | Target Range |
|---|---|---|
| NRR (Net Revenue Retention) | (Start + Expansion - Churn) / Start | 100-130%+ |
| GRR (Gross Revenue Retention) | (Start - Churn) / Start | 85-95%+ |
| LTV/CAC | Lifetime Value / Customer Acquisition Cost | 3x+ |
| Payback Period | Months to recover CAC | 12-18 months |
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