saas-cohort-analyzerlisted

# SaaS Cohort Analyzer > Cohort math is the single most truthful lens on a subscription business - this skill makes it defensible. ## What this skill is A repeatable workflow that takes raw subscription data and produces a complete cohort report for a Software as a Service (SaaS) business: retention curves, Lifetime Value (LTV), Customer Acquisition Cost (CAC) payback, Net Revenue Retention (NRR), Gross Revenue Retention (GRR), and the revenue movement bridge. It segments by acquisition channel, Ideal Customer Profile (ICP), and contract type, and flags the easy mistakes (survivorship bias, re-segmentation drift, dollar-logo divergence) before they end up in a board deck. ## What it solves - Blended NRR numbers that hide segment-level decay - LTV calculations using revenue (not contribution margin) - overstating returns - Cohort cherry-picking where only the best months get reported - Survivorship bias from reporting only cohorts that finished the window - Confusing logo churn with revenue churn - they tell very different stories ## When to invoke - Diagnosing whether a retention drop is structural or compositional - Forecasting next-year Annual Recurring Revenue (ARR) from current cohort behavior - Evaluating whether a pricing or packaging change actually improved retention - Preparing the retention section of a board deck or investor update - Validating product-market fit by comparing later cohorts versus earlier ones ## Phase 1: Define the cohort dimensions Confir