feat(analytics): implement subscription analytics with MRR, ARR, and cohort analysis - #1049
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…cohort analysis - Added granular MRR movement calculation (New, Expansion, Contraction, Churn, Reactivation, Net New) - Added Annual Recurring Revenue (ARR) normalization and run-rate projections - Added multi-period Cohort Retention Matrix analysis and lifecycle averages - Added customer unit economics engine (ARPU, LTV, CAC Payback period) - Added app/screens/AnalyticsScreen.tsx integration - Added comprehensive unit tests covering MRR breakdowns, cohort matrices, and unit economics Closes Smartdevs17#952
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Summary
Implements advanced subscription financial and cohort analytics, including detailed MRR movement breakdowns, ARR normalization, multi-period cohort retention matrices, and customer unit economics (ARPU, LTV, CAC payback).
Key Changes
1. Subscription Analytics Service (
src/services/analyticsService.ts)calculateDetailedMrrBreakdown): Tracks starting MRR, new MRR, expansion MRR, contraction MRR, churned MRR, reactivated MRR, Net New MRR, ending MRR, SaaS Quick Ratio, and Net Revenue Retention (NRR) %.calculateCohortRetentionMatrix): Groups subscriptions by monthly signup cohort and evaluates Month-0, Month-1, Month-2... retention percentages across the subscription lifecycle with benchmark averages.calculateCustomerUnitEconomics): Computes ARPU, Customer Lifetime Value (LTV), LTV:CAC ratios, and CAC payback timeline in months.2. Screen Integration (
app/screens/)app/screens/AnalyticsScreen.tsxscreen adapter.3. Tests & Verification
src/services/__tests__/analyticsService.test.tsverifying:Closes #952