💳 A/B Test: RevenueCat vs Custom Paywall\n\nParent Story: SMR-58 - A/B Testing Framework \nTest Priority: 2 (Revenue Optimization)\n\n---\n\n## 📊 Test Hypothesis\n\nTheory: RevenueCat's industry-optimized paywall will outperform our custom paywall implementation\n\nCurrent State: 'REVENUECAT_CURRENT_OFFERING': false (Custom Paywall) \nTest Variant: 'REVENUECAT_CURRENT_OFFERING': true (RevenueCat Paywall)\n\n---\n\n## 🎯 Test Configuration\n\n### Control Group (50%):\n- Custom paywall implementation\n- Current pricing display\n- Existing purchase flow\n\n### Variant Group (50%):\n- RevenueCat optimized paywall\n- Industry best practices\n- Professional paywall UX\n\n---\n\n## 📈 Success Metrics\n\n### Primary KPIs:\n- Payment Conversion Rate: % users who complete purchase\n- ARPPU (Average Revenue Per Paying User): Revenue per converted user\n- Purchase Abandonment Rate: % who start but don't complete purchase\n\n### Secondary KPIs:\n- Time to Purchase Decision: How long users spend on paywall\n- Feature Engagement: Which paywall elements drive conversion\n- Platform Performance: iOS vs Android conversion differences\n\n---\n\n## 🔧 Implementation Requirements\n\n### RevenueCat Integration:\n1. Verify RevenueCat Setup\n - Confirm RevenueCat SDK integration\n - Test paywall component switching\n - Validate purchase flow\n\n2. Paywall Configuration\n - Set up RevenueCat offering\n - Configure pricing packages\n - Test purchase restoration\n\n### A/B Test Setup:\n3. Firebase Remote Config\n - Configure REVENUECAT_CURRENT_OFFERING flag\n - Set up user segmentation\n - Test feature flag switching\n\n4. Analytics Integration\n - Track conversion events\n - Monitor revenue metrics\n - Set up automated reporting\n\n---\n\n## 💰 Expected Results\n\nConservative Estimate: +2-4% ARPPU improvement \nOptimistic Estimate: +5-8% ARPPU improvement \nRevenue Impact: Industry-optimized paywall performance\n\nBased on Industry Data:\n- RevenueCat customers see 15-30% revenue increases\n- Professional paywall design improves conversion\n- A/B tested pricing strategies perform better\n\n---\n\n## ⏱️ Timeline\n\n- RevenueCat Verification: 2-3 hours\n- Implementation: 4-6 hours \n- Testing & QA: 2-3 hours\n- Results Analysis: 3-4 hours\n\nTotal Effort: 11-16 hours over 2-3 weeks\n\n---\n\n## 🎯 Risk Assessment\n\n### Low Risk:\n- RevenueCat already integrated\n- Can quickly revert if needed\n- Industry-proven solution\n\n### Mitigation:\n- Test on smaller user segment first\n- Monitor metrics daily\n- Have rollback plan ready\n\n---\n\n## ✅ Definition of Done\n\n- [ ] RevenueCat paywall integration verified\n- [ ] Firebase Remote Config flag implemented\n- [ ] A/B test deployed to 50/50 split\n- [ ] Revenue tracking confirmed accurate\n- [ ] Purchase flow tested on both iOS and Android\n- [ ] Test runs for 2-4 weeks with statistical significance\n- [ ] Revenue impact analyzed and documented\n- [ ] Recommendation made for permanent implementation"