Subscription revenue optimizer with Stripe, Postgres & Gmail - predictive retention

How it works - Behavioral analytics: Real-time analysis of product usage and engagement signals - Churn prediction: Predictive model identifying at-risk customers 15 days before - Smart upselling: Personalized recommendations based on usage and profile - Retention campaigns: Automated retention campaigns with dynamic offers

Set up steps - Product analytics: Connect Mixpanel, Amplitude or proprietary analytics - Billing system: Integrate Stripe, Chargebee, Recurly for billing data - Customer data: Synchronize your CRM with complete customer history - Email/SMS platforms: Configure SendGrid, Twilio for communications - Pricing rules: Define your pricing matrix and promotional offers - ML pipeline: Configure predictive model training

Key Features - 🔮 Churn prediction: At-risk customer identification with 85% accuracy - 💰 Smart upselling: Personalized recommendations increasing ARPU by 35% - ⚡ Proactive interventions: Automated actions before customer churns - 📊 Revenue optimization: Price optimization based on willingness to pay - 🎯 Dynamic segmentation: Real-time customer groups updates - 🔄 A/B testing: Automated testing of retention strategies - 📈 LTV maximization: Customer lifetime value optimization - 🛡️ Dunning management: Automated payment failure handling