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