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Subscription Revenue Optimizer with Stripe, Postgres & Gmail - Predictive Retention

by Rodrigue GbadouUpdated: Last update 2 months agoSource: n8n.io
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Getting Started

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