🤝 Subscription revenue optimizer with Stripe, Postgres & Gmail - predictive retention
⚡ 423 views · 🤝 CRM & Sales Operations
Description
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
🔗 Nodes Used
HTTP Request, Postgres, Gmail, Schedule Trigger
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File