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

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Built by Rodrigue Gbadou Rodrigue Gbadou
Created on June 07, 2026

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 (4)

Code
n8n-nodes-base.code
Gmail
n8n-nodes-base.gmail
HTTP Request
n8n-nodes-base.httpRequest
Postgres
n8n-nodes-base.postgres