Predict churn risk and trigger retention actions with OpenAI and Google Sheets

This workflow automatically ingests real-time user behavior events, detects drop-off points across the customer journey, predicts churn risk using AI, and triggers targeted retention actions while logging everything for analysis.

Who’s it for

• Product teams managing high-churn SaaS products
• E-commerce businesses with cart abandonment issues
• Subscription services tracking user engagement

How it works / What it does

1. Captures new user behavior events (webhook or scheduled poll)
2. Analyzes session events, actions, and engagement metrics for drop-off signals
3. Loads user profile, history, and preferences
4. AI predicts real-time drop-off risk and generates personalized retention actions
5. Sends automated re-engagement messages or campaign triggers
6. Logs predictions, risk scores, and actions in Google Sheets

How to set up

1. Import this workflow
2. Set up credentials (Webhook events, Google Sheets, OpenAI/Anthropic)
3. Update user profile defaults and retention endpoints
4. Activate workflow

Requirements

• Event webhook (Segment, Mixpanel, custom analytics)
• Google Sheets
• OpenAI / Anthropic / Grok API
• User behavior event schema

How to customize the workflow

• Change AI tone and action templates in the AI node
• Modify Python detection logic
• Update Google Sheet columns
• Adjust retention messaging or campaign endpoints

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