AI-Powered Churn Prevention with Personalized Win-Back Offers
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Automatically identify high-risk customers daily and deploy AI-driven personalized win-back offers. This workflow integrates with Google Sheets to fetch customer data, intelligently filters based on churn scores, and leverages an LLM to craft tailored offers, significantly boosting your customer retention efforts.
About This Workflow
Proactively Combat Customer Churn with Intelligent Automation. This powerful n8n workflow provides a comprehensive solution for identifying and re-engaging customers at risk of churning. Running daily, it fetches your latest customer data from Google Sheets, including crucial predicted churn scores and preferred categories. It then intelligently filters for customers with a high churn probability (score > 0.7). For each identified at-risk customer, the workflow utilizes an advanced Large Language Model (LLM) powered by Google Gemini to dynamically generate a personalized win-back offer. Offers range from informational messages to bonus points or direct discounts, tailored precisely to their churn risk level and preferences, ensuring your retention campaigns are both efficient and highly effective.
Key Features
- Daily Automated Churn Detection: Runs every 24 hours to consistently monitor your customer base.
- Google Sheets Integration: Seamlessly pulls customer data including churn scores and preferences.
- AI-Powered Personalization: Leverages an LLM (Google Gemini) to craft unique, risk-level-appropriate win-back offers.
- Dynamic Offer Strategy: Automatically assigns informational messages, bonus points, or discount percentages based on predicted churn score.
- Batch Processing: Efficiently handles multiple at-risk customers with individualized offers.
How To Use
- Schedule Trigger: Configure the 'Scheduled Start: Daily Churn Check' node to run at your desired frequency (default is daily).
- Google Sheets Integration: Connect your Google Sheets account to the 'Fetch Customer Data from Sheet' node. Ensure your sheet contains
predicted_churn_scoreandpreferred_categoriescolumns. - Filter Configuration: The 'Filter High Churn Risk & No Campaign Customers' node is pre-configured to target customers with
predicted_churn_scoregreater than 0.7. - LLM Credentials: Provide your Google Gemini (PaLM) API credentials to the '(LLM Model for Offer Generation)' node.
- Review LLM Prompt: The 'Generate Win-Back Offer' node contains a detailed prompt. Review and adjust the rules for offer generation if needed to match your specific marketing strategy and desired output language.
Apps Used
Workflow JSON
{
"id": "22ba8e84-6b5b-4792-bc77-83e70f6f5ce7",
"name": "AI-Powered Churn Prevention with Personalized Win-Back Offers",
"nodes": 21,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 22ba8e84-6b5b...
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