Proactively Reduce Churn: AI-Powered User Monitoring
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Automatically monitor user activity to identify at-risk customers and proactively re-engage them. This workflow leverages AI to analyze login data and trigger targeted re-engagement emails, reducing churn and improving customer retention.
About This Workflow
This powerful workflow automates the critical task of monitoring user churn indicators. By daily checking your admin dashboard for user login activity, it identifies customers who have been inactive for 30 days or more. Leveraging advanced AI, it calculates days since last login and, if the inactivity threshold is met, triggers a personalized re-engagement email. This ensures you can proactively reach out to customers who might be drifting away, offering them incentives or support to bring them back into the fold. Designed for efficiency, it seamlessly integrates with your existing systems to prevent customer attrition before it happens, safeguarding your revenue and fostering long-term customer loyalty.
Key Features
- Automated Daily Monitoring: Runs automatically on a schedule to consistently track user engagement.
- AI-Powered Inactivity Detection: Uses AI to accurately calculate days since last login and identify at-risk users.
- Proactive Re-engagement: Automatically sends personalized emails to inactive users to encourage their return.
- Seamless Data Integration: Connects to your admin dashboard (e.g., Google Sheets) to fetch user data.
- Configurable Inactivity Threshold: Easily adjust the number of days before a user is considered inactive.
How To Use
- Schedule Trigger: Configure the 'Daily Check Trigger' to run the workflow at your desired time (e.g., daily at 9 AM).
- Set Dashboard URL: Update the 'Set Admin Dashboard URL' node with the direct link to your user data spreadsheet or admin panel.
- Configure AI Agent: The 'Scrape User Data (AI Agent)' node is pre-configured to scrape the provided URL. Ensure your admin dashboard data is accessible via this URL.
- Review and Adjust: Examine the 'Format User Login Data' node to ensure it correctly parses your user data. Adjust the code if your data structure differs.
- Set Re-engagement Threshold: In the 'Check Inactive Threshold (>=30 days)' node, adjust the
rightValueif you want to change the number of days before a re-engagement email is sent. - Customize Email: Modify the 'Send Re-engagement Email' node with your company name and a compelling offer or message.
- Connect Credentials: Ensure your OpenAI API and Gmail (or other email service) credentials are correctly set up in n8n.
Apps Used
Workflow JSON
{
"id": "081b4639-056f-4693-878e-e1ed2278c550",
"name": "Proactively Reduce Churn: AI-Powered User Monitoring",
"nodes": 29,
"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: 081b4639-056f...
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