Automated Customer Churn Monitoring with Bright Data MCP and OpenAI

Overview

This workflow automates the monitoring of customer churn indicators by integrating Bright Data MCP for user data scraping and OpenAI for intelligent analysis. It identifies inactive users and triggers targeted re-engagement emails via Gmail.

Key Features

• Daily Automated Checks: Uses a schedule trigger to run daily, ensuring up-to-date churn monitoring.
• Data Scraping & Processing: Employs Bright Data MCP and AI agents to collect and format user login data from the admin dashboard.
• Churn Analysis: Calculates days since last login, flags users inactive for 30+ days, and leverages OpenAI for advanced analysis.
• Automated Communication: Sends personalized re-engagement emails to at-risk users through Gmail integration.

Benefits

• Proactive Retention: Identifies and addresses churn risks before customers leave.
• Time Savings: Eliminates manual data collection and analysis, streamlining retention efforts.
• Intelligent Insights: Combines AI-driven analysis with real-time data for smarter decision-making.

Use Cases

• SaaS platforms aiming to reduce churn rates.
• Customer success teams seeking automated retention workflows.
• Businesses wanting to leverage AI for user engagement strategies.