Customer Churn Prediction & Mitigation Plan

Analyze the following customer data [insert customer data]. Identify customers at high risk of churn and provide a prioritized list with associated risk scores. For each at-risk customer, suggest three specific and actionable interventions to prevent churn, considering their individual purchase history, engagement patterns, and any feedback they have provided. Include a justification for each intervention based on the available data. The output should be structured in a table format with columns: Customer ID, Risk Score, Recommended Intervention 1 (with justification), Recommended Intervention 2 (with justification), Recommended Intervention 3 (with justification). The data includes: Customer demographics (age, location), Purchase history (frequency, value, product categories), Engagement metrics (website visits, email opens, support tickets), and Churn reasons (if available from exit surveys or feedback).

You are a customer retention expert. Develop a comprehensive customer retention strategy based on the following data and goals. Data: [insert customer data including customer demographics, purchase history, engagement metrics, common churn reasons, and competitor analysis]. Goals: Reduce churn rate by 15% in the next quarter, Increase customer lifetime value by 10%, Improve customer satisfaction scores by 5 points. Your strategy should include the following elements: Segmentation of customers based on behavior and value, Targeted communication strategies for each segment, Proactive support and engagement initiatives, Loyalty programs and incentives, Feedback collection and analysis mechanisms. Provide specific, measurable, achievable, relevant, and time-bound (SMART) action items for each element of the strategy. Include potential challenges and mitigation plans. The output should be a detailed report with clear recommendations and actionable steps.