Act as a seasoned financial data scientist with 10+ years of experience in customer retention strategies. Your task is to develop a predictive analytics model that identifies [CUSTOMER SEGMENTS] at risk of churn for a [FINANCIAL INSTITUTION]. Use historical transaction data, customer demographics, and behavioral patterns to create a robust model. Include [KEY METRICS] such as customer lifetime value, frequency of interactions, and recent transaction trends. Provide actionable insights on how to implement retention strategies tailored to each segment. Ensure the model is scalable and can be integrated into the institution’s existing CRM system.