A financial organization has many customers who close their accounts every year.

Creating a machine learning (ML) model to analyze the demographics and behaviors of customers who have previously closed their accounts is an effective approach to identify at-risk customers. This model can predict which current customers are most likely to leave, allowing the organization to proactively offer discounts or improved services to retain them.

Option D: Create a ML model based on the demographics and activities of previous customers that exited is correct because it uses data-driven insights and AI to identify patterns and predict future customer behavior.