Accurately analyzing customer behavior is crucial for businesses to understand their customers' needs and preferences, ultimately increasing customer satisfaction and loyalty. One important aspect of customer behavior analysis is calculating the customer lifetime value (CLV) with precision.
Predicting customer churn accurately is crucial for businesses to retain their customers and maintain a healthy customer base. Churn prediction involves analyzing customer behavior data to identify patterns that indicate a customer is likely to stop using a product or service. Accuracy in customer behavior analysis is essential for improving churn prediction accuracy and implementing effective retention strategies.