Customer retention is a top priority for CFOs, especially in uncertain markets. This blog outlines how predictive analytics can help forecast customer churn and enable strategic decision-making. Using machine learning models trained on customer behavior, payment patterns, and product usage, finance teams can work proactively with sales and support to reduce churn. You’ll also learn how integrating churn insights into your budgeting process drives greater accuracy and resilience. Real-world examples show how top-performing companies lowered churn rates by 15% in just 6 months.
