How to Spot Churn Risk in Your Order History

This blog post outlines how to identify subtle behavioral shifts in customer order history that signal churn risk. It covers declining frequency, dropping average order value, changing product mix, and other deeper cues. The post emphasizes the limitations of manual analysis and positions AI analytics, specifically Treeo, as a solution for proactive churn prediction and retention analytics, empowering decision-makers with predictive data to safeguard their customer base.