Build a churn prediction framework with leading indicators, risk scoring, and proactive intervention playbooks that catch at-risk customers before they leave and retain them cost-effectively.
## CONTEXT The most expensive retention mistake is waiting until a customer cancels to try to keep them. By the time a customer actively churns, the relationship has usually been deteriorating for weeks or months through declining engagement, reduced usage, and ignored communications. The customers who churn rarely…
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