Problem

Solution

Businesses need to proactively identify customers who are likely to stop making purchases, allowing them to take targeted retention actions.

We developed a predictive model that analyzes key customer metrics like recency of purchase, time between orders, and revenue trends to accurately forecast churn risk.

Enables businesses to implement proactive customer retention campaigns, increase customer lifetime value, and protect revenue streams by reducing churn.