Customer Churn

Customer Churn

It has been estimated that retaining existing customers is 5 to 20 times more cost effective than acquiring new ones. Early identification of at-risk customers is an effective way to maintain customer loyalty, increase revenue, and reduce customer churn. PredictC uses data mining and predictive analytical models to predict customers with a high likelihood to churn/defect, as well as identify high value customers. These models analyze personal and behavioral customer data to determine those that can benefit from tailored customer-centric marketing campaigns.


Unlike complex and expensive CRM software, PredictC is an easy to deploy app. Our product isolates both at risk and high-value customers. Functions include:

  • Isolate product and spending patterns of at-risk and high-value customers to inform marketing decisions.
  • Analyzes customer order values and purchase frequency.
  • Predicts customer probability of purchasing/spending more or less than optimal.