Churn/CPS

Churn/CPS automates the processes of profiling, segmentation, and modeling. Using statistical intelligence and machine learning algorithms, Churn/CPS analyzes customer behavior information to determine the drivers behind churn/attrition behavior.

Results of the automated behavior analysis are automatically incorporated into SLP's automated modeling technology, which instantly applies multiple statistical techniques to create the most effective behavior model, tailored for your customers, then accurately predicts customer churn/attrition behavior--you'll know the customer is likely to leave before the thought occurs to the customer.

The behavioral insight created by Churn/CPS can be shipped throughout the enterprise via SLP InfoWare Knowledge Objects, a technology that packages the segmentation, profiling, and modeling information into a reusable, manageable open object that can become part of a closed-loop marketing-behavior system.

Using the insights generated by Churn/CPS, your business can implement proactive strategies and tactics that deter the predicted churn/attrition behavior. Further, this customer behavior insight can be distributed throughout the business.

Churn/CPS incorporates many ease-of-use features, enabling the business analyst to effectively use the application to gain customer intelligence. The businessperson can get a closer look at detailed customer information through the use of built-in information discovery functions and drill-down capability, each of which can be started with a click of a Windows toolbar button.