Churn Prediction built on HyperSense
Improve customer retention and engagement with actionable insights
Discover Churn Prediction
Subex Churn Prediction model built on HyperSense uses behavioural, lifestyle, and demographic variables. The solution is integrated with all of the HyperSense studios and helps organizations develop a comprehensive view of each customer to identify the churn propensity and take necessary actions for retention.
Analytical Techniques for Churn Prediction
Customer segmentation
Logistic regression
Segment movement analysis
Decision trees
Historical segment churn analysis
Segment churn attribution modeling
Churn prediction modeling
Why HyperSense?
Challenges with traditional solutions
Lack of data harmonization across lines of business and channels to identify trends
Cumbersome and time-consuming processes
High time-to-market, especially for new projects
Challenges in attributing churn cause and predicting loss of revenue
Manual and rule-based approaches to identify the next best offering
CHURN PREDICTION features
Probability Survival Model
Analyze customer demographics, policy details, history, spend, and LTV to predict the likelihood of churn and earn customer loyalty.
Hyper-Personalization
Create tailor-made offers to manage churn based on consumers’ preferences and drive loyalty.
The Next-Best Action
Get to know your customer better and drive successful marketing efforts towards increasing ARPU.
End-to-end integration
Generate the right set of churn predictions which can help organizations assess the churn propensity of each subscriber.
See how Churn Prediction can help you
Drive lasting customer lifetime value
Develop smart pricing and promotion strategies that converts casual browsers into paying subscribers. Leverage data-driven content recommendations to predict and manage churn.
Increase customer loyalty
Influence customer loyalty and increase retention by improving service quality, dynamically adjusting pricing, and delivering personalized offers.
Better customer experience
Deliver the best customer experience by having access to the complete customer history during customer service calls to quickly identify and resolve issues.
Make decisions in real- time
Make quick business decisions based on real-time behavioral data of subscribers and adjust offers in real-time to meet service demand.
