Most customer-obsessed companies rely on traditional customer churn prediction models that leverage transactional analytics to predict the future risk of cancellation. These models use transactional ...

When companies have so much data on their customers, why is it so difficult to identify and successfully act on customers you might be able to retain, and reduce customer churn? One big issue is ...

Understanding customer churn is critical to sustaining a healthy business. Knowing how and why customers leave and what can be done to win them back underpins efforts to target new markets and product ...

Advanced Churn Prediction engine enables brands to identify at-risk customers and deliver personalized marketing, moving from reactive retention to proactive relationship building. SAN ANTONIO, Sept.