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 ...

Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its ...

LONDON--(BUSINESS WIRE)--Quantzig, a leading analytics advisory firm that delivers customized analytics solutions, has announced the completion of their new article on the challenges enterprises face ...

ZapScale, a customer success platform, launched an AI churn and upsell prediction model designed to equip SaaS companies with predictive insights to help tackle churn and optimize upsell opportunities ...

Customer churn has been a growing problem across industries. Businesses are losing millions of dollars every year to cancellations, and it is affecting their balance sheets. In recent years, the ...

The allure of subscription payments has captured the fancy of merchants and payments companies alike, but churn—the loss of a paying customer—may not only affect revenue, but hamper innovation, finds ...

Customer churn rates are more complicated than they may seem. Today's business environment is characterized by infinite variables and data points, as well as constant change. One-size-fits-all ...

Ascarza, Eva, and Bruce G.S. Hardie. "A Joint Model of Usage and Churn in Contractual Settings." Marketing Science 32, no. 4 (July–August 2013): 570–590.

With the cost of acquiring new app installs skyrocketing, keeping users engaged who have already installed is critical for maximizing acquisition spend and customer lifetime value. Urban Airship’s ...