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 ...
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 ...
Opinions expressed by Digital Journal contributors are their own. A subscription technology platform with over 100,000 users was losing customers each month despite having access to substantial ...
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 ...
In the contemporary environmental context, there is a burgeoning emphasis among corporations on the significance of reducing customer attrition as a strategic imperative 1. At the heart of effective ...
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.
This study proposes a survival-based modeling framework that combines behavioral features with interpretable machine learning to understand and predict user churn in electric vehicle charging services ...
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