Customer churn prediction for commercial banks using customer-value-weighted machine learning models
Customer churn prediction has become an increasingly important issue in global business, especially in the banking industry, where customer acquisition has become ever more costly in this notoriously ...
Customer churn prediction and segmentation have emerged as pivotal areas of research and practice, given their substantial impact on revenue protection and strategic customer management. These methods ...
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 ...
Zehra Cataltepe is the CEO of TAZI.AI, an adaptive, explainable AI and GenAI platform for business users. She has 100+ AI papers & patents. As of 2022, financial institutions have, on average, a 3.65% ...
This issue of The Journal of Risk Model Validation features two papers that directly address validation using machine learning. Whether their findings imply we will all (including the editor) become ...
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