: Identifying which variables (e.g., "monetary value" vs. "subscription type") are the strongest predictors of a customer leaving.
: Research indicates that using churn vectors rather than "churn days" significantly increases the accuracy of neural networks in identifying at-risk users, particularly in mobile gaming. Explainability churn vector build 13287129
In a different context, a is a mathematical representation used in machine learning to predict customer attrition. : Identifying which variables (e