e-Profits: A Business-Aligned Evaluation Metric for Profit-Sensitive Customer Churn Prediction
Awais Manzoor, M. Atif Qureshi, Etain Kidney, Luca Longo

TL;DR
e-Profits is a new evaluation metric for customer churn models that aligns with business goals by incorporating customer lifetime value, retention probability, and costs, providing more financially relevant model assessments.
Contribution
Introduces e-Profits, a novel, granular, customer-level profit metric based on survival analysis, improving upon traditional metrics for churn prediction evaluation.
Findings
e-Profits alters model rankings compared to AUC and F1-score.
The metric reveals financial benefits of models previously overlooked.
Supports segment-level analysis for ROI maximization.
Abstract
Retention campaigns in customer relationship management often rely on churn prediction models evaluated using traditional metrics such as AUC and F1-score. However, these metrics fail to reflect financial outcomes and may mislead strategic decisions. We introduce e-Profits, a novel business-aligned evaluation metric that quantifies model performance based on customer lifetime value, retention probability, and intervention costs. Unlike existing profit-based metrics such as Expected Maximum Profit, which assume fixed population-level parameters, e-Profits uses Kaplan-Meier survival analysis to estimate tenure-conditioned (customer-level) one-period retention probabilities and supports granular, per-customer profit evaluation. We benchmark six classifiers across two telecom datasets (IBM Telco and Maven Telecom) and demonstrate that e-Profits reshapes model rankings compared to…
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Taxonomy
TopicsCustomer churn and segmentation · Technology Adoption and User Behaviour
