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Cited by

• 2018A Literature Survey and Experimental Evaluation of the State-of-the-Art in Uplift Modeling: A Stepping Stone Toward the Development of Prescriptive Analytics115 cited
• 2019Why you should stop predicting customer churn and start using uplift models90 cited
• 2014Ensemble methods for uplift modeling81 cited
• 2020Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs68 cited
• 2020The effectiveness of employee retention through an uplift modeling approach63 cited
• 2012Random Forests for Uplift Modeling: An Insurance Customer Retention Case61 cited
• 2013Support Vector Machines for Uplift Modeling55 cited
• 2017The Effect of Subscription Video-on-Demand on Piracy: Evidence from a Household-Level Randomized Experiment54 cited
• 2019Response transformation and profit decomposition for revenue uplift modeling54 cited
• 2021Uplift modeling and its implications for B2B customer churn prediction: A segmentation-based modeling approach50 cited
• 2012Uplift Modeling in Direct Marketing39 cited
• 2014A survey of personalized treatment models for pricing strategies in insurance38 cited
• 2019Conversion Uplift in E-Commerce: A Systematic Benchmark of Modeling Strategies32 cited
• 2021