References

• 2017Retention Futility: Targeting High-Risk Customers Might be Ineffective292 cited
• 2011Decision trees for uplift modeling with single and multiple treatments177 cited
• 2002The true lift model147 cited
• 2019Targeting Prospective Customers: Robustness of Machine-Learning Methods to Typical Data Challenges133 cited
• 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
• 2012Real-World Uplift Modelling with Significance-Based Uplift Trees90 cited
• 2014Ensemble methods for uplift modeling81 cited
• 2014Mining for the truly responsive customers and prospects using true-lift modeling: Comparison of new and existing methods72 cited
• 2019Conversion Uplift in E-Commerce: A Systematic Benchmark of Modeling Strategies32 cited
• 2015Improving direct mail targeting through customer response modeling19 cited
• 2017$$L_p$$ L p -Support vector machines for uplift modeling17 cited
• 2006INFLUENTIAL MARKETING: A NEW DIRECT MARKETING STRATEGY ADDRESSING THE EXISTENCE OF VOLUNTARY BUYERS12 cited

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