Targeting customers under response-dependent costs

DOI10.1016/j.ejor.2021.05.045zbMath1487.90412arXiv2003.06271OpenAlexW3011552394MaRDI QIDQ2242231

Stefan Lessmann, Johannes Haupt

Publication date: 9 November 2021

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2003.06271

zbMATH Keywords

decision analysisdata scienceOR in marketingcausal MLcustomer targeting

Mathematics Subject Classification ID

Marketing, advertising (90B60)

Related Items (2)

Dynamic budget allocation for social media advertising campaigns: optimization and learning ⋮ To do or not to do? Cost-sensitive causal classification with individual treatment effect estimates

Uses Software

• GitHub
• grf

Cites Work

• A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees
• Generalized random forests
• Considering endogeneity for optimal catalog allocation in direct marketing
• A prediction-driven mixture cure model and its application in credit scoring
• Bayesian regression tree models for causal inference: regularization, confounding, and heterogeneous effects (with discussion)
• Response transformation and profit decomposition for revenue uplift modeling
• Deep Neural Networks for Estimation and Inference
• Quasi-oracle estimation of heterogeneous treatment effects
• Machine learning estimation of heterogeneous causal effects: Empirical Monte Carlo evidence

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