Roessler, Jannik and Schoder, Detlef (2022). Bridging the Gap: A Systematic Benchmarking of Uplift Modeling and Heterogeneous Treatment Effects Methods. J. Interact. Mark., 57 (4). S. 629 - 651. THOUSAND OAKS: SAGE PUBLICATIONS INC. ISSN 1520-6653

Full text not available from this repository.

Abstract

Choosing the correct method to predict the incremental effect of a treatment on customer response is critical to optimize targeting policies in many important applications such as churn management and patient care. Two research streams, uplift modeling and heterogeneous treatment effects (HTE), have emerged that scrutinize the incremental effect of a treatment on customer response. So far, these research streams mostly remain independent, with few studies comparing methods across these communities. However, if the goal is to estimate the incremental effect in the best possible way or to make a new contribution in the context of targeting policies, ignoring either uplift modeling or HTE methods is a serious omission. To fill this research gap, the authors benchmark 15 methods from both literatures on synthetic and real-world data sets. They perform benchmarking to contrast the performance of different methods from both research streams and to highlight the importance of evaluating methods from uplift modeling and HTE. The results show that although most methods suffer from volatility, some methods perform better and are more robust than others. In addition, the authors demonstrate that using the incremental effect can substantially improve a targeting policy, but only if academics and practitioners evaluate various methods from both uplift modeling and HTE.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Roessler, JannikUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schoder, DetlefUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-657554
DOI: 10.1177/10949968221111083
Journal or Publication Title: J. Interact. Mark.
Volume: 57
Number: 4
Page Range: S. 629 - 651
Date: 2022
Publisher: SAGE PUBLICATIONS INC
Place of Publication: THOUSAND OAKS
ISSN: 1520-6653
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
BusinessMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/65755

Downloads

Downloads per month over past year

Altmetric

Export

Actions (login required)

View Item View Item