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Profit uplift modeling for direct marketing campaigns : approaches and applications for online shops

Title data

Baier, Daniel ; Stöcker, Björn:
Profit uplift modeling for direct marketing campaigns : approaches and applications for online shops.
In: Journal of Business Economics. Vol. 92 (2022) . - pp. 645-673.
ISSN 1861-8928
DOI: https://doi.org/10.1007/s11573-021-01068-3

Official URL: Volltext

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Uplift modeling; Heckman sample selection model; Zero-inflated
negative binomial regression; Random forests; Online shops
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XIV - Marketing and Innovation > Chair Business Administration XIV - Marketing and Innovation - Univ.-Prof. Dr. Daniel Baier
Faculties
Faculties > Faculty of Law, Business and Economics
Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XIV - Marketing and Innovation
Result of work at the UBT: Yes
DDC Subjects: 300 Social sciences > 330 Economics
Date Deposited: 24 Nov 2021 07:22
Last Modified: 26 Apr 2023 05:46
URI: https://eref.uni-bayreuth.de/id/eprint/67993