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

URN to cite this document: urn:nbn:de:bvb:703-epub-6049-8

Title data

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

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Name: Baier-Stöcker2021_Article_ProfitUpliftModelingForDirectM.pdf
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Further data

Item Type: Article in a journal
Keywords: Uplift modeling; Heckman sample selection model; Zero-inflated
negative binomial regression; Random forests; Online shops
DDC Subjects: 300 Social sciences > 330 Economics
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
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-6049-8
Date Deposited: 16 Mar 2022 09:50
Last Modified: 01 Aug 2022 07:30
URI: https://epub.uni-bayreuth.de/id/eprint/6049

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