at Google ScholarTitle 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: 
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 |