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  • Search: subject:"uplift modeling"
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Year of publication
Subject
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Uplift modeling 9 Theorie 4 Theory 4 Uplift Modeling 4 Additional splits 2 Artificial intelligence 2 B-to-B-Marketing 2 Beziehungsmarketing 2 Business-to-business marketing 2 Churn 2 Consumer behaviour 2 Decision trees 2 Heckman sample selection model 2 Konsumentenverhalten 2 Künstliche Intelligenz 2 Lieferantenmanagement 2 Local errors 2 Online shops 2 Prevention 2 Random forests 2 Relationship marketing 2 Supplier relationship management 2 Zero-inflated negative binomial regression 2 uplift modeling 2 Accounting 1 Analyst 1 Analytics 1 Anlageberatung 1 Artificial Intelligence 1 B2B 1 Bank direct marketing 1 Bewertung 1 Brokerage 1 Business Analytics 1 Börsengang 1 Börsenmakler 1 Campaign Profit 1 Causal Inference 1 Causal machine learning 1 Causality analysis 1
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Online availability
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Free 8 Undetermined 7
Type of publication
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Article 12 Book / Working Paper 3
Type of publication (narrower categories)
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Article in journal 9 Aufsatz in Zeitschrift 9 Article 3 Working Paper 3
Language
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English 15
Author
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Lessmann, Stefan 5 Stöcker, Björn 3 Baier, Daniel 2 Gubela, Robin M. 2 Haupt, Johannes 2 Oechsle, Frank 2 Bequé, Artem 1 Bokelmann, Björn 1 Burnaz, Sebnem 1 Caigny, Arno de 1 Coussement, Kristof 1 Gebert, Fabian 1 Gennaro, Franco 1 Gubela, Robin 1 Hu, Jinping 1 Hua, Shaowen 1 Idbenjra, Khaoula 1 Jacob, Daniel 1 Kaya, Tolga 1 Lo, Victor S. 1 Maldonado, Sebastián 1 Pachamanova, Dessislava A. 1 Phan, Minh 1 Sanisoglu, Meltem 1 Vairetti, Carla 1 Verbeke, Wouter 1
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Published in...
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Journal of marketing analytics : JMA 4 IRTG 1792 Discussion Paper 3 European journal of operational research : EJOR 2 Industrial marketing management : the international journal for industrial and high-tech firms 1 Information Systems Frontiers 1 International journal of finance & banking studies : JJFBS 1 Journal of Business Economics 1 Journal of Marketing Analytics 1 Journal of business economics : JBE 1
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Source
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ECONIS (ZBW) 9 EconStor 6
Showing 1 - 10 of 15
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Increasing the robustness of uplift modeling using additional splits and diversified leaf select
Oechsle, Frank - In: Journal of marketing analytics : JMA 11 (2023) 4, pp. 738-746
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014537399
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Increasing the robustness of uplift modeling using additional splits and diversified leaf select
Oechsle, Frank - In: Journal of Marketing Analytics 11 (2022) 4, pp. 738-746
prevent customer churn which unchanged is not covered. The research analyses how preventive uplift modeling approaches based …
Persistent link: https://ebvufind01.dmz1.zbw.eu/10015185015
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Profit uplift modeling for direct marketing campaigns : approaches and applications for online shops
Baier, Daniel; Stöcker, Björn - In: Journal of business economics : JBE 92 (2022) 4, pp. 645-673
Persistent link: https://ebvufind01.dmz1.zbw.eu/10013438854
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Multiple Treatment Modeling for Target Marketing Campaigns: A Large-Scale Benchmark Study
Gubela, Robin M.; Lessmann, Stefan; Stöcker, Björn - In: Information Systems Frontiers 26 (2022) 3, pp. 875-898
Machine learning and artificial intelligence (ML/AI) promise higher degrees of personalization and enhanced efficiency in marketing communication. The paper focuses on causal ML/AI models for campaign targeting. Such models estimate the change in customer behavior due to a marketing action known...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10015327706
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A gateway toward truly responsive customers : using the uplift modeling to increase the performance of a B2B marketing campaign
Sanisoglu, Meltem; Burnaz, Sebnem; Kaya, Tolga - In: Journal of marketing analytics : JMA 12 (2024) 4, pp. 909-924
Persistent link: https://ebvufind01.dmz1.zbw.eu/10015138149
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Propensity score oversampling and matching for uplift modeling
Vairetti, Carla; Gennaro, Franco; Maldonado, Sebastián - In: European journal of operational research : EJOR 316 (2024) 3, pp. 1058-1069
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014577753
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Improving uplift model evaluation on randomized controlled trial data
Bokelmann, Björn; Lessmann, Stefan - In: European journal of operational research : EJOR 313 (2024) 2, pp. 691-707
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014456627
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Profit uplift modeling for direct marketing campaigns: approaches and applications for online shops
Baier, Daniel; Stöcker, Björn - In: Journal of Business Economics 92 (2021) 4, pp. 645-673
uplift modeling appoaches based on one-stage ordinary regression and random forests as well as two-stage Heckman sample …
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014501307
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Customer feature selection from high-dimensional bank direct marketing data for uplift modeling
Hu, Jinping - In: Journal of marketing analytics : JMA 11 (2023) 2, pp. 160-171
Persistent link: https://ebvufind01.dmz1.zbw.eu/10014326746
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Targeting Cutsomers Under Response-Dependent Costs
Haupt, Johannes; Lessmann, Stefan - 2020
This study provides a formal analysis of the customer targeting decision problem in settings where the cost for marketing action is stochastic and proposes a framework to efficiently estimate the decision variables for campaign profit optimization. Targeting a customer is profitable if the...
Persistent link: https://ebvufind01.dmz1.zbw.eu/10012433249
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