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Title: Uplift Modeling in Direct Marketing, Journal of Telecommunications and Information Technology, 2012, nr 2

Creator:

Rzepakowski, Piotr ; Jaroszewicz, Szymon

Date:

2012, nr 2

Resource Type:

artykuł

Description:

Marketing campaigns directed to randomly selected customers often generate huge costs and a weak response. Moreover, such campaigns tend to unnecessarily annoy customers and make them less likely to answer to future communications. Precise targeting of marketing actions can potentially results in a greater return on investment. Usually, response models are used to select good targets. They aim at achieving high prediction accuracy for the probability of purchase based on a sample of customers, to whom a pilot campaign has been sent. However, to separate the impact of the action from other stimuli and spontaneous purchases we should model not the response probabilities themselves, but instead, the change in those probabilities caused by the action. The problem of predicting this change is known as uplift modeling, differential response analysis, or true lift modeling. In this work, tree-based classifiers designed for uplift modeling are applied to real marketing data and compared with traditional response models, and other uplift modeling techniques described in literature. The experiments show that the proposed approaches outperform existing uplift modeling algorithms and demonstrate significant advantages of uplift modeling over traditional, response based targeting.

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy, Warszawa

Format:

application/pdf

Resource Identifier:

oai:bc.itl.waw.pl:1229 ; ISSN 1509-4553, on-line: ISSN 1899-8852

DOI:

10.26636/jtit.2012.2.1263

ISSN:

1509-4553

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

Rights Management:

Biblioteka Naukowa Instytutu Łączności

Subject and keywords:

marketing tools decision trees information theory uplift modeling

Object collections:

Last modified:

Aug 29, 2024

In our library since:

Jul 9, 2013

Number of object content hits:

798

All available object's versions:

https://bc.itl.waw.pl/publication/1536

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Edition name Date
Rzepakowski, Piotr; Jaroszewicz, Szymon, Uplift Modeling in Direct Marketing, Journal of Telecommunications and Information Technology, 2012, nr 2 Aug 29, 2024

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Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Phone

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

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