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Improving direct mail targeting through customer response modeling · Study

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ArticleImproving direct mail targeting through customer response modeling

Kristof Coussement2015

Article2015

Improving direct mail targeting through customer response modeling

Kristof Coussement · Paul Harrigan · Dries F. Benoit

19 citations·0/0 files stored·Expert Systems with Applications

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Customer churn and segmentation Forecasting Techniques and Applications Data Mining and Machine Learning Applications

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 19 citations exist upstream.

References

1994The Commitment-Trust Theory of Relationship Marketing 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting 1972Principles of Marketing 1990Zero defections: quality comes to services.2008Application of data mining techniques in customer relationship management: A literature review and classification 2003Benchmarking state-of-the-art classification algorithms for credit scoring 2005CRM: conceptualization and scale development 2006Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models

Cited by

2021Qini-based uplift regression

Details

Year2015

Typearticle

Published2015-07-29

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations19

Files0 public / 0

ShelfCustomer churn and segmentation

Identifiers

doi10.1016/j.eswa.2015.06.054

openalex_workW1468091882

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