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Direct mailing decisions for a Dutch fundraiser

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Author Info
J.J. Jonker ()
N. Piersma
R. Potharst (FEW-Econometrie en besliskunde)
Abstract

Direct marketing firms want to transfer their message as efficiently as possible in order to obtain a profitable long-term relationship with individual customers. Much attention has been paid to address selection of existing customers and on identifying new profitable prospects. Less attention has been paid to the optimal frequency of the contacts with customers. We provide a decision support system that helps the direct mailer to determine mailing frequency for active customers. The system observes the mailing pattern of these customers in terms of the well known R(ecency), F(requency) and M(onetary) variables. The underlying model is based on an optimization model for the frequency of direct mailings. The system provides the direct mailer with tools to define preferred response behavior and advises the direct mailer on the mailing strategy that will steer the customers towards this preferred response behavior.

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File URL: http://www.eur.nl/WebDOC/doc/econometrie/feweco20020918142659.pdf
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Publisher Info
Paper provided by Erasmus University Rotterdam, Econometric Institute in its series Econometric Institute Report with number 281.

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Date of creation: 2002
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Handle: RePEc:dgr:eureir:2002281

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Related research
Keywords: Markov decision process Direct marketing Decision support system;

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  1. J.J. Jonker & N. Piersma & D. Van den Poel, 2002. "Joint optimization of customer segmentation and marketing policy to maximize long-term profitability," Econometric Institute Report 271, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
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  2. N. Piersma & J.J.J. Jonker, 2000. "Determining the direct mailing frequency with dynamic stochastic programming," Econometric Institute Report 207, Erasmus University Rotterdam, Econometric Institute. [Downloadable!]
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This page was last updated on 2010-1-6.


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