Please use this identifier to cite or link to this item: http://hdl.handle.net/11422/1929
Type: Relatório
Title: RFM analysis optimized
Author(s)/Inventor(s): Alencar, Antônio Juarez
Ribeiro, Eduardo Martins
Ferreira, Armando Leite
Schmitz, Eber Assis
Lima, Priscila Machado Vieira
Manso, Fernando Silva Pereira
Abstract: In the classic recency, frequency and monetary approach to market segmentation, i.e. RFM analysis, given a time frame, customers are clustered together into an arbitrary number of segments according to their most recent day of purchase, the number of purchases and the monetary value of their purchases. In this work we show how the choice of the number of segments and the time frame used in the RFM segmentation process can be optimized to maximize the result of direct marketing campaigns. We also indicate how RFM analysis can be extended to accommodate new dimensions of customer behavior and how the extended RFM analysis can be optimized. Furthermore, we discuss the implications of the optimized and extended RFM approach to market segmentation for direct marketing and business strategies.
Keywords: Análises RFM
Marketing direto
Subject CNPq: CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
Production unit: Instituto Tércio Pacitti de Aplicações e Pesquisas Computacionais
In: Relatório Técnico NCE
Issue: 0105
Issue Date: 31-Dec-2005
Publisher country: Brasil
Language: eng
Right access: Acesso Aberto
Citation: ALENCAR, A. J. et al. RFM analysis optimized. Rio de Janeiro: NCE/UFRJ, 2005. 19 p. (Relatório Técnico, 01/05)
Appears in Collections:Relatórios

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