LRFMP model for customer segmentation in the grocery retail industry: a case study


Peker S., KOÇYİĞİT A. , EREN P. E.

MARKETING INTELLIGENCE & PLANNING, cilt.35, ss.544-559, 2017 (SSCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 35 Konu: 4
  • Basım Tarihi: 2017
  • Doi Numarası: 10.1108/mip-11-2016-0210
  • Dergi Adı: MARKETING INTELLIGENCE & PLANNING
  • Sayfa Sayıları: ss.544-559

Özet

Purpose - The purpose of this paper is to propose a new RFM model called length, recency, frequency, monetary and periodicity (LRFMP) for classifying customers in the grocery retail industry; and to identify different customer segments in this industry based on the proposed model.