A case study of applying LRFM model in market segmentation of a children's dental clinic

Jo Ting Wei, Shih Yen Lin, Chih Chien Weng, Hsin-Hung Wu

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

Dental services marketing has become more and more crucial in Taiwan after Taiwan's entrance of the World Trade Organization and the implementation of National Health Insurance (NHI) program. This paper develops an extended RFM (recency, frequency, and monetary) model, namely LRFM (length, recency, frequency, and monetary) model, by adopting self-organizing maps (SOM) technique for a children's dental clinic in Taiwan to segment its dental patients. Twelve clusters are recommended for the overall 2258 patients. The average values of LRF are computed for each cluster and the overall patients, excluding monetary covered by NHI program. The values of LRF variables for each cluster greater than those of the overall average are identified. The results show that three clusters having the above average LRF values (454 patients) can be viewed as core patients.

Original languageEnglish
Pages (from-to)5529-5533
Number of pages5
JournalExpert Systems with Applications
Volume39
Issue number5
DOIs
Publication statusPublished - 2012 Apr 1

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

Fingerprint Dive into the research topics of 'A case study of applying LRFM model in market segmentation of a children's dental clinic'. Together they form a unique fingerprint.

  • Cite this