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

研究成果: Article同行評審

40 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)5529-5533
頁數5
期刊Expert Systems with Applications
39
發行號5
DOIs
出版狀態Published - 2012 四月

All Science Journal Classification (ASJC) codes

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

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