会員ステージ間の潜在クラス分布を比較する購買行動分析モデルに関する一考察

Translated title of the contribution: A Study on Purchasing Behavior Analysis Method by Comparing Difference in Latent Class Distributions between Membership Stages

Tianxiang Yang, Haruka Yamashita, Masayuki Goto

Research output: Contribution to journalArticlepeer-review

Abstract

A marketing policy called the”Membership Stage System” is widely used in retail business. A membership stage provides benefits to customers such as shopping points when a customer's annual cumulative purchase amount exceeds a certain threshold and the customer's stage is raised a level. As a result, the company is not only able to promote the customer's willingness to purchase, but it can also obtain the purchasing history data, thereby enabling high-quality customer analysis. The most fundamental analysis is to infer the difference of purchasing characteristics between member stages and to construct different clustering models for each member stage. However, when the clustering models are learned independently for each membership stage, it is not possible to compare the obtained clusters between membership stages. In this study, we propose a new analytical method and its learning algorithm to analyze differences in cluster distribution between membership stages. Through demonstrating the proposed model applied to an actual data set of purchasing history data on a membership stage system, the effectiveness of our proposal is clarified.

Translated title of the contributionA Study on Purchasing Behavior Analysis Method by Comparing Difference in Latent Class Distributions between Membership Stages
Original languageJapanese
Pages (from-to)54-69
Number of pages16
JournalJournal of Japan Industrial Management Association
Volume73
Issue number2
DOIs
Publication statusPublished - 2022

ASJC Scopus subject areas

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics

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