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Analysis of the Characteristics of Customer Defection on a Hair Salon Considering Individual Differences

机译:考虑个人差异的发廊顾客叛逃特征分析

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In recent years, as the number of hair salons increases, and the scale of the hair salon market has declined. Hence, competition for hair salon acquisition will be intensified. It is important for a hair salon to specify the cause of customer defection and plan to settle that. In this study, we analyzed the POS data with customer distinguishing information of a hair salon chain. Concretely, we performed logistic regression and hierarchical Bayes logit model to identify the cause of customer defection on the hair salon. After that, we categorized and considered the customers using hierarchical cluster analysis. Using these models, we extract the characteristics of customer defection on a hair salon and propose marketing measures to prevent defection.
机译:近年来,随着发廊的数量增加,发廊市场的规模下降。因此,争夺美发沙龙的竞争将会加剧。对于美发沙龙来说,确定客户叛逃的原因并计划解决这一问题非常重要。在这项研究中,我们分析了带有发廊连锁店客户识别信息的POS数据。具体而言,我们执行了逻辑回归和层次贝叶斯Logit模型,以识别美发店顾客退货的原因。之后,我们使用层次聚类分析对客户进行分类和考虑。使用这些模型,我们提取了发廊上客户叛逃的特征,并提出了防止欺诈的营销措施。

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