Customer Value Analysis for Feminine Care and Baby Diaper Manufacturers

• Main Authors: Hung-Lin Lee, 李宏麟
• Other Authors: 盧以詮
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/78429437682247812463

碩士 === 元智大學 === 資訊管理學系 === 100 === Feminine care and baby diaper supplies market is highly sophisticated, market saturation and price competition high. This study intends to customers of Company K of the feminine care and baby diaper manufacturer for analysis to explore the value of the customer. In this study, using the RFM model to calculate the customer value and K-means clustering algorithm to establish the clustering model, and analyze the characteristics of the feminine care and baby diape supplies manufacturer K customer clustering results. Analysis of Company K of existing customers of the value of sales customers, Company K, valuable customer information to provide a basis for decision making. The results show that the clustering model, this research regarding (A) Best , (B) Spender, (C) Frequent , (D) Uncertain, (E) Potential and (F) Disappearance can be divided into six groups of customers.Among them, the Best , Frequent and Potential types of customer for the valuable customers of Company K, this three groups of customers which includes about 90% the proportion of sales.