文章基本信息

标题：A Qualitative Approach to Customer Segmentation and Customer Churn Application
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作者：Drashti Shrimal ; Harshali Patil
期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2020
卷号：2
期号：4
页码：516-522
DOI：10.35629/5252-0204490495
语种：English
出版社：IJAEM JOURNAL
摘要：With the development of internet, various companies are coming up to the win the market. In such scenarios, it is very necessary to keep your company uptight. To aid this motive, we need to differentiate users in a meaningful way, and serve them accordingly - Customer Segmentation. Customer Segmentation is the practice of dividing a consumer base into businesses of individuals that are comparable in specific approaches applicable to marketing, which include age, gender, hobbies and spending behavior. Along with differentiating company needs to predict how many users are about to leave the company and join the competitor, possibly even know the reason - Customer Churn. In this paper we are combining models like Cohort Analysis, RFM and K-Means Pro clustering techniques we are trying to build a better solution for the organization using it and hence producing better segments of customers. This paper thus provides a complete solution to Customer segmentation.
关键词：Customer Segmentation;K means;Cohort analysis;RFM Model;Google Cloud;K Means Pro;Churn Rate