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  • 标题:Customer Segmentation Analysis for Improving Sales Using Clusterin
  • 本地全文:下载
  • 作者:P.SRINIVASA RAO ;   M.SANTHOSH KUMAR ; N.SRI HARSHA
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2021
  • 卷号:9
  • 期号:6
  • 页码:7287-7293
  • DOI:10.15680/IJIRCCE.2021.0906216
  • 语种:English
  • 出版社:S&S Publications
  • 摘要:Customer segmentation is the practice of dividing a company’s customers into groups that reflect similarity among customers in each group. The goal of segmenting customers is to decide how to relate to customers in each segment in order to maximize the value of each customer to the business. Customer segmentation has the potential to allow marketers to address each customer in the most effective way. Using the large amount of data available on customers and potential customers, a customer segmentation analysis allows marketers to identify discrete groups of customers with a high degree of accuracy based on demographic, behavioral and other indicators. To scale efficiently and effectively, expansion stage companies need to focus their efforts not on a broad universe of potential customers, but rather on a specific subset of customers who are most similar to their best current customers. The key to doing so is through customer segmentation. The segmentation is based on customers having similar ‘needs’(so that a single whole product can satisfy them) and ‘buying characteristics’(responses to messaging, marketing channels, and sales channels, that a single go-to-market approach can be used to sell to them competitively and economically).
  • 关键词:Clustering;data collection;Data pre-processing;Model training;Dataset preparation;Administrator;Customer
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