Customer Segmentation Based on Loyalty Level Using K-Means and LRFM Feature Selection in Retail Online Store

Effects of Online Store Attributes on Customer Satisfaction & Loyalty

With a choice of many online store attributes, retail managers are concerned about which attributes to include and how to operationalize them as well as their impact on customer satisfaction and loyalty. There is a lack of consensus regarding online store attributes and their categories, and there is very limited empirical research regarding their effects. This paper uses a widely cited seconda...

Customer lifetime value model in an online toy store

Business all around the world uses different approaches to know their customers, segment them and formulate suitable strategies for them. One of these approaches is calculating the value of each customer for the company. In this paper by calculating Customer Lifetime Value (CLV) for individual customers of an online toy store named Alakdolak, three customer segments are extracted. The level of ...

Kernel Penalized K-means: A feature selection method based on Kernel K-means

Article history: Received 11 June 2014 Received in revised form 23 October 2014 Accepted 11 June 2015 Available online 19 June 2015

Customer Segmentation Model in E-commerce Using Clustering Techniques and LRFM Model: The Case of Online Stores in Morocco

Given the increase in the number of e-commerce sites, the number of competitors has become very important. This means that companies have to take appropriate decisions in order to meet the expectations of their customers and satisfy their needs. In this paper, we present a case study of applying LRFM (length, recency, frequency and monetary) model and clustering techniques in the sector of elec...

Segmentation of Photospheric Solar Images by Using c-Means,k-Means, and FCM Algorithms