Comparison of Two Customer Segmentation Methods (Case Study: Customer Data from GreenWeb Company)

In the world of competition between companies, it is required to cluster the customers based on the behaviors and preferences and it is a critical strategic imperative in any company. In this research, the well-known methods of RFM and Clara clustering based on Manhattan and Euclidean measures are used to cluster the customers of GreenWeb company. The results show the frequency of customers in some of the clusters are slightly equal whereas the number of clustering in each three methods are not equal.

کلیدواژه ها:

RFM ، Clara ، 𝒌-medoids ، GreenWeb ، Customer Segmentation