Abstract

In an effort to determine groups of customers who have the potential to be loyal, it is necessary to carry out a careful examination based on the characteristics of each customer in transactions. Having similar characteristics to create a customer grouping is also needed in the customer segmentation concept. This is necessary because it is to know customer behavior so that it can help in implementing the right sales strategy to increase profits for the company. The aim of this research is to identify customer groups using the RFM model. Based on the results of the RFM interpretation analysis carried out, 3 clusters were formed with the levels of loyal customers, less loyal customers and disloyal customers. It can be concluded that this research can group customer loyalty levels using the RFM model.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.