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All Journal International Journal of Economics Development Research (IJEDR)
Fakhruddin Agung Laksono
Universitas Hayam Wuruk Perbanas
Economics, Econometrics & Finance Social Sciences

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B2B Customer Segmentation Based on Customer Lifetime Value Concept and RFM Modeling Fakhruddin Agung Laksono; Basuki Rachmat; Yudi Sutasrso
International Journal of Economics Development Research (IJEDR) Vol. 4 No. 3 (2023): International Journal of Economics Development Research (IJEDR)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ijedr.v5i1.4295

Abstract

The company has limited resources to use in implementing marketing strategies for its customers. The first step to be able to develop an effective and efficient marketing strategy is to divide customers into several large groups based on their similarities. The company needs to allocate its limited resources proportionally to groups of customers based on the value and benefits that those customers can contribute to the company. One of the bases for customer grouping is based on the concept of Customer Lifetime Value (CLV) with Recency, Frequency, and Monetary (RFM) modeling. CLV ratings show how much value and benefits customers can bring to a company. This study conducted a cluster analysis with the K-means algorithm on 351 customers based on their RFM value. The number of clusters is most effectively obtained through the elbow method. Cluster analysis produces 4 customer clusters that have different characteristics and are ranked based on their CLV values. Cluster names and marketing strategy recommendations for each cluster are arranged based on their characteristics and CLV rating. The four clusters formed are the Non-Valuable Customers cluster, VIP Customers cluster, Valuable Customers cluster, and Potentially Valuable Customers cluster.
Co-Authors Basuki Rachmat Yudi Sutasrso