RFM customer profitability analysis [PDF]
Marketing (Beograd. 1991), 2008 Measuring the customer profitability is a very important activity for each and every modern marketing oriented firm. By identifying profitable customer segments, the efficiency and the effectiveness of the marketing strategies can be significantly ...
Marinković Veljko
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Clustering optimization in RFM analysis Based on k-Means
Indonesian Journal of Electrical Engineering and Computer Science, 2020 RFM stands for Recency, Frequency, and Monetary. RFM is a simple but effective method that can be applied to market segmentation. RFM analysis is used to analyze customer’s behavior which consists of how recently the customers have purchased (recency), how often customer’s purchases (frequency), and how much money customers spend (monetary).
Rendra Gustriansyah +2 more
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Association between low-density lipoprotein and structural changes in the knee joint of patients with symptomatic osteoarthritis is mediated by relative fat mass [PDF]
European Journal of Medical ResearchBackground Knee osteoarthritis (KOA) is strongly associated with obesity, yet body mass index (BMI) fails to capture fat distribution or metabolic activity, limiting its utility in understanding KOA pathogenesis.
Qiuwei Li, Kaida Bo, Cailiang Shen
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Comparison of the RFM Model's Actual Value and Score Value for Clustering
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Clustering algorithms and Recency-Frequency-Money (RFM) models are widely implemented in various sectors of e-commerce, banking, telecommunications and other industries to obtain customer segmentation.
Samidi +2 more
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Association between relative fat mass and asthma risk in middle-aged and elderly Chinese population: a retrospective cohort study based on the CHARLS database [PDF]
BMC Public HealthObjective This study aims to clarify the potential association between Relative Fat Mass (RFM) and new-onset asthma. Methods A retrospective cohort study design was adopted, with data sourced from the China Health and Retirement Longitudinal Study ...
Yujia Liu, Rui Mao, Yuying Li
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Association and discriminative performance of relative fat mass for frailty index in US older adultsoxy_comment_end [PDF]
Scientific ReportsThis study aims to examine the association between Relative Fat Mass (RFM) and the frailty index (FI) among U.S. adults aged 60 years and older, and to assess the discriminative performance of RFM for high FI status.
Jie Xu, Meng Chen, Wei Zheng, Yong Hu
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Body roundness index vs. Relative fat mass: associations with cardiovascular-kidney-metabolic syndrome in a cross-sectional study [PDF]
Diabetology & Metabolic SyndromeBackground Research has indicated that the primary cause of cardiovascular-kidney-metabolic (CKM) syndrome is excess or dysfunctional adipose tissue.
Jun Qiu +3 more
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The RFM Model Analysis for VIP Customer
International Journal of Knowledge Management, 2021 Numerous firms accumulate large quantities of data or transactions after importing information systems and services, which leads to troubles with data procedure. Firms also have demands to find customers’ information from large datasets and to understand how to develop marketing strategies accurately to adjust their operational methods. Therefore, this
Tung-Hsiang Chou, Shu-Chen Chang
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CUSTOMER SEGMENTATION AND PROFILING WITH RFM ANALYSIS
Turkish Journal of Marketing, 2020 This paper is a case study on segmentation and profiling of customers according to their lifetime value by using the RFM (Recency, Frequency and Monetary Value) model which is an analytical method for behavioral customer segmentation. Real customer data that is gathered from a fuel station in Istanbul, Turkey is used for the case study.
İbrahim SABUNCU +2 more
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Detecting Valuable Customers Using the Trade Patterns of Financial Transactions Applying Integrated RFM and OLAP [PDF]
International Journal of Industrial Engineering and Production Research, 2021 One of the challenges that banks are faced with is recognition and differentiation of customers and providing customized services to them. Recognizing valuable customers based on their field of business is one of the key objectives and competitive ...
Shima Khalilinezhad +3 more
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