CUSTOMER SEGMENTATION AND PROFILING WITH RFM ANALYSIS
نویسندگان
چکیده
منابع مشابه
Customer Clustering using RFM analysis
RFM (Recency, Frequency, Monetary) analysis is a method to identify high-response customers in marketing promotions, and to improve overall response rates, which is well known and is widely applied today. Less widely understood is the value of applying RFM scoring to a customer database and measuring customer profitability. RFM analysis is considered significant also for the banks and their spe...
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Segmentation based on RFM (Recency, Frequency, and Monetary) has been used for over 50 years by direct marketers to target a subset of their customers, save mailing costs, and improve profits. RFM analysis is commonly performed using the Arthur Hughes method, which bins each of the three RFM attributes independently into five equal frequency bins. The resulting 125 cells are depicted in a tabul...
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Data mining is a powerful new technique to help companies mining the patterns and trends in their customers data, then to drive improved customer relationships, and it is one of well-known tools given to customer relationship management (CRM). However, there are some drawbacks for data mining tool, such as neural networks has long training times and genetic algorithm is brute computing method. ...
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Since the increased importance is placed on customer equity in today’s business environment, many firms are focusing on the notion of customer loyalty and profitability to increasing market share. Building successful customer relationship management (CRM), a firm starts from identifying customers’ true value and loyalty since customer value can provide basic information to deploy more targeted ...
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This paper aims to explore the applicability of the RFM (Recentness,Frequency,Monetary) model in the customer segmentation of auto services companies, for which it obtains the weight of each index through the method of analytic hierarchy process (AHP) and segments the customers with K-means clustering method. This paper divides customers into several segments by comparing customer lifetime valu...
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ژورنال
عنوان ژورنال: Turkish Journal of Marketing
سال: 2020
ISSN: 2458-9748
DOI: 10.30685/tujom.v5i1.84