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|3 10.33704/1748-007-003-056
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|a eng
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|b الجزائر
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|a Belhadj, Tarek
|e Author
|9 514361
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|a Customer Value Analysis Using Weighted RFM Model:
|b Empirical Case Study
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|b جامعة طاهري محمد، بشار - كلية العلوم الاقتصادية والعلوم التجارية وعلوم التسيير
|c 2021
|g ديسمبر
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|a 932 - 948
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|a بحوث ومقالات
|b Article
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|b The aim of this article is to provide a comprehensive methodology to perform customer value analysis. First, we review the CLV concept, RFM model and other related concepts. Then a case study for transactions database of a chosen company is presented. We use Weighted RFM (recency, frequency and monetary) model to determine customers’ lifetime value (CLV) and segment them based on k means clustering approach. The relative weights of RFM model were determined by analytic hierarchy process (AHP). Findings revealed that CLV analysis using RFM measures can help the company better understand its customers and locate the most profitable customers. Therefore, the company can apply marketing strategies to maintain customer relationships more effectively.
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|a الاستراتيجيات التسويقية
|a قيم العملاء
|a العلاقات العامة
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692 |
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|b Analytical Hierarchy Process
|b Customer Lifetime Value
|b Customer Relationship Management
|b K-Means Clustering
|b RFM Model
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|4 الاقتصاد
|6 Economics
|c 056
|e A-Bashaer Economic Journal
|f Mağallaẗ al-bašā’ir al-iqtiṣādiyaẗ
|l 003
|m مج7, ع3
|o 1748
|s مجلة البشائر الاقتصادية
|v 007
|x 2437-0932
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|u 1748-007-003-056.pdf
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|d y
|p y
|q n
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|a EcoLink
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|c 1203300
|d 1203300
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