An Empirical Assessment of Customer Lifetime Value Models within Data Mining
نویسندگان
چکیده
منابع مشابه
CUSTOMER CLUSTERING BASED ON FACTORS OF CUSTOMER LIFETIME VALUE WITH DATA MINING TECHNIQUE
Organizations have used Customer Lifetime Value (CLV) as an appropriate pattern to classify their customers. Data mining techniques have enabled organizations to analyze their customers’ behaviors more quantitatively. This research has been carried out to cluster customers based on factors of CLV model including length, recency, frequency, and monetary (LRFM) through data mining. Based on LRFM,...
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Abstract Customer Lifetime Value (CLV) is known as an important concept in marketing and management of organizations to increase the captured profitability. Total value that a customer produces during his/her lifetime is named customer lifetime value. The generated value can be calculated through different methods. Each method considers different parameters. Due to the industry, firm, business...
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ژورنال
عنوان ژورنال: Baltic Journal of Modern Computing
سال: 2018
ISSN: 2255-8942,2255-8950
DOI: 10.22364/bjmc.2018.6.4.08