Data mining techniques have been used widely in the area of customer relationship management (CRM). In this study, we have applied data mining techniques to address a problem in business-to-business (B2B) setting. In a manufacturer-retailer-consumer chain, a manufacturer should improve its relationship with retailers to continue its business. Segmentation is a useful tool for identifying groups...

Data can be processed to produce useful information for an organization/company. Example of transaction data that is segment customers. Customer segmentation needs done so sellers find out market conditions and taken into consideration in developing marketing strategies. also make know their customers well. Of course, customer at the Hijabiken Online Store, this store sells Muslim products such...

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,...

Customer experience is a key component in increasing sales numbers. Customers are important assets that must be kept up for corporation or firm. Prioritizing customer service one way to protect client loyalty. To ensure priority right on target, this research was conducted groups of consumers who anticipated have high business prospects. The 2011 retail online shop dataset with 379,980 records ...