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Customer Behavioral Segmentation Using RFM Analysis

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dc.contributor.author Emran, Md.
dc.date.accessioned 2022-07-30T05:17:00Z
dc.date.available 2022-07-30T05:17:00Z
dc.date.issued 2022-01-13
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/8337
dc.description.abstract Most of the companies faced a problem to find out which is most potential customers of that company. It is very essential to conduct this communication for business incoming enhancement. The relationship between a business organization and its customers is called Customer Relation Management (CRM). This research main aims to find out who is most valuable customers and divide the customer into different subgroup by using their similar behavior, demographic and geographic characteristics, like: age, region, country, social, lifestyle, etc. Furthermore, the organization be able to categorize customer's behavior, attitude, characteristics. Moreover, companies can understand which customers are most important and which are not by their wisdom. The method of dividing the customer based on their behavior in the different segments is called customer behavioral segmentation. en_US
dc.language.iso en_US en_US
dc.publisher ©Daffodil International University en_US
dc.subject Machine learning en_US
dc.subject Customer relationship management en_US
dc.subject Algorithm en_US
dc.title Customer Behavioral Segmentation Using RFM Analysis en_US
dc.title.alternative a Machine Learning Approach en_US
dc.type Thesis en_US

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