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A study of customer retention and churn rate management through data mining and customer profiling of Malaysian mobile user

机译:通过数据挖掘和马来西亚移动用户的客户分析研究客户保留率和流失率管理

摘要

This study aims to investigate the needs and wants of prepaid mobile service subscribers in Malaysia and identify usage patterns of industry churners, ultimately to offer the right product and value to target customers within a highly competitive market. This paper discusses the challenges faced by mobile companies in relation to high churn rates (sometimes called attrition rate), maintaining customer loyalty and the presence of stiff competition. Data was collected through database extraction from a telecommunication company in Malaysia which includes available demographic and behavioral data of the subscribers. Apriori association algorithm was employed to determine product bundling and C&R decision trees were used for customer profiling. It was discovered that there were three main product bundles subscribed by the prepaid mobile consumers. A brief look at the behavioral usage pattern of churners was also discussed. These information help mobile service providers to be more aware of their customer needs and to intelligently predict potential market churners.
机译:这项研究旨在调查马来西亚预付费移动服务用户的需求和需求,并确定行业搅局者的使用模式,最终为竞争激烈的市场中的目标客户提供合适的产品和价值。本文讨论了移动公司在高流失率(有时称为流失率),保持客户忠诚度和激烈竞争方面所面临的挑战。数据是从马来西亚一家电信公司的数据库中提取的,其中包括订户的可用人口统计和行为数据。采用Apriori关联算法确定产品捆绑,并使用C&R决策树进行客户分析。据发现,预付费移动消费者订购了三个主要产品包。还简要讨论了搅拌器的行为使用模式。这些信息可帮助移动服务提供商更加了解其客户需求,并智能地预测潜在的市场动荡。

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