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Data warehouse based analysis on CDR to retain and acquire customers by targeted marketing

机译:基于CDR的数据仓库分析,通过有针对性的营销来保留和获取客户

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Retaining an existing customer than acquiring a new one is less expensive in terms of marketing cost, bonus, and incentives offered etc. Telecommunication industry across the globe is stiff competitive environment where market is almost saturated and main focus of customer service becomes retaining existing customers and snatching others' customers to increase market share as well as profit. At the same time telecom industry facing the problem of churn or attrition more than anything especially for prepaid customers as the customers could switch the service providers easily. Telecom operators generate huge volume of call detail records every day for every call, SMS or internet access made by its customers. Telecom operators use these huge operational data for business processing to understand customer behavior. In this paper a mechanism is developed to store CDR data in a suitable Data Warehouse (DW) schema and analytically process these using OLAP tools to understand the prepaid customers usage, spending and propensity to marketing offers. Depending on the usage pattern proper segmentation of the customers has been done and they have been categorized for different types of targeted marketing offers and benefits to retain as well as acquire new customers.
机译:在营销成本,奖金和激励措施等方面,留住现有客户要比获得新客户便宜。全球电信行业是竞争激烈的竞争环境,市场几乎已饱和,客户服务的主要重点变成了留住现有客户和客户。抢夺其他客户,以增加市场份额和利润。同时,电信行业面临的客户流失或损耗问题比其他任何事情都特别多,特别是对于预付费客户而言,因为客户可以轻松切换服务提供商。电信运营商每天针对其客户进行的每次呼叫,SMS或Internet访问生成大量的呼叫详细记录。电信运营商使用这些庞大的运营数据进行业务处理,以了解客户行为。在本文中,开发了一种机制来将CDR数据存储在合适的数据仓库(DW)模式中,并使用OLAP工具对这些数据进行分析处理,以了解预付费客户的使用情况,支出和市场报价的倾向。根据使用模式,已经对客户进行了适当的细分,并根据不同类型的有针对性的市场营销优惠和利益对其进行了分类,以保留和获取新客户。

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