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CLV: The Databased Approach

机译:CLV:数据库方法

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It is becoming increasingly clear from the literature that there is a need for a metric that can objectively measure future profitability of the customer to the firm. This paper traces the emergence of such a metric-the customer lifetime value (CLV) and discusses the two measures of computing CLV-the aggregate approach and the individual level approach. Subsequently, eight strategies that are available to firms for maximizing CLV are discussed. These strategies assist firms in deciding how to: select the best customer, make loyal customers profitable, optimally allocate the resources, pitch the right product to the right customer at the right time, link acquisition and retention to profitability, prevent customer attrition, encourage multi-channel shopping behavior and maximize brand value. Each of these strategies was successfully implemented by different firms across various industries, resulting in significant increases in the bottom-line. Further, the challenges in implementing a CLV-based framework in a B-to-C organization are also discussed with an illustration.
机译:从文献中变得越来越清楚的是,需要一种可以客观地衡量客户未来对公司的获利能力的度量。本文追溯了这种度量标准的出现-客户生命周期价值(CLV),并讨论了计算CLV的两种方法-聚合方法和个人级别方法。随后,讨论了可用于企业最大化CLV的八种策略。这些策略可帮助企业决定如何:选择最佳客户,使忠实客户获利,优化分配资源,在合适的时间向合适的客户推介合适的产品,将获取和保留与利润联系起来,防止客户流失,鼓励多元化渠道的购物行为并最大化品牌价值。这些策略中的每一项都由各个行业的不同公司成功实施,导致底线显着增加。此外,还通过插图讨论了在B2C组织中实现基于CLV的框架的挑战。

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