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Valuing Customer Portfolios under Risk-Return-Aspects: A Model-based Approach and its Application in the Financial Services Industry

机译:在风险收益方面评估客户投资组合:基于模型的方法及其在金融服务业中的应用

摘要

For identifying and selecting the most profitable customers in terms of the shareholder value, the Customer Lifetime Val-ue (CLV) gained broad attention in marketing literature. However, in this paper, the authors argue that the CLV does not take into account the risk associated with customer relationships and consequently does not conform to the principle of shareholder value. Therefore, a quantitative model based on financial portfolio selection theory is presented that considers the expected CLV of customer segments as well as their risk. The latter includes the correlation among the segments. It is shown how imperfect correlation among segments may be employed to maximize the value of the customer portfolio. Since portfolio selection theory does not allow for the consideration of fixed costs, it is extended by a heuristic method consisting of two algorithms, referred to as “subtract”- and “add”-approaches.
机译:为了根据股东价值确定和选择最有利可图的客户,客户生命周期价值(CLV)在营销文献中引起了广泛关注。但是,在本文中,作者认为CLV并未考虑与客户关系相关的风险,因此不符合股东价值原则。因此,提出了一种基于金融投资组合选择理论的定量模型,该模型考虑了客户细分的预期CLV及其风险。后者包括各段之间的相关性。它显示了细分之间的不完美关联如何可以用来最大化客户投资组合的价值。由于投资组合选择理论不允许考虑固定成本,因此通过启发式方法对其进行扩展,该方法由两种算法组成,分别称为“减法”和“加法”。

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