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Model of Customer Lifetime Value with Two Customer and a Former Customer State

机译：客户终身价值模型，两位客户和前客户州

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A model of Customer Lifetime Value can be designed by a stochastic process of Markov Chain. In the model, there are several states that must be passed by a customer. Every two states have a transition probability as a representation of state moving probability by a customer. Transition from a state to another state is assumed to fill Markov chain. In previous research, the model only has one customer state and some former customer states. Here, the model is built by two customer states and a former customer state. In real conditions, many companies are found to have more than one product variant for one type of goods/services. Typically variant differences are based on differences in taste, quality, volume/mass or services. Each variant usually has its own customer. But do not rule out that a customer can buy the product by alternating variants. The problem is how to calculate the customer lifetime value for each product variant. The expected result is an increase the total customer lifetime value compared with the previous model.
机译：客户终身值的模型可以通过马尔可夫链的随机过程来设计。在该模型中，有几个必须由客户传递的状态。每两个州都有一个过渡概率作为客户的状态移动概率的表示。假设从状态转换到另一个国家填补马尔可夫链。在以前的研究中，该模型只有一个客户州和一些以前的客户状态。在这里，该模型由两个客户国家和前客户州构建。在真实的条件下，许多公司被发现为一种类型的商品/服务有多个产品变体。通常，变体差异基于味道，质量，体积/质量或服务的差异。每个变体通常都有自己的客户。但不要排除客户可以通过交替的变体购买产品。问题是如何计算每个产品变体的客户生命周期值。与以前的模型相比，预期结果是提高客户总生终身值。

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