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- Customer lifetime value (CLV) is the core of customer relationship management. 摘要客户终生价值(CLV)是客户关系管理的核心。
- The key point of customer relationship management is how to quantify customer lifetime value(CLV). 客户关系管理最基本的问题是量化顾客终身价值。
- The importance identification of customer should be made based on customer lifetime value (CLV). 摘要以客户终身价值为准则对客户重要程度进行识别。
- On the basis of studying customer lifetime value, divides customer lifetime value (CLV) into customer current value (CCV) and customer future value (CFV), and gets the calculating method of these two variables. 在研究客户生命周期价值理论的基础上，改造原有客户生命周期价值测算模型，将客户生命周期价值(CLV)分解为客户当前价值(CCV)与客户预期价值(CFV)，并得到以上两个变量的具体测算方法；
- In this study, we, absorbing some conclusions about Complex Networks, take the Spreading Effectiveness into account, and give customer lifetime value new meaning and calculation. 本文吸收了复杂网络的研究成果，将此波及效应计入其中，给客户终身价值赋予了新的含义和计算方法。
- The concept of broadsense customer lifetime value is put forward, and its formula in subsequence based onprobability theory. 提出了“广义客户终身价值”的概念，并运用概率论推出了其计算公式。
- However, customer lifetime value models usually ignore the impact of abnormal events due the lack of data, and therefore overestimate/underestimate the true customer lifetime value. 然而受限于资料取得不易，顾客终身价值模型通常忽略异常事件对顾客终生价值所造成的干扰，导致估计值与实际值的偏离。
- Keywords customer loyalty;customer lifetime value（CLV）;customer equity segmentation;customer equity management（CEM）; 顾客忠诚;顾客终生价值;顾客资产细分;顾客资产管理;
- customer lifetime value (CLV) 顾客终生价值
- CLV(customer lifetime value) 客户终身价值
- Foreign customers lifetime value research 国外顾客终生价值研究
- Study on Model of Telecom Customer Lifetime Value Base on Data Miner 基于数据挖掘的电信客户终生价值模型的研究
- customers lifetime value (CLV) 客户终身价值
- Customer Lifetime Value;Purchase Frequence;already;after;Member Characteristic;Purchase Diversification;Purchase Type;Drugstore 顾客终身价值;购买频率;购买多样性;会员特性;消费类型;药局
- The default tombstone lifetime value is 60 days. 默认的逻辑删除生存期值为60天。
- customer lifetime value 客户终生价值
- Customer lifetime value (CLE) 顾客生涯价值
- Make better business decisions when you leverage your key customer data to calculate the true lifetime value of your customers, products and services. 使您在利用重要客户的数据来计算客户、产品和服务的真实终生价值时,能够更好地进行业务决策。
- Use customer demographics or powerful behavior metrics like recency[?], frequency[?] and lifetime value to help you predict which segments are most likely to buy and uncover customer purchase intent. 借助于客户统计方法或强大的客户行为指标（如新客户、来访频率、生命周期等），您可以预测哪些客户群最有可能实施购买行为或具有购买意向。
- The lifetime value received in the Responder Lifetime Notify is below the Windows 2000 configured minimum value. Please fix the policy on the peer machine. 在请求器寿命通知里收到的寿命值低于Windows 2000配置的最小值。请整理对等机器上的策略。
