客戶(hù)流失分析外文翻譯(已修改)
2025-11-12 03:53 本頁(yè)面
【正文】 客戶(hù)流失分析外文翻譯 畢業(yè)論文 (設(shè)計(jì) )外文翻譯 題 目 : 客戶(hù)流失問(wèn)題研究 一、外文原文 標(biāo)題 :Customer churn analysis ? a case study 原文 : ABSTRACT Customer value analysis is critical for a good marketing and a customer relationship management strategy. An important ponent of this strategy is the customer retention rate. Customer retention rate has a strong impact on the customer lifetime value, and understanding the true value of a possible customer churn will help the pany in its customer relationship management. Conventional statistical methods are very successful in predicting a customer churn. The goal of this study is to apply logistic regression techniques to predict a customer churn and analyze the churning and nochurning customers by using data from a personal retail banking pany. 1. Introduction The subject of customer retention, loyalty, and churn is receiving attention in many industries. This is important in the customer lifetime value context. A pany will have a sense of how much is really being lost because of the customer churn and the scale of the efforts that would be appropriate for retention campaign. The mass marketing approach cannot succeed in the diversity of consumer business today. Customer value analysis along with customer churn predictions will help marketing programs target more specific groups of customers Personal retail banking sector is characterized by customers who stays with a pany very long time. Customers usually give their financial business to one pany and they won’t switch the provider of their financial help very often. In the pany’s perspective this produces a stabile environment for the customer relationship management. Although the continuous relationships with the customers the potential loss of revenue because of customer churn in this case can be huge. This paper will present a customer churn analysis in personal retail banking sector. The goal of this paper is twofold. First the churning customers are analyzed in banking context. The second objective is a forecast of churning customers based on a logistic regression model. After the introduction this paper has 6 sections. The background for customer lifetime value concept is presented in the chapter 2. There is also a literature review about the customer churn included in the chapter 2. The methods used in this study are presented in the chapter 3 while a closer look at the case data is taken in the chapter 4. The focus of this case study is described in the chapter 5. All the results of the churn prediction are presented in the chapter 6. And conclusions of this study are left for the chapter 7. The analysis part of this paper was conducted by using both Matlab [20] and SPSS [21]software. 2. The need for customer churn prediction Our case data in this paper was provided by a pany operating in a retail banking sector. In personal retail banking a pany must operate on a long term customer strategy, young customers are recognized as being unprofitable in the early stage in lifecycle but will bee profitable later on. So as the customer relationships last, maybe decades, the pany must address the value of a potential loss of a customer. The customer lifetime value analysis will help to face this challenge. . The customer lifetime value concept The customer lifetime value is usually defined as the total ine from the customer over his lifetime [1
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