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ACADEMICIA: An International Multidisciplinary Research Journal, 2017
Customer Churn, one of the most important issues in customer relationship management and marketing is especially in industries such as telecommunications, the financial and insurance. In recent decades much research has been done in this area. In this research, the index set for the reasons set reason churn customers for our customers is of particular ...
Vineeta Vineeta, Akanksha Bharti
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Customer Churn, one of the most important issues in customer relationship management and marketing is especially in industries such as telecommunications, the financial and insurance. In recent decades much research has been done in this area. In this research, the index set for the reasons set reason churn customers for our customers is of particular ...
Vineeta Vineeta, Akanksha Bharti
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Customer Churn Prediction for Telecom Services
2012 IEEE 36th Annual Computer Software and Applications Conference, 2012Customer churn is a big concern for telecom service providers due to its associated costs. This short paper briefly explains our ongoing work on customer churn prediction for telecom services. We are working on data mining methods to accurately predict customers who will change and turn to another provider for the same or similar service.
Utku Yabas +2 more
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TreeLogit Model for Customer Churn Prediction
2006 IEEE Asia-Pacific Conference on Services Computing (APSCC'06), 2006For the purpose of improving the predictive accuracy and interpret ability of churn prediction model, TreeLogit model, which integrates the advantage of AD tree model and logistic regression model, is proposed in this paper to predict customers' churn propensities.
Jiayin Qi +3 more
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Customer Churn Prediction in Virtual Worlds
2015 IIAI 4th International Congress on Advanced Applied Informatics, 2015With the emerging of social network websites, more and more social network online games are booming. Players have more alternatives of VWs games, while platform providers suffer from the problems of high customer turnover rate and low-customer-loyalty.
Hsiu-Yu Liao +3 more
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Predicting Customer Churn for Insurance Data
2020Most organisations employ customer relationship management systems to provide a strategic advantage over their competitors. One aspect of this is applying a customer lifetime value to each client which effectively forms a fine-grained ranking of every customer in their database. This is used to focus marketing and sales budgets and, in turn, generate a
Michael Scriney +2 more
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Adoption of Churn Recognition System to Predict Customer Churn
2023In the cutthroat competitive arena, it is a very challenging task for any enterprise to make a balance between retaining its existing loyal customers and attracting new customers. It is a tedious task to find the right segment of active customers and understand the reason behind churn numbers. It is said that it is five times more costly to attract new
Yuvraj Sharma +2 more
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Customer Churn Prediction by Hybrid Model
2006In order to improve the performance of a data mining model, many researchers have employed a hybrid model approach in solving a problem. There are two types of approach to build a hybrid model, i.e., the whole data approach and the segmented data approach.
Jae Sik Lee, Jin Chun Lee
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Customer Churn Prediction in B2B Contexts
2019While business-to-customer (B2C) companies, in the telecom sector for instance, have been making use of customer churn prediction for many years, churn prediction in the business-to-business (B2B) domain receives much less attention in existing literature.
Iris Figalist +3 more
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Predicting Customer Churn at QWE Inc.
Darden Business Publishing Cases, 2017This case exposes students to predictive analytics as applied to discrete events with logistic regression. The VP of customer services for a successful start-up wants to proactively identify customers most likely to cancel services or “churn.” He assigns the task to one of his associates and provides him with data on customer behavior and his intuition
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Predicting Probability of Customer Churn in Insurance
2016We focus on a real case of the motor insurance sector. We propose four different methods to predict lapsing from a portfolio of policies. We present a comparative analysis between three different performance measures in order to assess the predictive power of each model. Our comparison analyses the outcomes of a logistic regression, a conditional tree,
Catalina Bolancé +2 more
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