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Customer Churn Prediction [PDF]
Churned customers identification plays an essential role for the functioning and growth of any business. Identification of churned customers can help the business to know the reasons for the churn and they can plan their market strategies accordingly to enhance the growth of a business. This research is aimed at developing a machine learning model that
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Intelligent data analysis approaches to churn as a business problem: a survey [PDF]
Globalization processes and market deregulation policies are rapidly changing the competitive environments of many economic sectors. The appearance of new competitors and technologies leads to an increase in competition and, with it, a growing ...
García Gómez, David +2 more
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A Model for Customer Churn Management of an Internet Service Provider [PDF]
Customer churning is one of the most important issues facing Internet Service Providers in a competitive and rapidly saturating market. Due to the high costs associated with attracting new customers, ISPs have turned to a customer retention approach that
Sahar Amiri +2 more
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Churn prediction based on text mining and CRM data analysis [PDF]
Within quantitative marketing, churn prediction on a single customer level has become a major issue. An extensive body of literature shows that, today, churn prediction is mainly based on structured CRM data.
Heitz, Christoph +2 more
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CUSTOMER CHURN PREDICTION ANALYSIS
The Customers are the base of many successful businesses; thus, all the sectors are starting to understand how important it is to gain client satisfaction. The technical infrastructure has expanded quickly, changing how businesses operate. Due to growing business competition, the importance of marketing techniques, and customers' increasingly aware ...
E Padma Priya +2 more
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Telecom Customer Churn Prediction
Customer churn is often referred to as customer attrition, or customer defection which is the rate at which the customers are lost. Telecom companies often use customer churn as a key business metrics to predict the number of customers that will leave a telecom service provider. Churn is significant in the telecommunication industry because it directly
Sundararajan, Abhijit, Gursoy, Kemal
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Improving customer churn prediction by data augmentation using pictorial stimulus-choice data [PDF]
The purpose of this paper is to determine the added value of pictorial stimulus-choice data in customer churn prediction. Using Random Forests and 5 times 2 fold cross-validation, this study analyzes how much pictorial stimulus choice data and survey ...
Ballings, Michel +2 more
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Customer churn prediction model: a case of the telecommunication market
The telecommunications market is well developed but is characterized by oversaturation and high levels of competition. Based on this, the urgent problem is to retain customers and predict the outflow of customer base by switching subscribers to the ...
Fareniuk Yana +3 more
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Customer churn has been considered as one of the key issues in the operations of the corporate business sector, as it influences the turnover directly.
C. K. Praseeda, B. L. Shivakumar
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Predicting Customer Churn using ensemble learning: Case Study of a Fixed Broadband Company
Technology advancement has developed a shift perception towards better service from internet providers, and the power to move easily to another provider to secure improved quality results in customer churn.
Arian Dhini, Muhammad Fauzan
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