Customer churn prediction model: a case of the telecommunication market
ECONOMICS, 2022 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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Improving customer churn prediction by data augmentation using pictorial stimulus-choice data [PDF]
, 2012 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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Predicting Customer Churn using ensemble learning: Case Study of a Fixed Broadband Company
International Journal of Technology, 2021 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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Modeling Customer Lifetimes with Multiple Causes of Churn [PDF]
, 2010 Customer retention and customer churn are key metrics of interest to marketers, but little attention has been placed on linking the different reasons for which customers churn to their value to a contractual service provider.
David A. Schweidel +8 more
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Improving Shopping Mall Revenue by Real-Time Customized Digital Coupon Issuance
IEEE Access, 2023 With the development of big data and deep learning technology, big data and deep learning technology have also been applied to the marketing field, which was a part of business administration.
Daeho Seo, Yongmin Yoo
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The role of economic and psychological costs in service elimination [PDF]
, 2017 Service elimination (SE) requires systematic planning and execution to retain customers. However, service providers struggle with finding the best way to minimize customer churn following SE.
Kolos, Krisztina, Somosi, Ágnes
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Customer Churn in Subscription Business Model—Predictive Analytics on Customer Churn
BCP Business & Management, 2023 There is a growing tendency for more companies to develop towards a subscription business model. Under such a trend, it is important to learn about the customer churn rate within the business, learn from it and adjust business strategies accordingly.
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Churn prediction analysis of telecom customers using svm, random forest and logistic regression models using orange data mining tools [PDF]
E3S Web of ConferencesThis research aims to apply classification algorithms to telecommunication customer churn data using Orange Data Mining. The methods used include Support Vector Machine (SVM), Random Forest and Logistic Regression. The dataset used is secondary data, the
Nurtriana Ana +3 more
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Analysis and Classification of Customer Churn Using Machine Learning Models
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Analysis studies of customer loss (customer churn) have been used for years to increase profitability and build customer relationships with companies.
Muhammad Maulana Sidiq Nurhidayat +1 more
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Telecommunications Customer Churn and Loyalty Intention [PDF]
Marketing and Management of Innovations, 2019 Nowadays the telecommunications sector is becoming very complex Because of the panoply of high-speed technological services. Customers are abandoning the services offered by telecommunications operators because of their dissatisfaction with the services they offer. «Churn» or the migration of customers from one telecommunications operator to another is
Mbarek, R., Baeshen, Ya.
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