Results 41 to 50 of about 856,045 (240)
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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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.
openaire +1 more source
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
doaj +1 more source
Ensembles of probability estimation trees for customer churn prediction [PDF]
, 2010 Customer churn prediction is one of the most, important elements tents of a company's Customer Relationship Management, (CRM) strategy In tins study, two strategies are investigated to increase the lift. performance of ensemble classification models, i.e
A. Lemmens +20 more
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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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JOIV: International Journal on Informatics Visualization, 2023 The classification of churn is driven by the potential risks e-commerce companies face, such as losing customers who discontinue their service usage or churn.
Ilham Huda +2 more
doaj +1 more source
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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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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Social Sciences and Humanities OpenCustomer churn directly leads to the weakening of the economic efficiency of an operator and even the loss of its competitive advantage in the market share. The identification and prediction of customer churn in the era of interconnection has become more
Liu Kun +2 more
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