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Customer Churn in Subscription Business Model—Predictive Analytics on Customer Churn
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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Behavior Analysis of Customer Churn for a Customer Relationship System: An Empirical Case Study [PDF]
This article describes how the bank industry in Taiwan must function in today's tough and fiercely competitive domestic credit card market and subdued global market.
Li Chen Cheng; Chia-Chi Wu; Chih-Yi Chen
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Churn prediction analysis of telecom customers using svm, random forest and logistic regression models using orange data mining tools [PDF]
This 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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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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Customer 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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Telecommunications Customer Churn and Loyalty Intention [PDF]
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
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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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
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Factors Influence Customer Churn on Internet Service Provider in Indonesia
Rapid growth of internet users in Indonesia and the Covid-19 pandemic situation has prompted the emergence of new Internet Service Providers in line with the increasing demand for internet access.
Handi Aulia Triyafebrianda +1 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 ...
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