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INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023 Customers are becoming more drawn to the standard of service (QoS) offered by businesses in the present. However, the present day shows greater rivalry in offering clients technologically cutting-edge QoS. However, efficient communication systems may help the organization attract new clients, preserve client connections, and enhance client retention by
Rani, Dr. D. Esther +4 more
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Agent based modelling and simulation: An examination of customer retention in the UK mobile market [PDF]
, 2012 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Customer retention is an important issue for any business, especially in mature markets such as the UK mobile market where new customers can only be ...
Hassouna, Mohammed Bassam
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A Stacking-Based Data Mining Solution to Customer Churn Prediction [PDF]
, 2022 In today’s competitive world, organizations are in a constant struggle to retain their current customers while attracting new customers through various methods. Customer churn is a major challenge in different industries and companies.
Seyyedamiri, N. +4 more
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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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International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: Customer churn analysis is a critical process for businesses to understand the reasons why customers stop using their products or services. It involves examining customer data and identifying patterns that can indicate potential churn. By analyzing this data, businesses can take proactive measures to retaincustomers, such as improving the ...
Tahseen Begum +3 more
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SN Applied Sciences, 2021 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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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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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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A Non-Sequential Representation of Sequential Data for Churn Prediction [PDF]
, 2009 We investigate the length of event sequence giving best predictions when using a continuous HMM approach to churn prediction from sequential data. Motivated by observations that predictions based on only the few most recent events seem to be the most ...
Eastwood, Mark +4 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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