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An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach
With the rising growth of the telecommunication industry, the customer churn problem has grown in significance as well. One of the most critical challenges in the data and voice telecommunication service industry is retaining customers, thus reducing ...
Latifah Almuqren +2 more
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Customer churn, the termination of customer relationships with a business or service, is a critical metric that profoundly impacts a company's success. Effectively managing churn not only prevents revenue loss but also provides a competitive advantage by boosting customer retention rates.
openaire +2 more sources
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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A Non-Sequential Representation of Sequential Data for Churn Prediction [PDF]
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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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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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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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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Customer Segmentation and Churn Prediction via Customer Metrics
In this study, it is aimed to predict whether customers operating in the factoring sector will continue to trade in the next three months after the last transaction date, using data-driven machine learning models, based on their past transaction movements and their risk, limit and company data.
Tunahan Bozkan +3 more
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Causal Analysis of Customer Churn Using Deep Learning [PDF]
Customer churn describes terminating a relationship with a business or reducing customer engagement over a specific period. Two main business marketing strategies play vital roles to increase market share dollar- value: gaining new and preserving ...
Huo, H, Rudd, DH, Xu, G
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Improving Shopping Mall Revenue by Real-Time Customized Digital Coupon Issuance
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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