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Prediction of Customer Behavior Changing via a Hybrid Approach
IEEE Open Journal of the Computer SocietyThis study proposes a hybrid approach to predict customer churn by combining statistic approaches and machine learning models. Unlike traditional methods, where churn is defined by a fixed period of time, the proposed algorithm uses the probability of ...
Nien-Ting Lee +3 more
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Customers Suffer From Employee Churn: High Turnover Makes It Harder to Provide Top Service [PDF]
, 2009 Key Findings: • As rates of voluntary turnover climb within key business units, customers are more likely to report bad customer service. • When new workers arrive, established workers have to take time away from customer service to train the
Center for Advanced Human Resource Studies, ILR School, Cornell University.
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A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction
InformationChurn prediction has become one of the core concepts in customer relationship management within the insurances, telecom, and internet service provider industries, which is essential in customer retention.
Nabil M. AbdelAziz +4 more
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DEPAS: A Decentralized Probabilistic Algorithm for Auto-Scaling
, 2012 The dynamic provisioning of virtualized resources offered by cloud computing infrastructures allows applications deployed in a cloud environment to automatically increase and decrease the amount of used resources.
Calcavecchia, Nicolo M. +4 more
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Data-driven approaches to predicting customer churn in a non-contractual car-sharing company
Transportation Research Interdisciplinary PerspectivesCustomer churn is a commonly found problem in most businesses. Yet, it is not well studied in sharing economy businesses, due largely to difficulty in observing customer attrition across different customer segments.
Pawaris Wachwanakijkul +4 more
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Churn prediction for SaaS company with machine learning [PDF]
Innovation & Management ReviewPurpose – In an era marked by fierce business competition, customer retention is crucial for sustaining profitability. Churn prediction, the ability to forecast customer defections, is essential to enhance retention and can profoundly impact a company’s ...
Hugo Eduardo Sanches +2 more
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A Data Mining Process Framework for Churn Management in Mobile Telecommunication Industry [PDF]
, 2009 Churning which is a sudden defection of a subscriber to competitors is a disturbing problem in the global telecommunication industry. However, the effectiveness of existing churn control strategies can be improved if an integrated approach that ...
Daramola, Olawande +2 more
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Customer Churn - Prevention Model – Prediction Model
, 2021 The strategy of any organization is based on the growth of its customer base, and one of 5 its principles is that selling a product to an existing customer is much more profitable than acquiring 6 a new customer. However, this approach has several opportunities for improvement, since it usu- 7 ally has a totally reactive approach, which does not give ...
openaire +2 more sources
Does Service Bundling Reduce Churn? [PDF]
We examine whether bundling in telecommunications services reduces churn using a series of large, independent cross sections of household decisions. To identify the effect of bundling, we construct a pseudo-panel dataset and utilize a linear, dynamic ...
Jeffrey T. Prince, Shane Greenstein
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Enhancing customer retention in case of service elimination? An empirical investigation in telecommunications [PDF]
, 2019 Generally, service industries require a rapid innovation of service portfolios to gain and maintain a competitive advantage. In this context, service elimination is a tool of portfolio renewal, where customer retention is a strategic priority for ...
Kolos, Krisztina +2 more
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