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Clustering Prediction Techniques in Defining and Predicting Customers Defection: The Case of E-Commerce Context
16 references·3 citing·35 second hop
Clustering Prediction Techniques in Defining and Predicting Customers Defection: The Case of E-Commerce Context (2018)Clustering Prediction Techniques in Defin…Toward An Understanding Of Loyalty: The Moderating Role Of Trust* (2016)Toward An Understanding Of Lo…Customer churn prediction in telecommunications (2011)Customer churn prediction in …Knowledge discovery on RFM model using Bernoulli sequence (2008)Knowledge discovery on RFM mo…Customer churn prediction using improved balanced random forests (2008)Customer churn prediction usi…Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry (2006)Customer churn analysis: Chur…CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services (2006)CRM at a pay-TV company: Usin…Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Churn prediction in subscript…Computer assisted customer churn management: State-of-the-art and future trends (2005)Computer assisted customer ch…Applying data mining to telecom churn management (2005)Applying data mining to telec…Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Customer base analysis: parti…Turning telecommunications call details to churn prediction: a data mining approach (2002)Turning telecommunications ca…The mismanagement of customer loyalty. (2002)The mismanagement of customer…Customer Switching Behavior in Online Services: An Exploratory Study of the Role of Selected Attitudinal, Behavioral, and Demographic Factors (2001)Customer Switching Behavior i…Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)Predicting subscriber dissati…Strategic database marketing (1994)Strategic database marketingA Logit Model of Brand Choice Calibrated on Scanner Data (1983)A Logit Model of Brand Choice…Customer data prediction and analysis in e-commerce using machine learning (2024)Customer data prediction and …User Churn Model in E-Commerce Retail (2022)User Churn Model in E-Commerc…Customer Churn Prediction Using AdaBoost Classifier and BP Neural Network Techniques in the E-Commerce Industry (2022)Customer Churn Prediction Usi…Customer Evaluations of Service Complaint Experiences: Implications for Relationship Marketing (1998)Switching barriers and repurchase intentions in services (2000)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)A machine learning framework for customer purchase prediction in the non-contractual setting (2018)Customer churn prediction system: a machine learning approach (2021)Building Data Mining Applications for CRM (1999)Knowledge management and data mining for marketing (2001)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)A comparison of machine learning techniques for customer churn prediction (2015)Customer churn prediction in telecom using machine learning in big data platform (2019)Conditional logit analysis of qualitative choice behavior (1972)Customer satisfaction, customer retention, and market share (1993)Customer Switching Behavior in Service Industries: An Exploratory Study (1995)Developing and validating a multidimensional consumer-based brand equity scale (2001)Zero defections: quality comes to services. (1990)The Commitment-Trust Theory of Relationship Marketing (1994)The Behavioral Consequences of Service Quality (1996)Estimating Nonresponse Bias in Mail Surveys (1977)Measuring Service Quality: A Reexamination and Extension (1992)A Longitudinal Analysis of Customer Satisfaction and Share of Wallet: Investigating the Moderating Effect of Customer Characteristics (2006)Perceived value, transaction cost, and repurchase-intention in online shopping: A relational exchange perspective (2012)The role of digital influencers in brand recommendation: Examining their impact on engagement, expected value and purchase intention (2019)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)A survey of results on mobile phone datasets analysis (2015)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Privacy Concerns and Consumer Willingness to Provide Personal Information (2000)Integrating AHP and data mining for product recommendation based on customer lifetime value (2004)Understanding the Effect of Customer Relationship Management Efforts on Customer Retention and Customer Share Development (2003)Comfort your online customer: quality, trust and loyalty on the internet (2004)Customer engagement: the construct, antecedents, and consequences (2016)A novel evolutionary data mining algorithm with applications to churn prediction (2003)Social ties and their relevance to churn in mobile telecom networks (2008)
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References

  • 1983A Logit Model of Brand Choice Calibrated on Scanner Data1,806 cited
  • 2002The mismanagement of customer loyalty.769 cited
  • 2001Customer Switching Behavior in Online Services: An Exploratory Study of the Role of Selected Attitudinal, Behavioral, and Demographic Factors527 cited
  • 2005Applying data mining to telecom churn management514 cited
  • 2002Turning telecommunications call details to churn prediction: a data mining approach460 cited
  • 2006Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques432 cited
  • 2004Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting425 cited
  • 2008Customer churn prediction using improved balanced random forests412 cited
  • 1994Strategic database marketing364 cited
  • 2000Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry347 cited
  • 2011Customer churn prediction in telecommunications344 cited
  • 2005Computer assisted customer churn management: State-of-the-art and future trends340 cited
  • 2008Knowledge discovery on RFM model using Bernoulli sequence331 cited
  • 2006Customer churn analysis: Churn determinants and mediation effects of partial defection in the Korean mobile telecommunications service industry

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325 cited
  • 2016Toward An Understanding Of Loyalty: The Moderating Role Of Trust*301 cited
  • 2006CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services241 cited
  • Cited by

    • 2024Customer data prediction and analysis in e-commerce using machine learning17 cited
    • 2022Customer Churn Prediction Using AdaBoost Classifier and BP Neural Network Techniques in the E-Commerce Industry15 cited
    • 2022User Churn Model in E-Commerce Retail7 cited