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Modeling partial customer churn: On the value of first product-category purchase sequences
16 references·16 citing·45 second hopsampled
Modeling partial customer churn: On the value of first product-category purchase sequences (2012)Modeling partial customer churn: On the v…Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Building comprehensible custo…Handling class imbalance in customer churn prediction (2008)Handling class imbalance in c…Customer churn prediction using improved balanced random forests (2008)Customer churn prediction usi…Application of data mining techniques in customer relationship management: A literature review and classification (2008)Application of data mining te…Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Churn prediction in subscript…Applying data mining to telecom churn management (2005)Applying data mining to telec…The Theoretical Underpinnings of Customer Asset Management: A Framework and Propositions for Future Research (2004)The Theoretical Underpinnings…Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Customer base analysis: parti…The loyalty effect: The hidden force behind growth, profits, and lasting value (1996)The loyalty effect: The hidde…The Behavioral Consequences of Service Quality (1996)The Behavioral Consequences o…Optimal Selection for Direct Mail (1995)Optimal Selection for Direct …From Marketing Mix to Relationship Marketing: Towards a Paradigm Shift in Marketing (1994)From Marketing Mix to Relatio…From Marketing Mix to Relationship Marketing (1994)From Marketing Mix to Relatio…Downsizing to Improve Strategic Position (1994)Downsizing to Improve Strateg…Zero defections: quality comes to services. (1990)Zero defections: quality come…A MARKETING APPROACH FOR CUSTOMER RETENTION (1984)A MARKETING APPROACH FOR CUST…Explaining customer churn prediction in telecom industry using tabular machine learning models (2024)Explaining customer churn pre…Machine learning based customer churn prediction in home appliance rental business (2023)Machine learning based custom…Machine Learning to Develop Credit Card Customer Churn Prediction (2022)Machine Learning to Develop C…A PCA-AdaBoost model for E-commerce customer churn prediction (2022)A PCA-AdaBoost model for E-co…Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning (2021)Predictive analytics for cust…How training on multiple time slices improves performance in churn prediction (2021)How training on multiple time…Deep Learning for Customer Churn Prediction in E-Commerce Decision Support (2021)Deep Learning for Customer Ch…Research on a Customer Churn Combination Prediction Model Based on Decision Tree and Neural Network (2020)Research on a Customer Churn …User segmentation for retention management in online social games (2017)User segmentation for retenti…Data-driven agent-based exploration of customer behavior (2017)Data-driven agent-based explo…Customer Churn in Mobile Markets: A Comparison of Techniques (2016)Customer Churn in Mobile Mark…Customer Churn in Mobile Markets: A Comparison of Techniques (2015)Customer Churn in Mobile Mark…Predicting customer churn from valuable B2B customers in the logistics industry: a case study (2014)Predicting customer churn fro…Weak signal identification with semantic web mining (2013)Weak signal identification wi…Customer attrition in retailing: An application of Multivariate Adaptive Regression Splines (2013)Customer attrition in retaili…Predicting customer profitability during acquisition: Finding the optimal combination of data source and data mining technique (2012)Predicting customer profitabi…A Conceptual Model of Service Quality and Its Implications for Future Research (1985)SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality (1988)Measuring Service Quality: A Reexamination and Extension (1992)The Different Roles of Satisfaction, Trust, and Commitment in Customer Relationships (1999)Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments (2000)Understanding Customer Experience Throughout the Customer Journey (2016)Specification Tests in Econometrics (1978)Building Models for Marketing Decisions (2000)Marketing Models of Service and Relationships (2006)Analytics for Customer Engagement (2010)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Modeling Customer Lifetime Value (2006)Evaluating multiple classifiers for stock price direction prediction (2015)A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (2018)Customer churn prediction in telecom using machine learning in big data platform (2019)Conceptualizing, Measuring, and Managing Customer-Based Brand Equity (1993)The Commitment-Trust Theory of Relationship Marketing (1994)Customer Satisfaction and Stock Prices: High Returns, Low Risk (2005)Why Do Customer Relationship Management Applications Affect Customer Satisfaction? (2005)Customer Engagement as a New Perspective in Customer Management (2010)The Structure of Scientific Revolutions (1963)Markets and Hierarchies: Analysis and Antitrust Implications. (1976)The value concept and relationship marketing (1996)Tourism image, evaluation variables and after purchase behaviour: inter-relationship (2001)The New Public Governance? 1 (2006)American Economic Review (2019)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2004)Decision Support and Business Intelligence Systems (2006)Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation (2014)Big data and disaster management: a systematic review and agenda for future research (2017)A survey towards an integration of big data analytics to big insights for value-creation (2018)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Building Data Mining Applications for CRM (1999)New insights into churn prediction in the telecommunication sector: A profit driven data mining approach (2011)A survey of results on mobile phone datasets analysis (2015)An Inquiry into the Nature and Causes of the Wealth of Nations (1776)Managing Customer Relationships for Profit: The Dynamics of Relationship Quality (1994)Customer engagement, buyer‐seller relationships, and social media (2012)A National Customer Satisfaction Barometer: The Swedish Experience (1992)Whence Consumer Loyalty? (1999)The Asymmetric Impact of Negative and Positive Attribute-Level Performance on Overall Satisfaction and Repurchase Intentions (1998)A Multiple-Layer Model of Market-Oriented Organizational Culture: Measurement Issues and Performance Outcomes (2000)CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting (2021)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 1996The Behavioral Consequences of Service Quality11,994 cited
  • 1990Zero defections: quality comes to services.5,373 cited
  • 1994From Marketing Mix to Relationship Marketing: Towards a Paradigm Shift in Marketing2,349 cited
  • 1996The loyalty effect: The hidden force behind growth, profits, and lasting value1,430 cited
  • 1994From Marketing Mix to Relationship Marketing1,410 cited
  • 2008Application of data mining techniques in customer relationship management: A literature review and classification1,267 cited
  • 2004The Theoretical Underpinnings of Customer Asset Management: A Framework and Propositions for Future Research741 cited
  • 2008Handling class imbalance in customer churn prediction552 cited
  • 2005Applying data mining to telecom churn management514 cited
  • 1995Optimal Selection for Direct Mail447 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
  • 1984A MARKETING APPROACH FOR CUSTOMER RETENTION414 cited
  • 2008Customer churn prediction using improved balanced random forests412 cited

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1994
Downsizing to Improve Strategic Position
377 cited
  • 2010Building comprehensible customer churn prediction models with advanced rule induction techniques366 cited
  • Cited by

    • 2017User segmentation for retention management in online social games80 cited
    • 2022Machine Learning to Develop Credit Card Customer Churn Prediction79 cited
    • 2014Predicting customer churn from valuable B2B customers in the logistics industry: a case study75 cited
    • 2015Customer Churn in Mobile Markets: A Comparison of Techniques63 cited
    • 2016Customer Churn in Mobile Markets: A Comparison of Techniques63 cited
    • 2023Machine learning based customer churn prediction in home appliance rental business59 cited
    • 2012Predicting customer profitability during acquisition: Finding the optimal combination of data source and data mining technique59 cited
    • 2021Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning55 cited
    • 2022A PCA-AdaBoost model for E-commerce customer churn prediction54 cited
    • 2013Weak signal identification with semantic web mining52 cited
    • 2024Explaining customer churn prediction in telecom industry using tabular machine learning models51 cited
    • 2013Customer attrition in retailing: An application of Multivariate Adaptive Regression Splines51 cited
    • 2020Research on a Customer Churn Combination Prediction Model Based on Decision Tree and Neural Network51 cited
    • 2017Data-driven agent-based exploration of customer behavior47 cited
    • 2021How training on multiple time slices improves performance in churn prediction43 cited
    • 2021Deep Learning for Customer Churn Prediction in E-Commerce Decision Support42 cited