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User Churn Model in E-Commerce Retail
16 references·0 citing·50 second hop
User Churn Model in E-Commerce Retail (2022)User Churn Model in E-Commerce RetailRFM-LIR Feature Framework for Churn Prediction in the Mobile Games Market (2021)RFM-LIR Feature Framework for…An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach (2021)An Empirical Study on Custome…Prediction of Player Churn and Disengagement Based on User Activity Data of a Freemium Online Strategy Game (2020)Prediction of Player Churn an…User Modeling for Churn Prediction in E-Commerce (2019)User Modeling for Churn Predi…A Hybrid Prediction Model for E-Commerce Customer Churn Based on Logistic Regression and Extreme Gradient Boosting Algorithm (2019)A Hybrid Prediction Model for…Clustering Prediction Techniques in Defining and Predicting Customers Defection: The Case of E-Commerce Context (2018)Clustering Prediction Techniq…In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions (2017)In Pursuit of Enhanced Custom…Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry (2016)Customers churn prediction an…Managing B2B customer churn, retention and profitability (2014)Managing B2B customer churn, …A methodology based on profitability criteria for defining the partial defection of customers in non-contractual settings (2014)A methodology based on profit…Modeling churn using customer lifetime value (2008)Modeling churn using customer…A Hidden Markov Model of Customer Relationship Dynamics (2008)A Hidden Markov Model of Cust…“Counting Your Customers” the Easy Way: An Alternative to the Pareto/NBD Model (2005)“Counting Your Customers” the…Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Customer base analysis: parti…Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)Predicting subscriber dissati…Strategic database marketing (1994)Strategic database marketingService management and marketing: managing the moments of truth in service competition (1990)Return on Marketing: Using Customer Equity to Focus Marketing Strategy (2003)Customer Value, Satisfaction, Loyalty, and Switching Costs: An Illustration From a Business-to-Business Service Context (2004)A review and analysis of churn prediction methods for customer retention in telecom industries (2017)Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior (2017)Linking big data analytical intelligence to customer relationship management performance (2020)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Introduction to Time Series and Forecasting (2002)A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data (2012)Churn prediction using comprehensible support vector machine: An analytical CRM application (2014)Managing Churn to Maximize Profits (2020)Counting Your Customers: Who-Are They and What Will They Do Next? (1987)On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)New Product Diffusion with Influentials and Imitators (2007)Analytics for Customer Engagement (2010)Creating Enduring Customer Value (2016)Zero defections: quality comes to services. (1990)The Commitment-Trust Theory of Relationship Marketing (1994)The Behavioral Consequences of Service Quality (1996)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)Customer churn prediction using improved balanced random forests (2008)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Customer loyalty in e-commerce: an exploration of its antecedents and consequences (2002)The Effect of On-Line Consumer Reviews on Consumer Purchasing Intention: The Moderating Role of Involvement (2007)An empirical comparison of techniques for the class imbalance problem in churn prediction (2017)The digital marketing capabilities gap (2020)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)Customer delight: Foundations, findings, and managerial insight (1997)Linguistic Inquiry and Word Count (LIWC) (2012)Private traits and attributes are predictable from digital records of human behavior (2013)The effect of AI-based CRM on organization performance and competitive advantage: An empirical analysis in the B2B context (2021)AI and digitalization in relationship management: Impact of adopting AI-embedded CRM system (2022)Developing Buyer-Seller Relationships (1987)A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle (1989)The Value of Different Customer Satisfaction and Loyalty Metrics in Predicting Business Performance (2006)The Squeaky Wheel Gets the Grease—An Empirical Analysis of Customer Voice and Firm Intervention on Twitter (2015)Dynamic Relationship Marketing (2016)Customer Switching Behavior in Online Services: An Exploratory Study of the Role of Selected Attitudinal, Behavioral, and Demographic Factors (2001)Churn Prediction in MMORPGs: A Social Influence Based Approach (2009)Predicting player churn in the wild (2014)A Difficulty-Aware Framework for Churn Prediction and Intervention in Games (2021)Predicting Player Churn of a Free-to-Play Mobile Video Game Using Supervised Machine Learning (2022)Ensemble-based deep learning techniques for customer churn prediction model (2024)Privacy Concerns and Consumer Willingness to Provide Personal Information (2000)Integrating AHP and data mining for product recommendation based on customer lifetime value (2004)Knowledge discovery on RFM model using Bernoulli sequence (2008)A novel evolutionary data mining algorithm with applications to churn prediction (2003)Computer assisted customer churn management: State-of-the-art and future trends (2005)Social ties and their relevance to churn in mobile telecom networks (2008)
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References

  • 2005“Counting Your Customers” the Easy Way: An Alternative to the Pareto/NBD Model454 cited
  • 2004Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting425 cited
  • 2008A Hidden Markov Model of Customer Relationship Dynamics374 cited
  • 1994Strategic database marketing364 cited
  • 2000Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry347 cited
  • 2017In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions189 cited
  • 2008Modeling churn using customer lifetime value187 cited
  • 2016Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry161 cited
  • 2014Managing B2B customer churn, retention and profitability122 cited
  • 2020Prediction of Player Churn and Disengagement Based on User Activity Data of a Freemium Online Strategy Game43 cited
  • 2019User Modeling for Churn Prediction in E-Commerce42 cited
  • 2021RFM-LIR Feature Framework for Churn Prediction in the Mobile Games Market27 cited
  • 2021An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach22 cited
  • 2018Clustering Prediction Techniques in Defining and Predicting Customers Defection: The Case of E-Commerce Context

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20 cited
  • 2019A Hybrid Prediction Model for E-Commerce Customer Churn Based on Logistic Regression and Extreme Gradient Boosting Algorithm20 cited
  • 2014A methodology based on profitability criteria for defining the partial defection of customers in non-contractual settings20 cited
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