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Early churn prediction with personalized targeting in mobile social games
16 references·16 citing·51 second hopsampled
Early churn prediction with personalized targeting in mobile social games (2017)Early churn prediction with personalized …The Perils of Proactive Churn Prevention Using Plan Recommendations: Evidence from a Field Experiment (2015)The Perils of Proactive Churn…Predicting player churn in the wild (2014)Predicting player churn in th…Improved churn prediction in telecommunication industry using data mining techniques (2014)Improved churn prediction in …Dynamic churn prediction framework with more effective use of rare event data: The case of private banking (2014)Dynamic churn prediction fram…Churn prediction using comprehensible support vector machine: An analytical CRM application (2014)Churn prediction using compre…Churn prediction for high-value players in casual social games (2014)Churn prediction for high-val…Social network analysis for customer churn prediction (2013)Social network analysis for c…Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning (2013)Customer churn prediction in …Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies (2012)Churn prediction in telecom u…Customer churn prediction in telecommunications (2011)Customer churn prediction in …Credit card churn forecasting by logistic regression and decision tree (2011)Credit card churn forecasting…Employee churn prediction (2010)Employee churn predictionModeling churn using customer lifetime value (2008)Modeling churn using customer…Customer churn prediction using improved balanced random forests (2008)Customer churn prediction usi…Toward a hybrid data mining model for customer retention (2006)Toward a hybrid data mining m…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…Predicting Player Churn of a Free-to-Play Mobile Video Game Using Supervised Machine Learning (2022)Predicting Player Churn of a …Customer churn prediction for web browsers (2022)Customer churn prediction for…Churn prediction in digital game-based learning using data mining techniques: Logistic regression, decision tree, and random forest (2022)Churn prediction in digital g…Boost customer churn prediction in the insurance industry using meta-heuristic models (2022)Boost customer churn predicti…Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management (2021)Swarm intelligence goal-orien…RFM-LIR Feature Framework for Churn Prediction in the Mobile Games Market (2021)RFM-LIR Feature Framework for…Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning (2021)Predictive analytics for cust…Application of Artificial Intelligence Technology Optimized by Deep Learning to Rural Financial Development and Rural Governance (2021)Application of Artificial Int…Designing a Real-Time Data-Driven Customer Churn Risk Indicator for Subscription Commerce (2020)Designing a Real-Time Data-Dr…A literature review of the current applications of machine learning and their practical implications (2020)A literature review of the cu…Churn prediction and social neighbour influences for different types of user groups in virtual worlds (2019)Churn prediction and social n…Profit Optimizing Churn Prediction for Long-Term Loyal Customers in Online Games (2018)Profit Optimizing Churn Predi…Player retention in league of legends (2018)Player retention in league of…Large-scale Ensemble Model for Customer Churn Prediction in Search Ads (2018)Large-scale Ensemble Model fo…Current Applications of Machine Learning Techniques in CRM: A Literature Review and Practical Implications (2018)Current Applications of Machi…Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector (2018)Computing efficient features …Experiments in induction (1966)Experiments in Induction (1967)Applying data mining to telecom churn management (2005)A Data Mining-Based Framework for Supply Chain Risk Management (2018)Machine-Learning Techniques for Customer Retention: A Comparative Study (2018)Predicting Employee Attrition Using Machine Learning Techniques (2020)Inequality and Heterogeneity: A Primitive Theory of Social Structure (1977)Birds of a Feather: Homophily in Social Networks (2001)Defection Detection: Measuring and Understanding the Predictive Accuracy of Customer Churn Models (2006)An empirical comparison of techniques for the class imbalance problem in churn prediction (2017)Social network analytics for churn prediction in telco: Model building, evaluation and network architecture (2017)A big data analytics model for customer churn prediction in the retiree segment (2018)Marketing Research: Methodological Foundations (1977)Self-generated validity and other effects of 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(1988)The Customer Relationship Management Process: Its Measurement and Impact on Performance (2004)A Novel Profit Maximizing Metric for Measuring Classification Performance of Customer Churn Prediction Models (2012)A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)Customer churn prediction in the telecommunication sector using a rough set approach (2016)Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry (2000)An LTV model and customer segmentation based on customer value: a case study on the wireless telecommunication industry (2003)Churn Prediction in MMORPGs: A Social Influence Based Approach (2009)Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles (2016)A Survey on Churn Analysis in Various Business Domains (2020)On the Profitability of Long-Life Customers in a Noncontractual Setting: An Empirical Investigation and Implications for Marketing (2000)A Customer Lifetime Value Framework for Customer Selection and Resource Allocation Strategy (2004)Modeling Customer Lifetime Value (2006)Domain driven data mining in human resource management: A review of current research (2012)Predicting Employee Attrition using Machine Learning (2018)Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (2004)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)A machine learning framework for customer purchase prediction in the non-contractual setting (2018)Customer churn prediction system: a machine learning approach (2021)A Dynamic Model of the Duration of the Customer's Relationship with a Continuous Service Provider: The Role of Satisfaction (1998)Marketing Management: The Millennium Edition (1999)Financial time series forecasting using support vector machines (2003)Developing a prediction model for customer churn from electronic banking services using data mining (2016)B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)Operational Research and Artificial Intelligence Methods in Banking (2022)Turning telecommunications call details to churn prediction: a data mining approach (2002)In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions (2017)Retention Futility: Targeting High-Risk Customers Might be Ineffective (2017)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Introduction to Time Series and Forecasting (2002)Return on Marketing: Using Customer Equity to Focus Marketing Strategy (2003)A hierarchical multiple kernel support vector machine for customer churn prediction using longitudinal behavioral data (2012)Managing Churn to Maximize Profits (2020)Zero defections: quality comes to services. (1990)Valuing Customers (2004)The Effects of Customer Satisfaction, Relationship Commitment Dimensions, and Triggers on Customer Retention (2005)A novel heterogeneous ensemble credit scoring model based on bstacking approach (2017)Incorporating textual information in customer churn prediction models based on a convolutional neural network (2019)
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References

  • 2008Customer churn prediction using improved balanced random forests412 cited
  • 2011Customer churn prediction in telecommunications344 cited
  • 2006CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services241 cited
  • 2011Credit card churn forecasting by logistic regression and decision tree225 cited
  • 2010Employee churn prediction188 cited
  • 2008Modeling churn using customer lifetime value187 cited
  • 2014Improved churn prediction in telecommunication industry using data mining techniques176 cited
  • 2014Churn prediction using comprehensible support vector machine: An analytical CRM application175 cited
  • 2013Social network analysis for customer churn prediction164 cited
  • 2014Predicting player churn in the wild160 cited
  • 2013Customer churn prediction in the online gambling industry: The beneficial effect of ensemble learning158 cited
  • 2014Churn prediction for high-value players in casual social games147 cited
  • 2012Churn prediction in telecom using Random Forest and PSO based data balancing in combination with various feature selection strategies138 cited
  • 2006Toward a hybrid data mining model for customer retention120 cited
  • 2015

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The Perils of Proactive Churn Prevention Using Plan Recommendations: Evidence from a Field Experiment
119 cited
  • 2014Dynamic churn prediction framework with more effective use of rare event data: The case of private banking98 cited
  • Cited by

    • 2022Churn prediction in digital game-based learning using data mining techniques: Logistic regression, decision tree, and random forest62 cited
    • 2021Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning55 cited
    • 2018Large-scale Ensemble Model for Customer Churn Prediction in Search Ads52 cited
    • 2018Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector46 cited
    • 2018Profit Optimizing Churn Prediction for Long-Term Loyal Customers in Online Games44 cited
    • 2021Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management40 cited
    • 2018Player retention in league of legends37 cited
    • 2018Current Applications of Machine Learning Techniques in CRM: A Literature Review and Practical Implications37 cited
    • 2021Application of Artificial Intelligence Technology Optimized by Deep Learning to Rural Financial Development and Rural Governance33 cited
    • 2022Customer churn prediction for web browsers32 cited
    • 2021RFM-LIR Feature Framework for Churn Prediction in the Mobile Games Market27 cited
    • 2022Predicting Player Churn of a Free-to-Play Mobile Video Game Using Supervised Machine Learning24 cited
    • 2022Boost customer churn prediction in the insurance industry using meta-heuristic models22 cited
    • 2020Designing a Real-Time Data-Driven Customer Churn Risk Indicator for Subscription Commerce18 cited
    • 2020A literature review of the current applications of machine learning and their practical implications18 cited
    • 2019Churn prediction and social neighbour influences for different types of user groups in virtual worlds17 cited