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Measuring Player Retention and Monetization Using the Mean Cumulative Function
11 references·0 citing·37 second hop
Measuring Player Retention and Monetization Using the Mean Cumulative Function (2020)Measuring Player Retention and Monetizati…Game Data Mining Competition on Churn Prediction and Survival Analysis Using Commercial Game Log Data (2018)Game Data Mining Competition …Playtime Measurement With Survival Analysis (2017)Playtime Measurement With Sur…Modelling user retention in mobile games (2016)Modelling user retention in m…Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles (2016)Churn Prediction in Mobile So…Predicting Purchase Decisions in Mobile Free-to-Play Games (2015)Predicting Purchase Decisions…Hidden Markov models for churn prediction (2015)Hidden Markov models for chur…Retention and progression: Seven months in World of Warcraft. (2014)Retention and progression: Se…Predicting player churn in the wild (2014)Predicting player churn in th…Churn prediction for high-value players in casual social games (2014)Churn prediction for high-val…Probability Models for Customer-Base Analysis (2009)Probability Models for Custom…An analysis of WoW players' game hours (2008)An analysis of WoW players' g…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)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)The Loyalty Effect (2001)The Impact of Customer Relationship Characteristics on Profitable Lifetime Duration (2003)Customer Lifetime Value: Empirical Generalizations and Some Conceptual Questions (2009)Does Chatter Matter? The Impact of User-Generated Content on Music Sales (2009)In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions (2017)Churn prediction in subscription services: An application of support vector machines while comparing two parameter-selection techniques (2006)CRM at a pay-TV company: Using analytical models to reduce customer attrition by targeted marketing for subscription services (2006)Social ties and their relevance to churn in mobile telecom networks (2008)Comparison of supervised machine learning techniques for customer churn prediction based on analysis of customer behavior (2017)Counting Your Customers: Who-Are They and What Will They Do Next? (1987)RFM and CLV: Using Iso-Value Curves for Customer Base Analysis (2005)Predicting player churn in destiny: A Hidden Markov models approach to predicting player departure in a major online game (2016)Rapid Prediction of Player Retention in Free-to-Play Mobile Games (2016)Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models (2018)Zero defections: quality comes to services. (1990)Intelligence Generation and Superior Customer Value (2000)pRNN: A Recurrent Neural Network based Approach for Customer Churn Prediction in Telecommunication Sector (2018)Combining Sequential and Aggregated Data for Churn Prediction in Casual Freemium Games (2019)A comprehensive survey on customer churn analysis studies (2025)Not if but When will Borrowers Default (1999)Survival Analysis Methods for Personal Loan Data (2002)Building comprehensible customer churn prediction models with advanced rule induction techniques (2010)Games and big data: A scalable multi-dimensional churn prediction model (2017)An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes (2023)Predicting player disengagement and first purchase with event-frequency based data representation (2015)Evaluating Colorblind-Friendly Design for Equitable Play in Mobile Puzzle Games (2025)Comprehensive review and classification of game analytics (2020)Micro- and macro-level churn analysis of large-scale mobile games (2019)Sentiment Analysis Based Churn Prediction in Mobile Games using Word Embedding Models and Deep Learning Algorithms (2020)Churn in the mobile gaming field: Establishing churn definitions and measuring classification similarities (2021)Prediction of Player Churn and Disengagement Based on User Activity Data of a Freemium Online Strategy Game (2020)perCLTV: A General System for Personalized Customer Lifetime Value Prediction in Online Games (2022)
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References

  • 2009Probability Models for Customer-Base Analysis204 cited
  • 2014Predicting player churn in the wild160 cited
  • 2014Churn prediction for high-value players in casual social games147 cited
  • 2016Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles107 cited
  • 2015Predicting Purchase Decisions in Mobile Free-to-Play Games84 cited
  • 2008An analysis of WoW players' game hours61 cited
  • 2018Game Data Mining Competition on Churn Prediction and Survival Analysis Using Commercial Game Log Data50 cited
  • 2017Playtime Measurement With Survival Analysis43 cited
  • 2015Hidden Markov models for churn prediction28 cited
  • 2016Modelling user retention in mobile games28 cited
  • 2014Retention and progression: Seven months in World of Warcraft.15 cited

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