Study analyzes player churn and purchasing behavior in games.
problem Retaining players and predicting churn in video games.
method Deep behavioral analysis and ensemble learning models.
result Discarding certain churners improves prediction models.
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5 results for “churners”
The paper analyzes C.5 algorithm for customer segmentation in telecom industry.
problem Optimizing churners and minimizing marketing costs in competitive telecom industry.
method Use of C.5 algorithm within naive Bayesian modelling for customer segmentation.
result Experimental implementation of C.5 algorithm for customer profiling.
Paper introduces a dynamic reference frame strategy to predict events with a buffer time.
problem Lack of time buffer for predictions to enable timely action.
method Introduces a new concept of dynamic reference frame creation.
result Enables organizations to act on predictions with a buffer time.
Mobile game developers use a scalable churn prediction model to predict player abandonment.
problem Predicting player abandonment in mobile games.
method Survival ensembles approach for accurate churn prediction.
result Accurate predictions on player abandonment and playtime.
ProfitTree uses evolutionary algorithms to build churn prediction models that maximize profit.
problem Predicting customer churn with profit maximization in mind.
method Integrates EMPC metric into profit-driven decision trees using evolutionary algorithms.
result Significant profit improvements over classic accuracy-driven models.