Abstract: Predicting when players will leave a game creates a unique opportunity to increase players' lifetime and revenue contribution.
In this paper we design, implement and evaluate a churn prediction model for high- value players based on players' gaming activity data in two very large social ...
This paper focuses on predicting churn for highvalue players of casual social games and attempts to assess the business impact that can be derived from a ...
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Test results indicate that contacting players shortly before the predicted churn event substantially improves the effectiveness of communication with ...
This paper focuses on predicting churn for high value players of casual social games and attempts to assess the business impact that can be derived from a ...
Dec 16, 2022 · Effective churn prediction can help hold users in the game by initiating additional actions for their engagement. We focused on high-value user ...
It shows that less than 2% of high-value series of revenues generated by players; third, player profile players stay away from the game for more than 14 days.
Oct 16, 2014 · The authors attempted to reduce churn by selectively offering certain players free in-game currency as a means to entice them to continue ...
Dec 16, 2022 · Many game development companies use game data analysis for mining insights about users' behaviour and possible product growth.
Runge et al. focus on predicting churn for high-value players of casual social games since they find that the top 7% of paying players contribute around 50%.