Forecasting Mobile Games' Retention using Weka
Roxana Ioana Stircu ()
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Roxana Ioana Stircu: University of Economic Studies, Bucharest, Romania
Database Systems Journal, 2016, vol. 7, issue 1, 22-27
In the actual market, when thousands of mobile, PC or console games are released every year, developing and publishing a successful and profitable game is a very challenging process. The gaming industry is very competitive, and all the distribution channels are full of projects competing for players. More and more companies are investing a lot of time and resources in developing an effective way to save and store all the data used and generated by their game's users. In order to develop effective and successful projects, companies adopted a lot of tools and techniques from other domains, like Statistics, Business Intelligence, or Project Management. The method most currently used is Analytics, defined as the process of discovering and communicating patterns in data, to better understand players' behavior, analyze their in-game interaction, and predicting their next in-game actions. This represents a huge step forward for the gaming industry, towards successful projects and user-tailored gaming experience. In this article the problem of users' retention is discussed, and a regression model is proposed in order to forecast players' retention, and prevent players from leaving the game.
Keywords: game analytics; metrics; user behavior; Weka; linear regression; forecast; players' retention (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:aes:dbjour:v:7:y:2016:i:1:p:22-27
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