Causality analysis for best seller of software game by regression and structural equation modeling

This paper describes a causality analysis of best-selling software games. Software game makers typically distribute advance information on their products for advertising purposes, in the hope of earning favorable user reviews. Games highly rated by users typically become best sellers, but what information significantly affects their sales has not yet been analyzed quantitatively. We used data on software games to analyze sales factors with a multiple regression model and structured equation modeling (SEM). Experiment results using data obtained from webpages on 746 software games show that hardware types, specific makers, and game genres have a major motivational impact on customers' purchases.