Find crucial factors of in-game purchase using neural networks

Abstract

According to the several forecasts, mobile games industry will account for ever increasing contributions, with a market share approaching 35% by 2020. Consequently, the game applications (App) providers need to know how to design products that match consumer's requirements, continuously use, and in-app purchase are important issue. In particular, in-App purchase is the major revenue models. Hence, this study attempts to define the potential factors of influencing in-App purchases for game users. Then, we use two feature selection methods, Neural Network Pruning and Chi-square test to identify important factors that affect users' in-game purchases behaviors. The results can be used as a reference when designing game Apps for game developers and researchers.