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DiGRA
Kati Alha's review maps research on free-to-play games, which the author describes as skewed toward behavioral-economic optimization.
Kati Alha's literature review, presented at DiGRA 2019, maps the research landscape of free-to-play games and argues that the field is heavily skewed toward behavioral-economic optimization. A systematic Scopus search identified 92 included documents, with the majority rooted in Computer Science (43.8%), a predominance of quantitative methods (44 of 64 method-classified studies), and a strong Western bias centered on North America and Europe. Research volume rose sharply around 2014 to 2015, coinciding with the model's commercial success on mobile platforms, and the literature covers roughly 2005 through 2017.
The reviewed studies concentrate on player churn prediction and in-app purchase behavior. Among the most cited findings, about 1% of users generate roughly 85% of revenue, a pattern documented by Voigt and Hinz (2016), while advertising shows weak effects on retention (Burns et al., 2016). Research on social casino games reports substantial migration to online gambling, with one longitudinal study finding that 26% of players moved to gambling within six months. Studies on player well-being similarly identify concerning associations: 5.2% of teenage free-to-play players met criteria for Internet Gaming Disorder and spent more money on games (Dreier et al., 2016), and in-app spending correlates with lower self-control. Findings on social features and purchase motivation, however, remain mixed or context-dependent.
The review's central conclusion is that experiential, qualitative, cultural, and critical perspectives remain marginal relative to quantitative, profit-focused work. To address this imbalance, the author proposes four research agendas: industry practice studies, qualitative investigations of player experience, close readings of game design characteristics, and inquiry into the cultural and political meaning of the model.
Newzoo · 2026