Video Oyunlarında Ticari Başarının Pazarlama Temelli Belirleyicileri

Abstract

Video oyunları küresel ölçekte hızla büyüyen bir eğlence pazarıdır. Ancak bu pazarda ticari başarıyı belirleyen faktörlere ilişkin ampirik çalışmalar görece sınırlıdır. Bu çalışma, video oyunlarının satış performansını etkileyen pazarlama temelli belirleyicileri incelemeyi amaçlamaktadır. Araştırmada Maven Analytics Data Playground platformunda sunulan ve on binlerce oyunu kapsayan büyük ölçekli ikincil veri seti kullanılmıştır. Eleştirmen puanları, oyun türü, platform ve yayıncı gücü temel bağımsız değişkenler olarak ele alınmıştır. Analizlerde korelasyon, tek yönlü varyans analizi ve çoklu regresyon yöntemleri kullanılmıştır. Bulgular, eleştirmen puanlarının satış performansı ile pozitif ve anlamlı biçimde ilişkili olduğunu göstermektedir. Oyun türleri ve platformlar arasında satış performansı açısından anlamlı farklılıklar tespit edilmiştir. En güçlü etkinin yayıncı gücüne ait olduğu görülmüştür. Çoklu regresyon sonuçları, kalite sinyalleri ve yayıncı itibarının satış performansını anlamlı düzeyde açıkladığını ortaya koymaktadır. Çalışma, dijital kültürel ürünler literatürüne büyük ölçekli ampirik kanıt sunmakta ve video oyunları pazarındaki başarı dinamiklerine pazarlama perspektifinden katkı sağlamaktadır. Bulgular, sektör profesyonelleri için konumlandırma stratejileri, platform seçimi ve marka yönetimi açısından yönetsel çıkarımlar sunmaktadır.

Keywords

• Video Oyunları Pazarlaması
• Kalite Sinyalleri
• Eleştirmen Puanları
• Yayıncı Gücü
• Dijital Ürünler

Ethical Statement

“Video Oyunlarında Ticari Başarının Pazarlama Temelli Belirleyicileri” başlıklı çalışmanın yazım sürecinde bilimsel kurallara, etik ve alıntı kurallarına uyulmuş; kullanılan veriler üzerinde herhangi bir tahrifat yapılmamış ve bu çalışma herhangi başka bir akademik yayın ortamına değerlendirme için gönderilmemiştir. Bu araştırmada etik kurul kararı zorunluluğu bulunmamaktadır. Çatışma Beyanı: Çalışmada herhangi bir potansiyel çıkar çatışması söz konusu değildir. Finansman: Bu çalışma için herhangi bir kurum veya kuruluştan destek alınmamıştır. Yapay Zeka ve Türleri Kullanım Beyanı: Bu makalenin yazımında yapay zeka ve türleri kullanılmamıştır. Veri Paylaşım Beyanı: Bu çalışmanın verilerini bulguların doğrulanması amacıyla makul bir talep üzerine “etik ilkeler ve yayın politikası”nın ilgili kısmında belirtilen şartlara göre paylaşabileceğimi beyan ederim.

Marketing-Based Determinants of Commercial Success in Video Games

Abstract

Video games constitute a rapidly expanding global entertainment market. However, empirical studies examining the determinants of commercial success in this market remain relatively limited. This study aims to investigate the marketing-based factors influencing the sales performance of video games. A large-scale secondary dataset comprising tens of thousands of games, provided through the Maven Analytics Data Playground platform, was utilized in the analysis. Critic scores, game genre, platform, and publisher power were considered as the main independent variables. Correlation analysis, one-way ANOVA, and multiple regression methods were employed. The findings indicate that critic scores are positively and significantly associated with sales performance. Significant differences in sales performance were observed across game genres and platforms. Publisher power emerged as the strongest determinant. The results of the multiple regression analysis demonstrate that quality signals and publisher reputation significantly explain sales performance. The study provides large-scale empirical evidence to the literature on digital cultural products and contributes to understanding the dynamics of commercial success in the video game market from a marketing perspective. The findings offer managerial implications for industry professionals in terms of positioning strategies, platform selection, and brand management.

Keywords

• Video Game Marketing
• Quality Signals
• Critic Scores
• Publisher Power
• Digital Products

Ethical Statement

During the writing process of the study “Marketing-Based Determinants of Commercial Success in Video Games”, scientific rules, ethical principles, and citation rules were followed. No falsification was made on the data used, and this study was not submitted to any other academic publication venue for evaluation. Ethics committee approval is not required for this study. Declaration of Conflict: There is no potential conflict of interest in the study. Funding: No funding was received from any institution or organization for this study. Statement of Use for Artificial Intelligence and Its Types: Artificial intelligence and its various types were not used in the writing of this article. Data Sharing Statement: I declare that, upon reasonable request for the purpose of verifying the findings, I can share the data of this study according to the conditions specified in the relevant section of the "ethical principles and publication policy".

References

1. Akerlof, G. A. (1970). The market for lemons: Quality uncertainty and the market mechanism. Quarterly Journal of Economics, 84(3), 488–500. https://doi.org/10.2307/1879431
2. Badrinarayanan, V. A., Sierra, J. J., & Martin, K. M. (2015). A dual identification framework of online multiplayer video games: The case of massively multiplayer online role playing games (MMORPGs). Journal of Business Research, 68(5), 1045-1052. https://doi.org/10.1016/j.jbusres.2014.10.006
3. Babić Rosario, A., Sotgiu, F., De Valck, K., & Bijmolt, T. H. A. (2016). The effect of electronic word of mouth on sales: A meta-analytic review of platform, product, and metric factors. Journal of Marketing Research, 53(3), 297-318. https://doi.org/10.1509/jmr.14.0380
4. Bairrada, C. M., Coelho, F., & Coelho, A. (2018). Antecedents and outcomes of brand love: Utilitarian and symbolic brand qualities. European Journal of Marketing, 52(3/4), 656-682. https://doi.org/10.1108/EJM-02- 2016-0081
5. Bilro, R. G., Loureiro, S. M. C., & Guerreiro, J. (2019). Exploring online customer engagement with hospitality products and its relationship with involvement, emotional states, experience and brand advocacy. Journal of Hospitality Marketing & Management, 28(2), 147-171. https://doi.org/10.1080/19368623.2018.1506375
6. Chaudhuri, A., & Holbrook, M. B. (2001). The chain of effects from brand trust and brand affect to brand performance: The role of brand loyalty. Journal of Marketing, 65(2), 81-93. https://doi.org/10.1509/jmkg.65.2.81.18255
7. Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345–354. https://doi.org/10.1509/jmkr.43.3.345
8. Cox, J. (2014). What makes a blockbuster video game? An empirical analysis of US sales data. Managerial and Decision Economics, 35(3), 189-198. https://doi.org/10.1002/mde.2608

9. Erdem, T., & Swait, J. (2004). Brand credibility, brand consideration, and choice. Journal of Consumer Research, 31(1), 191-198. https://doi.org/10.1086/383434
10. Filieri, R., Hofacker, C. F., & Alguezaui, S. (2018). What makes information in online consumer reviews diagnostic over time? The role of review relevancy, factuality, currency, source credibility and ranking score. Computers in Human Behavior, 80, 122-131. https://doi.org/10.1016/j.chb.2017.10.039
11. Goh, E., Al-Tabbaa, O., & Khan, Z. (2023). Unravelling the complexity of the video game industry: An integrative framework and future research directions. Telematics and Informatics Reports, 12, 100100. https://doi.org/10.1016/j.teler.2023.100100
12. Hennig-Thurau, T., Houston, M. B., & Walsh, G. (2007). Determinants of motion picture box office and profitability: An interrelationship approach. Review of Managerial Science, 1(1), 65-92. https://doi.org/10.1007/s11846-007-0003-9
13. Heidenreich, S., Handrich, F., & Kraemer, T. (2023). Flawless victory! Investigating search and experience qualities as antecedent predictors of video game success. Electronic Markets, 33(1), Article 20. https://doi.org/10.1007/s12525-023-00647-2
14. Hirsch, P. M. (1972). Processing fads and fashions: An organization-set analysis of cultural industry systems. American Journal of Sociology, 77(4), 639–659. https://doi.org/10.1086/225192
15. Hirschman, E. C., & Holbrook, M. B. (1982). Hedonic consumption: Emerging concepts, methods and propositions. Journal of Marketing, 46(3), 92–101. https://doi.org/10.1177/002224298204600314
16. Ismagilova, E., Slade, E. L., Rana, N. P., & Dwivedi, Y. K. (2020). The effect of characteristics of source credibility on consumer behaviour: A meta-analysis. Journal of Retailing and Consumer Services, 53, 101736. https://doi.org/10.1016/j.jretconser.2019.01.005
17. Katz, M. L., & Shapiro, C. (1985). Network externalities, competition, and compatibility. American Economic Review, 75(3), 424–440.
18. Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44(2), 544-564. https://doi.org/10.1016/j.dss.2007.07.001
19. Kraemer, T., Weiger, W. H., & Heidenreich, S. (2025). Do all stars shine the same? Investigating the nonlinear effects of user and critic reviews on video game sales. Journal of Business Research, 188, 115034. https://doi.org/10.1016/j.jbusres.2024.115034
20. Kuss, D. J., & Griffiths, M. D. (2012). Internet gaming addiction: A systematic review of empirical research. International Journal of Mental Health and Addiction, 10(2), 278-296. https://doi.org/10.1007/s11469-011-9318-5
21. Lemon, K. N., & Verhoef, P. C. (2016). Understanding customer experience throughout the customer journey. Journal of Marketing, 80(6), 69–96. https://doi.org/10.1509/jm.15.0420
22. Marchand, A., & Hennig-Thurau, T. (2013). Value creation in the video game industry: Industry economics, consumer benefits, and research opportunities. Journal of Interactive Marketing, 27(3), 141-157. https://doi.org/10.1016/j.intmar.2013.05.001
23. Mariani, M. M., & Borghi, M. (2020). Online review helpfulness and firms’ financial performance: An empirical study in a service industry. International Journal of Electronic Commerce, 24(4), 421-449. https://doi.org/10.1080/10864415.2020.1806464
24. Maven Analytics. (2024). Video game sales dataset. Maven Analytics Data Playground. https://mavenanalytics.io/data-playground/video-game-sales
25. Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3), 20–38. https://doi.org/10.1177/002224299405800302
26. Nelson, P. (1970). Information and consumer behavior. Journal of Political Economy, 78(2), 311–329. https://doi.org/10.1086/259630
27. Park, D.-H., Lee, J., & Han, I. (2007). The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. International Journal of Electronic Commerce, 11(4), 125-148. https://doi.org/10.2753/JEC1086-4415110405
28. Parker, G. G., Van Alstyne, M. W., & Choudary, S. P. (2016). Platform revolution: How networked markets are transforming the economy and how to make them work for you. W. W. Norton.
29. Przybylski, A. K., Rigby, C. S., & Ryan, R. M. (2010). A motivational model of video game engagement. Review of General Psychology, 14(2), 154-166. https://doi.org/10.1037/a0019440
30. Rochet, J.-C., & Tirole, J. (2003). Platform competition in two-sided markets. Journal of the European Economic Association, 1(4), 990-1029. https://doi.org/10.1162/154247603322493212
31. Spence, M. (1973). Job market signaling. Quarterly Journal of Economics, 87(3), 355–374. https://doi.org/10.2307/1882010
32. Zhu, F., & Zhang, X. (2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of Marketing, 74(2), 133-148. https://doi.org/10.1509/jm.74.2.133