Abstract
The study tries to find out the most important features in building games based on the grossing. The study is limited to fifty iPhone games that have achieved top grossing in the USA. The game features were extracted from a previous study [1] and classified through ARM funnel into five groups (“A”, “R”, “M”, “AR”, and “RM”). The paper follows CRISP-DM approach under SPSS Modeler through business and data understanding, Data preparation, model building and evaluation. The researcher uses Decision Tree model since the features have closed value i.e. (Yes/No) on the grossing weight. The study reached to the most important 10 features out of 31. These features are important to build successful mobile games. The study emphasizes on the availability of (Acquisition, Retention and Monetization) elements on every successful game and if any is missed, will lead to the failure of the game.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Notes
- 1.
“Xi” is value for each game under columns (Revenue, New Installs and Daily Active User) and “range Xi” mean all games values in the same columns.
References
Moreira, Á.V.M., Filho, V.V., Ramalho, G.L.: Understanding mobile game success: a study of features related to acquisition, retention and monetization. SBC J. Interact. Syst. 5, 2–13 (2014)
ITU: ITU releases 2014 ICT figures. Mobile-broadband penetration approaching 32 per Mobile-broadband penetration approaching 32 per cent Three billion Internet users by end of this year, Geneva (2014)
Shiratuddin, N., Zaibon, S.B.: Local content game: the preferred choice for mobile learning space. In: ASCILITE, Auckland (2009)
GSMA: 4G Networks to Cover More Than a Third of the Global Population This Year, According to New GSMA Intelligence Data. Number of 4G Operators Worldwide Surpasses 350; 4G Forecast to Account for More Than 30 Per Cent of Mobile Connections Globally by 2020, London (2015)
GSMA: GSMA publishes new report outlining 5G future, Brussels (2014)
EAS: Mobile Games, Washington (2014)
Weber, R.: 7 Predictions for the Mobile Gaming Market (2013). http://www.forbes.com/sites/sungardas/2015/03/05/the-1-thing-employees-do-that-compromises-their-own-companys-cyber-security/
Wentling, I., Dutton, C.J.: Mobile game application. 20. Google Patents (2014). https://www.google.com/patents/US20140256389
Ganguin, S., Hoblitz, A.: Mobile worlds: mobile gaming and learning? In: Göbel, S., Müller, W., Urban, B., Wiemeyer, J. (eds.) GameDays 2012 and Edutainment 2012. LNCS, vol. 7516, pp. 111–120. Springer, Heidelberg (2012)
GmbH & Co. KG: Global Mobile Gaming Market 2014 - Mobile Games Remained the Largest Segment in Terms of Revenue. M2 PressWIRE (2014)
Connolly, T.M., Boyle, E.A., MacArthur, E., Hainey, T., Boyle, J.M.: A systematic literature review of empirical evidence on computer games and serious games. Comput. Educ. 59, 661–686 (2012)
Ke, F.: A qualitative meta-analysis of computer games as learning tools. In: Ferdig, R.E. (ed.) Handbook of Research on Effective Electronic Gaming in Education, pp. 1–32. IGI Global, Hershey (2009)
McClarty, K.L., Orr, A., Frey, P.M., Dolan, R.P., Vassileva, V., McVay, A.: A Literature Review of Gaming in Education (2012)
Lumosity: Lumosity’s Big Data Provides New Approach to Understanding Human Cognition. Business Wire (2013). (English)
Kato, P.M., Cole, S.W., Bradlyn, A.S., Pollock, B.H.: A video game improves behavioral outcomes in adolescents and young adults with cancer: a randomized trial. Pediatrics 122, e305–e317 (2008)
Stasiak, K., Merry, S.: e-Therapy using computer and mobile technologies in treatment. In: Rey, J.M. (ed.) IACAPAP e-Textbook of Child and Adolescent Mental Health. IACAPAP, Geneva (2013)
Google: Game Categories. https://play.google.com/store/apps/category/GAME
Apple: Game Categories. https://itunes.apple.com/en/genre/ios/id36?mt=8
Statista.com: Most popular Google Play app categories, February 2014. By device installs, http://www.statista.com/statistics/279286/distribution-of-worldwide-google-play-app-downloads-by-category/
Statista.com: Most popular Apple App Store categories, January 2015. By share of available apps, http://www.statista.com/statistics/270291/popular-categories-in-the-app-store/
Sheppard, A.: F2P the “most democratic form of development” – Kabam. http://www.gamesindustry.biz/articles/2014-03-05-f2p-the-most-democratic-form-of-development-kabam
Hahl, K.: The Success of Free to Play Games and the Possibilities of Audio Monetization, Tampere, Finland (2014)
Alha, K., Koskinen, E., Paavilainen, J., Hamari, J., Kinnunen, J.: Free-to-Play Games: Professionals’ Perspectives. In: Proceedings of the 2014 International DiGRA Nordic Conference, DiGRA Nordic 2014. DiGRA, Sweden (2014)
Kumar, V.: Making “Freemium” Work. https://hbr.org/2014/05/making-freemium-work/ar/1
MobileGameArch: The Mobile Game Arch Roadmap for the Future of the Mobile Game Ecosystem, http://www.mobilegamearch.eu/wp-content/uploads/2013/09/Mobile-Game-Arch_D33_13September_2013_v20.pdf
Counsell, D.: Paid, Paymium or Freemium. http://dancounsell.com/articles/paid-paymium-or-freemium
Askelöf, P.: Monetization of Social Network Games in Japan and the West. Lund, Sweden (2013)
thinkgaming: Top Grossing iPhone Games. https://thinkgaming.com/app-sales-data/
Acknowledgement
Special thanks to ÁtilaValgueiro Malta Moreira who provides some data, which help this research to be completed (Moreira et al. 2014).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Alomari, K.M., Soomro, T.R., Shaalan, K. (2016). Mobile Gaming Trends and Revenue Models. In: Fujita, H., Ali, M., Selamat, A., Sasaki, J., Kurematsu, M. (eds) Trends in Applied Knowledge-Based Systems and Data Science. IEA/AIE 2016. Lecture Notes in Computer Science(), vol 9799. Springer, Cham. https://doi.org/10.1007/978-3-319-42007-3_58
Download citation
DOI: https://doi.org/10.1007/978-3-319-42007-3_58
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-42006-6
Online ISBN: 978-3-319-42007-3
eBook Packages: Computer ScienceComputer Science (R0)