How the Business Model of Customisable Card Games Influences Player Engagement

Hodge, Victoria, Sephton, Nick, Devlin, Sam, Cowling, Peter, Goumagias, Nikolaos, Saho, Jianhua, Purvis, Kieran, Cabras, Ignazio, Fernandes, Kiran and Li, Feng (2018) How the Business Model of Customisable Card Games Influences Player Engagement. IEEE Trans on Computational Intelligence and AI in Games. ISSN 1943-068X (In Press)

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Official URL: http://dx.doi.org/10.1109/TG.2018.2803843

Abstract

In this article, we analyse the game play data of three popular customisable card games where players build decks prior to game play. We analyse the data from a player engagement perspective, how the business model affects players, how players influence the business model and provide strategic insights for players themselves. Sifa et al. found a lack of crossgame analytics while Marchand and Hennig-Thurau identified a lack of understanding of how a game’s business model and strategies affect players. We address both issues. The three games have similar business models but differ in one aspect: the distribution model for the cards used in the game. Our longitudinal analysis highlights this variation’s impact. A uniform distribution creates a spread of decks with slowly emerging trends while a random distribution creates stripes of deck building activity that switch suddenly each update. Our method is simple, easily understandable, independent of the specific game’s structure and able to compare multiple games. It is applicable to games that release updates and enables comparison across games. Optimising a game’s updates strategy is key as it affects player engagement and retention which directly influence businesses’ revenues and profitability in the $95 billion global games market.

Item Type: Article
Uncontrolled Keywords: Business Intelligence, Clustering Algorithms, Data Analysis, Game Analytics, Machine Learning
Subjects: N100 Business studies
Department: Faculties > Business and Law > Newcastle Business School > Business and Management
Depositing User: Becky Skoyles
Date Deposited: 12 Feb 2018 09:51
Last Modified: 16 Apr 2018 17:34
URI: http://nrl.northumbria.ac.uk/id/eprint/33318

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