Abstract With the emergence of mobile distribution channels, the traditional game value chain has produced new changes, leading to the emergence of the mobile value chain. Independent (Indie) game developers can upload their games directly through third-party app stores and publish them themselves. However, many indie game developers have issues with game publishing, especially updating the new version, promoting the market, and forecasting revenue for their games. This paper aims to provide a method to guide indie mobile game developers with mobile publishing. This new method mainly focuses on addressing the main challenges from the indie game developer’s side. The method includes a new concept of mobile game publishing logic and an online analysis tool along with the guidelines. It shows how to collect and analyze data and guide new version updates, marketing promotion, and revenue forecasts. In practice, the method was provided to six indie game companies and guided their mobile game publishing, and related data were collected and analyzed for evaluation. Based on the survey and interview results, the usefulness, usability, and confidence in the method were positive, and the method improved the indie game developers’ mobile game publishing and benefited their game business.

Abstract Games as a service is similar to software as a service, which provides players with game content on a continuous monetization model. Game revenue forecast is vital to game developers to make the right business decisions, such as determining the marketing budget, controlling the development cost, and setting up benchmarks for evaluating game publishing performance. How to make the revenue forecast and integrate it with the game publishing process is hard for small and medium-sized independent (indie) game developers. This includes all steps of the process, from forecasting to decision-making based on the results. This paper provides a data-driven method that uses the mobile game revenue forecast based on different time-series prediction models to drive the game publishing. We demonstrate how to use the data-driven method to guide an indie game studio to forecast revenue and then set the revenue forecast as the internal benchmark to drive game publishing. In practice, we involve a real game project from an indie game studio and provide guidance for one of their casual game projects. Then, based on the revenue forecast, we discuss how to set the revenue forecast as an internal benchmark and drive the actions for mobile game publishing. Finally, we make a conclusion on how our data-driven method can be used to drive mobile game publishing and also discuss future research work.

Abstract As a business model, the essence of games is to provide a service to satisfy the player experience. From a business perspective, development in the game industry has led to the application of Business Intelligence (BI) becoming more and more extensive. However, related research lacks systematic examination and precise classification. This paper provides a comprehensive literature review of BI used in the game industry, focusing primarily on game analytics. This research mainly studies and discusses five aspects. First, we explore game analytics aspects in the available literature based on the traditional game value chain. Second, we find out the main purposes of using analytics in the game industry. Third, we present the problems or challenges in the game area, which can be addressed by using game analytics. Fourth, we also list different algorithms that have been used in game analytics for prediction. Finally, we summarize the research areas that have already been covered in literature but need further development. Based on the categories established after the mapping and the review findings, we also discuss the limitations of game analytics and propose potential research points for future research.