When you have data about players behaviour, server performance or system functionality, how do you convert it into something meaningful? How do you move from raw data to actionable insights?
Data mining is a process used by gaming companies to turn raw data into useful information. By using software to look for patterns in large batches of data, game studios can learn more about their gamers to develop more effective marketing strategies, increase revenues and decrease costs of user acquisition.
- Client data integration and reporting from disparate sources
- Online game performance tracking and analysis
- F2P analytics, forecasting and modeling
- General data science challenges focusing on games
While review scores and perceived game quality are frequently used to help forecast game sales, they are often very unreliable and too many games defy rules that regression and other quantitative analyses would dictate. The one true forecaster of game sales that has no historically good measure is accessibility.
Accessibility is the likelihood of a consumer enjoying a game. This means that a game must penetrate all the layers of consumer and market activities that keep a game from being purchased and enjoyed.
Games with higher accessibility sell more than games with lower accessibility. While this definition is simple on the surface, it is highly complex metric composed of many qualitative, technological and creative factors both internal and external to the game itself that vary by genre, platform, brand and even release window.
Here’s what you can expect from our Accessibility Assessment:
- Forward looking Genre / Category analysis and competitive landscape overview of future game releases
- Analysis of how your game’s story, gameplay and presentation will impact its accessibility
- Specific recommendations to increase accessibility (and thus sales)
Assessing a game’s accessibility is both an art and science. We can help you find your game’s true accessibility factors and create a plan to maximize it.