Video Game Analytics Task
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A Video Game Analytics Task is an analytics task for a video game.
- Context:
- It can be supported by a Video Game Analytics System, such as one supported by a video game analytics platform.
- It can include: Video Game Player Behavior Analysis (of video game player behavior), Video Game Marketing Analysis (of video game marketing campaigns),
- …
- See: GameAnalytics.
References
2020
- https://looker.com/solutions/gaming
- QUOTE:
- Determine players’ behaviors to create better games: Better data helps to build data experiences that lead to better games. Gaming analytics can be used by product managers, developers, and marketers to see which features are used most, discover levels or areas in the game players are getting stuck, and identify player lifetime value.
- Level up your monetization strategy: Unlike other gaming analytics tools with siloed results, Looker combines marketing and behavioral data so you can acquire the right types of players for your game. This combination allows you to connect your revenue to marketing spend and determine which networks, campaigns, and creative strategies gain the greater results.
- Analyze all your data to answer any question: Player retention and repeated gameplay require a deeper analysis of the data generated by your players. Unlike other mobile gaming analytics tools that may look at piecemeal data and limit your analysis, Looker leverages the power of databases like BigQuery and Snowflake to answer questions directly in the fastest and most efficient way.
- Standardize metrics across games: Standardizing important metrics, like D7 retention or Return on Ad Spend (ROAS), creates consistency and accuracy. By applying a central logic definition to your metrics, all of your team members will be on the same page when it comes to your data.
- QUOTE: