Game Analytics publishes articles on game analytics issues. The new material deals with the basics of this process and the sources of information.

Analytics consists in the processing of information and the practical use of the results obtained. It covers all activities, from simply interviewing new users to upgrade the game to providing large-scale support at the company level.

Analytics relies on statistical and mathematical methods, programming and data visualization. The main goal is to get information and formulate useful information based on it. That is, analytics is necessary so that decision-making is based on facts, and not just on intuition.

Anders Drachen, the author of the material, identifies three main data sources:

  1. Market: official reports and documents describing how popular the game is, who represents its target audience, etc.
  2. Company: internal data, for example, reports, budget information, business plans and everything else created for corporate use.
  3. Users: They represent the most popular data source in game analytics. In this category, it is possible to distinguish user studies, purchasing behavior, data received by customer support, etc.

All data obtained from these sources should be considered in terms of three “dimensions” – time, geographical location and products. For example, you can find out the user’s purchase history, where he lives and how much time he spends on different games. This data comparison will help to better understand the behavior of users.

Links to previous materials on this topic:Game Analytics: Getting started with Analytics

  1. How to evaluate the user experience?
  2. Editor’s note: The original was written by Anders Drachen, chief game analyst at Game Analytics.