Data Mining
  • The power of benchmarking in your game

    Benchmarks allow you to determine how well your game is performing compared to similar titles on the app store, without requiring any changes to your code. This knowledge can help you make decisions and focus your development on improving game metrics and making a better game. Your core KPIs are the central metrics that we benchmark. KPIs are particularly important […]

  • Chinese Gamers: in-game behaviour of players from China

    During the last few years, the Chinese market has become a massive opportunity for game developers. There are 550 million active smartphones and tablets in the country, and every one of them has an average of 5 games installed. The key questions to answer, therefore, are about the players: How do Chinese players compare to […]

  • Game analytics for everyone – and links to other great talks!

    From the the 10th to the 12th of November I had the pleasure of attending the ninth annual Casual Connect Eastern Europe in Belgrade, Serbia, and the whole experience was a blast. It was the first time the conference was held in the beautiful Eastern European city. With over 1000 attendees from 51 different countries, […]

  • The Game Analytics Playbook at Nordic Game 2014

    Not only did we go the Nordic Game Conference, but Allison Bilas presented a “playbook” with detailed instructions and examples on how to analyse the health of a game, what data to be focusing on to get insights and direction, and a framework by which everyone can be involved in the analysis process. Here’s her take on NG14, and a glimpse into her presentation.

  • Playstyle and Progression

    In this post Anders Drachen introduces some of the main challenges of finding patterns in how games are played and in how play styles change across levels. He also showcases some new research results which were obtained through a thorough analysis of Tomb Raider: Underworld.

  • Tighten Games

    Building tight games with game metrics (Part 3)

    This is the third and last part of adding analytical insights to Daniel Cook’s blog post on “Building tight game systems of cause and effect”. If you missed the two first parts, you can access them through this link Part 1 and this other one Part 2 respectively.

  • Tighten Games

    Building tight games with game metrics (Part 2)

    Two weeks ago we started “metricifying” Daniel Cook’s, Chief Creative Officer at SpryFox, blog post on “Building tight game systems of cause and effect”. This week we begin part two of this game-analytical journey.

  • Tighten Games

    Building tight games with game metrics (Part 1)

    In July 2012 Daniel Cook, Chief Creative Officer at SpryFox, published a blog post about making games easy to understand and play, which he called “Building tight game systems of cause and effect”. Here are a number of game metrics ideas and suggestions inspired by the techniques described in that post.

  • Practical issues in game data mining

    Apart from the purely methodological concerns that gains the most attention on this blog, there are a range of important issues to consider when planning to or performing collection of game telemetry and mining of this type of data. For example, confidentiality of user data and effective pre-processing approaches are among the most important. Here we take a brief look at some of them.

  • Third Party Analytics: what are the options?

    Outside the companies that actually develop computer games and other forms of interactive entertainment, a rapidly increasing number of third-parties have emerged in the past few years to provide analytics-related services to companies. Here we provide a brief overview of the types of providers available and the pros/cons of their services.