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About this blog

Welcome to the GameAnalytics blog, where we try to help game makers build more engaging experiences through a strong understanding of their core metrics.

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Development & design

Essential reads on game development and design: covering everything from best design practices for your game, to balancing your gameplay and reducing player churn.

What Are Game Metrics?

Game metrics is what telemetry is transformed into, and what provides the direct value to development and monetization. In this post we try to set up a definition for what a game metric is.

Metrics In Online Games: A Historical Perspective

Online games are of particular interest in game data mining because their underlying business model is highly dependent on understanding player behaviour, and currently one of the major forces driving the use of and innovation in data mining in game development.

Measuring Player Experience

if we can analyze the behaviour of a player and find out whether or not the player is having a good experience playing the game, and if not why, there is a lot of revenue that we can prevent losing from players quitting.

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Fundamentals of Gameplay Metrics Work (Pt. 2/2): Explorative vs. Hypothesis Driven

How do we work with gameplay metrics at the fundamental level? In the second part, we dig deeper and look at the factors driving the work.

Fundamentals of Gameplay Metrics Work (Pt. 1/2): Synthesis Vs. Analysis

Gameplay metrics form the "bread and butter" telemetry data when evaluating design. These are the metrics that describe how people actually play games. But how do you work with them?

Using Drill-Down Analysis To Find Out Why

When something is missing or malfunctioning in a game, it affects how people play. When we see players spending twice as much time on level 5 as intended, something we did not plan for is happening.

Game Data Mining: Fundamentals

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?