“At GameAnalytics we believe that games should be data driven. We want to help nurture a culture that combines the creative with the analytical within game companies . We want to empower game developers with a service that will help them develop and operate games as live services, with daily, metrics-based player feedback. We strongly believe this will allow all developers to continually iterate, innovate, and invest in content their players will love.”
Mission Statement, GameAnalytics
With this statement to guide us, we launched GameAnalytics publicly about eight months ago. Since then, we’ve been blown away by the warm welcome we received from the games community: close to 1,000 games now actively use our service.
Large game companies like EA, Microsoft, Zynga, Supercell, Kiloo, and Rovio have the resources to be data driven. They employ large teams of dedicated analysts who use custom-built, proprietary data warehouses that cost millions to build and run. Most smaller teams, without such resources at their fingertips, cannot hope to be truly data-driven.
Until now, that is. At GameAnalytics, we want to change that. Our goal is to contribute to the emerging community of smaller game developers that is hard at work creating the next generation of great games—we believe this group will redefine the games industry as we know it.
I think it’s fair to say that Unity got things started by democratizing the tools needed to be competitive in today’s game landscape. Now GameAnalytics is continuing the crusade by democratizing game improvement: now is the time for every single game developer, big or small, to become truly data-driven.
I hereby officially announce that GameAnalytics is now 100% FREE.
What does this mean to you, the customer?
All paying customers will no longer be charged for our service and all users who are currently on the free plan no longer need to worry about growing into a paid tier.
And that is all there is to it.
Nothing happened to your data, which is just as secure on our servers as it were before we switched to being totally free. Furthermore, we did not delete any of the information registered on our servers, not even for the users who have been inactive in the last several months.
It all sounds too good to be true… What’s the catch?
With GameAnalytics going totally free, you might ask yourselves how do we intend to monetize in the future. Our path to revenue includes building up a series of new products that will be released within the next 6 to 12 months. One is a sophisticated data-mining tool for enterprises (that works with GameAnalytics) and others are products supporting game distribution and monetization.
You can already sign-up for an early sneak-peek of Miner, our upcoming data-mining service:
We believe that we’ve done our part; now we are asking you, our users, to do yours. Please take to social media and help spread the word that GameAnalytics is free for all! Also, get ready for some awesome new features to be released in the coming months. We’re hard at work continuing what we started!
Here at GameAnalytics we believe that in game development, as in any other fields, knowledge is equivalent to power.
However, no matter the size and nature of different game studios, they are all united in a slight lack of such knowledge: if a game studio makes it big, it rarely knows and understands the factors that have led to its success.
Analytics is a powerful tool for informing decision making at strategic and operational levels in game development. It will help you answer key questions about design, fun, engagement, play, monetization and more. But it is a relatively new process in game development and there is not a lot of knowledge available out there for the non-expert. In this blog post, we will try to help you get started on analytics.
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.