Editor’s note: we recently shared details of a major GameAnalytics update which includes a substantial overhaul to our product and infrastructure. Check it out for more context. At GameAnalytics we have been using Apache Druid and Imply (Imply.io) for over four years  to power our analytical backend, allowing us to achieve a responsive frontend experience for our users. This is due to the low latency querying that Druid enables through the usage of approximation algorithms. Recently we had the opportunity to present the work behind our Druid implementation in the BigDataLDN 2022 event, where we covered our new funnels feature and the usage of the Theta Sketch algorithm from the Apache DataSketches library (https://datasketches.apache.org/). Here’s a recording of the talk. Enjoy!

What’s going on? If  you missed it before, we recommend that you check out this post we shared a few days ago for more context: GameAnalytics is changing… As promised, we will now deliver more detail on the Open Beta. We’ve included a video introduction and also a list of all major features describing what functionality is delivered initially and what additions to expect over the following months. See it in action In this video, Kasia from our product team gives a detailed overview of all the new functionality available in our Open Beta. It covers all key features — please give it a watch to get the most out of this update! What is the Open Beta? The Open Beta is a period of time when a new and separate version of GameAnalytics is available whilst features are being...

Editor’s note: since we posted this we’ve been busy bees; we’re delighted to say that the Open Beta is now live! For more details (including a video demo), check out our Open Beta update here. About this change We’re truly excited to announce that we’ll soon be launching a major, much anticipated and much revamped version of GameAnalytics. In this update, we’ll share details about what we’re changing, why we decided to make these updates, and what improvements you can expect them to bring. So… what’s going on? Over the past few years, we’ve focused on developing a new version of GameAnalytics, bringing huge improvements to load times, studio management, game organisation, funnels, AB testing and event level analysis with our explore tool. This is just the tip of the iceberg; our new version represents a fundamental overhaul to our...

We’re delighted to announce that we’ve now bundled access to all of our DataSuite features under one plan, with just one price. So it’s now simpler (and cheaper!) to access your GameAnalytics data. If you’d like to learn more, just book a consultation or request pricing for your particular needs here. So what does this mean? Well, without breaking the bank, you can now get access to every feature we have in DataSuite for a single monthly cost. You’ll be able to query your raw data, extract it into your own internal tools, easily spot trends and perform advanced analysis across your entire portfolio of games. In this article, we’re going to cover exactly what those features are, why we’ve made this change, and how you can use DataSuite to learn more about your games and your players. Multiple ways...

Imagine this. You come into work, load up your dashboard, and you’ve got a map of the world – each country a different colour. The greener the country, the more your game is making there. Visualizing your data can help you understand how your games are performing on an instinctive level. Numbers don’t often ‘click’ in our minds. But visuals – those give us gut feelings. They can help you see your data from a different perspective, and let you spot important insights you would have otherwise glossed over. But what can you do? Let’s dive into the top data visualization techniques and how to use them. 1. Line charts: Think time Line charts show us how values change over time. They’ll let you spot trends, like whether you have a lull in your installs on the weekends. Need to...

TapNation helps nurture over 80 studios to develop hit games. Data is crucial when working on any genre. But particularly when you’re making a hypercasual game. TapNation helps studios all over the world to develop and improve their games. But to do that, they need accurate data. Fast. That’s where DataSuite comes in: it’s a collection of our services to help you bring all your data together and easily plug it into your other systems. We spoke with TapNation’s VP of engineering, Kamel Haddad, to see how that works. And what they use DataSuite for. Tell us a little about TapNation and yourself Sure thing. We are TapNation. We’re a publisher based in Paris and have taken around 80 different studios worldwide under our wing. Over the last few years, we’ve had around 19 hit titles, counting over 500 million...

DataSuite Raw Export: Every event, every data point; unfiltered, unaggregated, untouched. So you have complete control of how you use it. Fancy learning some more about DataSuite? Watch our other videos: Metrics API from GameAnalytics Raw Export from GameAnalytics

DataSuite Player Warehouse is our prebuilt, fully-featured, data warehouse for your games at a fraction of the cost of building your in-house similar data pipeline. Fancy learning some more about DataSuite? Watch our other videos: Metrics API from GameAnalytics Raw Export from GameAnalytics

Metrics API Fetch your metrics for all of your games – Build custom dashboards showing essential metrics you care about. Compare all of your game’s KPIs and pulse at a glance. Fancy learning some more about DataSuite? Watch our other videos: Player Warehouse from GameAnalytics Raw Export from GameAnalytics

Smashing obstacles with Giant Rush While they’ve seen huge improvements using DataSuite across their portfolio, one game stands out in particular: Giant Rush. (And not just because the character is huge.) The title has now reached over 140 million downloads. And, through a series of A/B tests and insights from the data they collected, they’ve been able to increase the LTV by a whopping 200% over six months for this specific title. “It’s because we A/B test every day,” Philippe Grazina from TapNation says. “We ask questions like: When are players leaving the game? For example, the boss in Giant Rush. If we spot that they’re leaving at the same point every time, we know we need to make a change. Small details like that really help.” Through these granular insights, TapNation can iterate and improve on their game step...

We’ve improved our A/B testing feature on GameAnalytics so you can optimize further your games and try out new great ideas and concepts. You can now stop user acquisition and exclude offline users from your tests. A/B Testing: Stop acquiring users We notice many game developers want better control over the allocation of users in an experiment. There are situations where developers would prefer a cohort to remain active; however, no more users join this experiment. For this reason, we introduced a functionality where you can choose if and when you’d like your experiment to stop allocating more users. How does it work? While an experiment is running (active), the number of users allocated to the test is displayed on the page.  When you want your test to stop assigning more users, click the Stop Acquiring Users option from the...

Over the last couple of years, we’ve released a new website, tools and features, completely new product lines. We’ve been building your toolkit to not only perfect your titles, but to scale and thrive in an ever competitive industry. So in this blog, we’re going to cover: A recap of all of the tools and products we’ve released. Our company structure and what’s new. And our plans for 2022. But before we move on, we want to say a massive thank you to all of our users and supporters, and give a shout out to the crew behind GameAnalytics. We’re lucky to have an excellent team in our cavalry, and a great community to listen to – your ongoing support and feedback has helped shape our tools and our business. Let’s get to it. A look back: What we’ve done...