Insights and tips about the games industry

Discover how Ramen VR used data-driven game development to launch "Zenith: The Last City", which became the #1 bestselling game all major VR platforms—including Meta Quest/Rift, Steam and PlayStation VR.

Discover how tweaking AI tool settings can help you generate varied art styles, produce better concepts, and speed up the process from prototype to final design. With AI on your team, creating unique game art has never been easier or faster.

Learn how to create an adaptable tracking plan, enabling you to unlock richer insights and maximize the value of your data within GameAnalytics.

Our COO, Allison, recently joined Mobvista for the first episode of their "From Zero to Hero" video series. Watch the video today for a detailed overview into tracking three essential pillars of gaming success: Acquisition, Engagement, and Monetization.

Learn how successful publishers evaluate hundreds of games per month, to find the next hit game.

VR is all about immersion. It’s about allowing players to lose themselves in more than just a game, but a new world. You have to build VR experiences the right way to make this happen. This goal is always top-of-mind for Schell Games. In this interview, we spoke to Schell Games’ Vice President of Product, Charlie Amis, to learn their story. “For VR, you want to make the player feel like they’re actually in the world you’ve created. This isn’t as true or a high priority in PC and console games. If people start to lose that sense of presence and immersion, then a lot of the reason they put the headset on is hurt. They want to go to another world or be someone new. So you need to help them feel like they’re really there and really that...

It’s been a busy time since February, when the largest update in GameAnalytics history was launched. Read on for more information about what’s changed recently, and new functionality coming to the platform very soon.

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...

Over our last couple of blogs around data warehouses, we’ve explained how they let you analyze data from across your portfolio and look at what insights you can gather from them. Now, we’ll dive into how to build a data warehouse. What steps do you need to take and what resources will you need? To figure this out, we’ve rounded up the costs, steps, and tools we think you’ll need to get started. Please note, that we haven’t included the cost of running an engineering department (which you’ll need), which can end up being a lot of $$$. What do I need to get started? Before you start, you’ll need to ensure you have the right people. You’ll likely need a software or data engineer, and perhaps an architect or DevOps engineer. You’ll also need to budget for tools like...