Here at Game Data Pros (“GDP”) , we focus on using data to optimize revenue for games.
We also, strongly, believe in building a community of practice around revenue optimization — that’s one of the reasons we held the Game Revenue Optimization Mini-Summit at GDC in both 2024 and 2025. And that’s why we’ve written a number of articles outlining best practice for revenue optimization: from using multi-arm bandits to tune starter packs to using experimentation to validate MMMs in production, we’re trying to help build a community.
That’s also why we’re so excited to highlight the recent work that Mark Rieke has been doing.
First, we are rebuilding a customer’s MMM using Google’s new Meridian framework. There will be a case study on this in a few months but, in the meantime, we’re excited that to note that GDP is starting to actively participate in the Meridian community.
Here are two of the issues that Mark has filed recently as we work on making this already powerful framework more suitable for gaming use cases.
Second, in May Mark will be presenting at the American Association for Public Opinion Research’s 80’th Annual Conference where he will be discussing methodological approaches that allow forecasters and aggregators to reduce the uncertainty of parameter estimates by modeling the variance of each survey directly (more details here). This isn’t directly related to gaming, but it is an important contribution to the public opinion research community, and we’d like to applaud Mark for his work.
