Google Launches Meridian GeoX Globally via @sejournal, @brookeosmundson

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SEJ STAFF Brooke Osmundson September 10, 2026 ⋅ 7 min read SEJ STAFF Brooke Osmundson Director of Growth Marketing at Smith Micro Software Bio Follow 907 READS Google is making several updates to Meridian, its open-source marketing mix modeling tool, with a bigger focus on incrementality and causal measurement. The biggest update is the global launch of Meridian GeoX, which moves from beta to general availability. Google is also adding new capabilities to Meridian that can help marketers build models and account for longer-term brand effects. The updates give advertisers more ways to measure how their media investments contribute to business results beyond what platform attribution can show. Google first previewed Meridian GeoX in May as an open-source tool for running geographic incrementality experiments. GeoX allows marketers to run experiments across geographic areas to estimate the incremental impact of advertising. The goal is to determine how much of an outcome happened because of the media investment. It can also be used across advertising platforms, so marketers aren’t limited to testing Google media. A useful example could be if an advertiser wanted to use geographic testing to evaluate campaigns running on another platform. It could also test media running across several channels. That makes the global launch more useful for advertisers trying to understand performance across their entire media mix. GeoX also ties directly into Meridian’s role as a marketing mix modeling tool. Marketers can incorporate incrementality results from GeoX into their MMM, giving the model another source of evidence to work from. MMM relies on historical data to estimate how different investments contributed to business outcomes. Those estimates can get murkier when several channels move at the same time or outside factors influence performance. Geo experiments can add more confidence around specific investments by testing whether they produced incremental results. Google says those findings can then be incorporated into MMM to help improve accuracy. That creates a closer connection between modeling and experimentation. Meridian can provide a broader view of performance, while GeoX adds causal evidence from individual tests. GeoX also gives marketers another option when user-level experiments aren’t practical. Geographic testing can create treatment and control areas without relying on individual user tracking. Bringing more experimental data into Meridian is only one part of Google’s latest changes. Google is also adding new tools aimed at making the process of building and working with those models easier. Google is also adding agentic capabilities to Meridian to assist marketers during the model-building process. The tools can audit data quality, help resolve errors, and provide guidance as a model is being built. Google says the assistance will happen in real time. That could take some of the manual troubleshooting out of the process, especially when issues with the underlying data need to be identified before an analysis can move forward. Google is making changes to Meridian’s backend as well, with the goal of running analyses faster and more efficiently. The updates don’t change the inputs marketers need to make a model useful. Teams still need to determine which business and media data belongs in the model and how much confidence to put in the results. Google’s approach appears to focus more on helping marketers work through the technical process. With GeoX adding another source of experimental data, those tools could become more useful as marketers bring additional signals into Meridian. Meridian models can now incorporate relevant brand signals, including Branded Google Query Volume. Google says these signals can help marketers account for the longer-term effects of brand investment. A TV commercial or OOH campaign, for example, may increase interest well before that demand turns into sales. Branded query volume gives marketers another signal to examine during that period. It can help show whether branded demand changed alongside upper-funnel media investment and how that activity fits into the larger model. However, there are some caveats to how marketers interpret that data. An increase in branded searches alone doesn’t establish that a campaign caused future sales. Competitor activity, seasonality, promotions, news coverage, and other factors can influence branded demand at the same time. Meridian can account for brand signals alongside the other business and media data included in the model. That gives marketers more information to work with when evaluating investments whose impact may develop over a longer period. The addition also broadens the types of questions marketers can bring to Meridian as Google builds out its measurement tools beyond immediate campaign performance. GeoX could make Meridian more approachable for marketers trying to get more from MMM, especially when those findings influence larger budget decisions. One of the challenges with MMM is explaining how much confidence to put behind the results. Models rely on historical data and statistical assumptions, which can make it harder to defend a major budget shift based on modeling alone.

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Source: Search Engine Journal

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