Google is expanding its advertising measurement ecosystem with major updates to Data Manager and Meridian, giving marketers new ways to connect first-party data, measure incremental growth and understand which advertising investments are actually producing results.
The changes reach beyond Google Ads. Data Manager is expanding into Google Analytics and Display & Video 360, while Google’s open-source marketing mix modeling platform Meridian is gaining agentic AI capabilities and wider access to experimentation tools.
The bigger picture is clear. Google wants advertisers to move beyond basic attribution reports and toward a measurement system built around first-party data, modeling and incrementality.
Google Data Manager Expands Beyond Google Ads
Google is expanding Data Manager into Google Analytics and Display & Video 360, giving advertisers more places to connect and manage first-party information. Businesses can use the system to bring together customer signals from websites, apps, CRM platforms, physical stores and offline transactions. That could make it easier for marketers to work with data that would otherwise remain scattered across several platforms.
Google says advertisers that connect offline and app data through Data Manager have seen an average 26% increase in incremental return on ad spend. That figure comes from Google’s own global measurement data, so marketers should view it as a reported benchmark rather than a guaranteed result.
Data Manager API Becomes Universal
Google is also making the Data Manager API universally available, giving advertisers and technology partners a more standardized way to build secure data connections. The API uses the IAB Tech Lab’s Event & Conversion API standard, which is designed to make data sharing and measurement integrations more consistent.
The platform also includes diagnostics that can detect problems in data connections. That matters because even a sophisticated measurement setup can become unreliable if customer information is incomplete, incorrectly formatted or failing to reach advertising systems.
Google Ads Gets a Data Strength Uplift Metric
Google Ads is introducing a Data Strength Uplift Metric that gives advertisers a clearer view of how much additional conversion activity their first-party data infrastructure is helping recover.
Instead of simply showing whether a business has connected more data sources, the metric attempts to quantify the performance benefit. Google says advertisers using Google tag gateway have seen an average 14% conversion uplift, while Demand Gen campaigns have recorded uplift above 20% in its cited data.
Actual results will still vary depending on campaign setup, audience quality, tracking accuracy and industry.
Meridian Gains Agentic AI Capabilities
Google is adding agentic AI features to Meridian, its open-source Marketing Mix Model platform. The AI tools are designed to help marketers check data quality, identify errors and receive guidance while building measurement models.
Marketing mix modeling can be complex because it requires businesses to combine information from several channels and then analyze how those investments contributed to overall performance. AI assistance could make some of those tasks easier, particularly for teams that do not have large analytics departments.
Google has also made back-end improvements intended to speed up Meridian analyses and make the platform more efficient.
Meridian Can Measure Brand Signals Alongside Conversions
Meridian can now incorporate additional brand signals, including Branded Google Query Volume, into marketing models. That gives advertisers a way to study campaigns that may influence consumer demand even when they do not generate an immediate click or purchase.
A video campaign, television advertisement or out-of-home campaign may increase brand searches before customers later convert through another channel. Traditional attribution systems can struggle to reflect that relationship because they often give more credit to the final interaction.
By adding brand signals into Meridian, marketers can examine a wider range of influences that may contribute to business growth.
Meridian GeoX Rolls Out Globally
Google is making Meridian GeoX generally available worldwide. The open-source tool allows marketers to run causal geographic experiments by comparing test markets with control markets.
This approach can help businesses estimate whether advertising actually caused an increase in sales, conversions or another important outcome. Those experimental results can then be used alongside Meridian’s broader marketing mix models.
The combination is useful because modeling can identify relationships between advertising activity and business performance, while experiments can provide stronger evidence that the advertising itself caused the observed change.
Google Is Shifting Measurement Toward Incrementality
Google’s latest updates suggest a broader move away from relying only on attribution. Marketers have traditionally focused on deciding which campaign, keyword, platform or click should receive credit for a conversion.
Google is increasingly emphasizing incrementality instead. The question becomes whether an advertisement generated a result that would not have happened without that advertising investment.
Data Manager strengthens the first-party data feeding into campaigns. Meridian analyzes performance across several marketing channels. GeoX adds controlled experiments. AI then helps marketers work through the growing amount of data.
Together, these tools point toward a more connected approach to advertising measurement.
What the Updates Mean for Website Owners and Digital Marketers
Website owners running paid advertising may benefit from having stronger first-party data connections because customer journeys rarely happen inside one platform. A person might discover a company through video, search for the brand later, visit its website and eventually convert through another channel.
That makes clean customer data increasingly important. Businesses that connect website activity, CRM information, offline sales and app data may be able to build a more complete view of their marketing performance.
The updates also suggest that marketers may need to look beyond last-click reports. Attribution remains useful for campaign optimization, but marketing mix modeling and incrementality testing can provide a wider view of whether advertising is actually contributing to business growth.
Google Builds a More Connected Measurement Stack
Google’s Data Manager and Meridian updates may not attract the same attention as a major consumer AI launch, but they could have a meaningful impact on advertisers.
Data Manager is spreading across Google’s marketing ecosystem, while Meridian is gaining AI assistance, more brand signals and broader experimentation capabilities through GeoX.
The direction is becoming more obvious. Google wants marketers to connect more of their own data, test what genuinely creates additional results and use AI to make sense of increasingly complicated customer journeys.
Advertising measurement is gradually moving away from simply deciding which channel deserves credit and toward a more important question: what actually created growth?
Sources
Search Engine Land:
https://searchengineland.com/google-expands-data-manager-and-meridian-measurement-tools-487963
Google:
https://blog.google/products/ads-commerce/data-strength-updates/
Google for Developers:
https://developers.google.com/meridian
Google Data Manager:
https://business.google.com/us/accelerate/announcements/data-manager/