Viamedia Maps Ad Future with Uber's H3 in Post-ID World
- H3 system uses 16 different resolution levels, with smallest hexagons covering about 1 square meter
- Viamedia's LFID system enables privacy-compliant audience segmentation without cookies or MAIDs
- Geo-Graph™ system aims to create a 'shared geographic truth' across planning, activation, and measurement
Experts would likely conclude that Viamedia's geographic-first approach with Uber's H3 system offers a promising, privacy-centric alternative to traditional identifiers in the post-ID advertising landscape.
Viamedia Maps Ad Future with Uber's H3 in Post-ID World
LEXINGTON, Ky. – May 14, 2026 – As the digital advertising industry grapples with the slow death of traditional identifiers, ad tech firm Viamedia.ai has announced a significant upgrade to its Geo-Graph™ service that proposes a radical new foundation for targeting: geography itself. By integrating Uber’s open-source H3 hexagonal grid system, Viamedia aims to transform physical space into a precise, privacy-centric intelligence layer, offering a potential lifeline to advertisers navigating the turbulent post-ID era.
The move positions geography not as a simple filter, but as a primary framework for planning campaigns, activating them across channels, and measuring their real-world impact. For an industry plagued by signal loss and fragmentation, it’s a bold attempt to build a new source of truth on a map.
The Crumbling World of Digital IDs
The challenge Viamedia seeks to solve is one of the most pressing in modern marketing. The so-called “post-ID world” is no longer a future concept but a present reality. Google is in the final stages of phasing out third-party cookies in its Chrome browser, following similar moves by Safari and Firefox. Apple’s App Tracking Transparency (ATT) framework has severely limited the use of mobile advertising identifiers (MAIDs) on iOS devices.
This widespread deprecation of identifiers is a direct response to years of mounting consumer privacy concerns and the enforcement of stringent regulations like Europe’s GDPR and California’s CCPA/CPRA. While a win for consumer privacy, it has created a seismic shock for advertisers who built entire strategies on the ability to track individual users across websites and apps. The result is significant signal loss, making it harder to target relevant audiences, control ad frequency, and accurately attribute sales to specific campaigns.
In response, the industry has scrambled to develop alternatives. These include a renewed focus on contextual targeting, the rise of publisher-owned first-party data, and the creation of alternative ID solutions like The Trade Desk's UID2.0. However, these solutions often face their own challenges with scale, interoperability, and consumer adoption. Viamedia.ai is betting on a different approach—one that sidesteps the need for individual identity altogether.
A Hexagonal Solution for a Fragmented Map
At the core of the Geo-Graph™ upgrade is H3, a hierarchical geospatial indexing system developed and open-sourced by Uber. Unlike traditional latitude/longitude coordinates or square-based grids, H3 blankets the globe in a mesh of interlocking hexagons. This geometry offers distinct advantages for data analysis: each hexagon has six equidistant neighbors, which simplifies spatial calculations and reduces the directional bias inherent in square grids.
The system is also hierarchical, with 16 different resolution levels. This allows data to be aggregated from a hyper-local, neighborhood-level view (the smallest hexagons are about a square meter) up to a broad regional or national perspective. By mapping billions of data points to this uniform hexagonal grid, Viamedia creates a consistent language for location that can be shared across disparate media channels, from linear TV and connected TV (CTV) to digital display and video.
This creates what Viamedia executives call a “shared geographic truth.” Traditionally, a campaign planned using zip codes might be activated on a digital platform using IP-based targeting and measured on CTV using a different geographic dataset. These mismatches create inefficiency and waste. With H3 as the foundation, the geographic areas defined during planning are the exact same areas used for activation and measurement, ensuring consistency from start to finish.
From Planning to Performance
The new Geo-Graph™ system is designed to shift campaign optimization upstream, giving advertisers more confidence before spending their budgets. This is a crucial shift from the reactive optimization that has long defined digital media buying.
“Agencies are being asked to guarantee performance with fewer signals and more fragmentation,” said Evan Rutchik, President & Chief Strategy Officer at Viamedia, in the announcement. “Geo-Graph with H3 gives them something they don’t get today: a shared geographic truth across planning, activation, and measurement. It’s how geography finally becomes reliable enough to replace IDs, not just supplement them.”
A key feature enabling this is pre-activation audience validation. Using its proprietary identifier, LFID (LocalFactor ID), Viamedia allows planners to visualize the estimated reach and audience density within any selected hexagonal footprint. This LFID system creates privacy-compliant audience segments without relying on cookies or MAIDs, instead focusing on the aggregated characteristics of micro-localities. Planners can see the potential impact of a campaign on a map before a single dollar is spent, allowing them to refine their strategy for maximum efficiency.
“The shift to H3 modernizes geographic targeting, bringing the capabilities more in line with how brands and agencies want to plan and activate campaigns today,” noted Joel Hall, Chief Product Officer at Viamedia. “This helps advertisers see performance where people actually live—not just where impressions landed.”
Redrawing the Ad Tech Battleground
Viamedia.ai’s strategic pivot is a calculated move in a competitive ad tech landscape. The company itself is a hybrid, formed from the combination of Viamedia's legacy in local television ad sales and the AI-driven technology of LocalFactor, which it acquired. This allows it to bridge the traditionally siloed worlds of linear TV, CTV, and digital advertising.
By championing a geographic-first approach, Viamedia is positioning itself as a disruptor. While many competitors are focused on building a better ID to replace the old one, Viamedia is arguing that the ID itself is the problem. Their solution suggests that for many advertising use cases, knowing the precise characteristics of a small geographic area is more valuable, scalable, and privacy-safe than trying to follow an individual user across the internet.
This approach places it in a unique position relative to other location intelligence platforms, which may provide powerful analytics but are not always directly integrated into omnichannel media activation. It also differentiates it from alternative ID providers, which are still grappling with the complexities of user consent and publisher adoption.
Advertisers and agencies are already using the new capabilities in managed service campaigns. Viamedia plans to extend the features to programmatic guaranteed efforts soon, signaling a path toward wider, more automated adoption. The platform is designed to scale from hyper-local campaigns to national efforts, with the system intelligently adjusting the H3 resolution to maintain performance and usability, ensuring that geography can serve as a robust and reliable foundation for the future of advertising.
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