Qujam has launched Hyper-Grid Geofencing, a location-targeting capability designed to give advertisers a more transparent alternative to precision geofencing as U.S. state privacy requirements place greater limits on highly granular location targeting.
The technology replaces custom polygon boundaries with advertiser-selected 0.5-mile-by-0.5-mile geographic cells based on two-decimal latitude and longitude coordinates. Qujam says the approach is designed to provide a visible targeting boundary rather than allowing a platform to automatically modify a campaign’s original geofence in the background.
Location Targeting Adapts to Privacy Requirements
Precision geofencing traditionally allows advertisers to draw highly specific geographic boundaries around physical locations. Qujam says new restrictions in Oregon, Maryland, Virginia, New Jersey and Connecticut have limited that approach, creating a need for less granular location signals. Its current product documentation identifies those five states as affected by restrictions as of October 2026.
Hyper-Grid instead lets advertisers select predefined geographic cells directly. The company says this is intended to address a transparency issue that can arise when a platform automatically expands or modifies a drawn geofence to meet location-data requirements without showing the resulting targeting area clearly to the advertiser.
The distinction is particularly relevant for agencies and advertisers managing campaigns across multiple jurisdictions. Rather than maintaining different workflows for restricted and unrestricted locations, a grid-based model can provide a standardized targeting structure while reducing the granularity of the location signal.
Demographic and Cross-Channel Targeting
Qujam’s platform supports OTT/CTV, video pre-roll, digital audio and display advertising, allowing Hyper-Grid audiences to be activated across several digital formats. The company also says advertisers can layer demographic targeting onto the geographic cells and track digital conversions such as website visits and landing-page interactions.
This creates a different targeting model from traditional geofencing. Geographic precision is reduced, but advertisers can potentially compensate by combining location with audience attributes.
Qujam says Hyper-Grid can also offer lower CPMs than its precision geofencing for campaigns using geographic targeting without additional demographic layers. That is a company-provided pricing claim rather than an independently verified market comparison.
Market Landscape
The product arrives as location-based advertising faces increasing scrutiny around the collection and use of precise geolocation data. For advertisers, the challenge is balancing geographic relevance with privacy requirements while maintaining sufficient audience scale.
Qujam’s approach also illustrates a broader shift in location-based AdTech: targeting precision is no longer determined solely by how accurately an advertiser can draw a boundary. The underlying data granularity, regulatory environment and transparency of the targeting mechanism increasingly influence how campaigns can be designed.
For agencies, standardized grid cells could simplify campaign planning across jurisdictions. For local advertisers, the model provides access to geographic targeting while allowing broader audience layers to be applied.
Strategic Outlook
The strategic significance of Hyper-Grid is its attempt to make privacy-driven targeting restrictions visible at the campaign-design level. Instead of treating compliance as a backend adjustment, Qujam exposes the geographic unit that will be targeted and lets advertisers select those units directly.
That approach could become increasingly relevant as state-level privacy requirements diverge. However, advertisers still need to evaluate applicable laws and platform policies for individual campaigns; Qujam’s technology does not eliminate the need for legal and privacy review.
The broader AdTech implication is a move toward location targeting that trades some geographic precision for greater transparency, standardized boundaries and potentially broader addressable audiences.
Top Insights
- Qujam’s Hyper-Grid uses selectable 0.5-mile-by-0.5-mile geographic cells instead of custom precision polygons.
- The technology is designed for location targeting where precision geofencing is restricted.
- Advertisers can combine geographic cells with demographic targeting and digital conversion tracking.
- Supported media includes OTT/CTV, video pre-roll, digital audio and display.
- The approach makes the resulting geographic targeting boundary visible during campaign setup.
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