AdLib Geofarming converts location data from past visits into privacy-safe, high-performing audiences — ready for conquesting, retargeting, or lookalike expansion across every DSP.
Advertisers often struggle to connect offline consumer behavior with digital retargeting.

Legacy geofencing tools capture impressions but fail to build reusable audiences.

Without clean, timestamped visitation data, brands lose opportunities to reach real customers who’ve already shown intent.

Marketers need a reliable way to transform verified foot traffic into addressable audiences, while respecting privacy and ensuring scalability across multiple DSPs.
AdLib Geofarming takes historical visitation signals and turns them into digital segments.
The system aggregates anonymized device-level data, verifies it through multiple location partners, and builds deterministic audience lists of users who visited a physical place in the last 7–30 days.
Activate these segments directly across CTV, display, mobile, and audio channels—all from within AdLib’s unified platform.
Run conquesting campaigns against competitor store visitors, retarget past customers, or expand into lookalike audiences using our predictive modeling engine.
Turn verified visitation data into privacy-safe audiences you can activate, retarget, and refresh across every channel.
Build audiences from verified foot traffic data.
Retarget visitors or conquest competitor locations.
Privacy-safe, deterministic data aggregation.
Activate across all channels and DSPs.
Automatically refresh audiences for ongoing campaigns.
20-50%
higher conversion rates than non-location-based segments
Improved brand lift and in-store return visits
2-3x
longer campaign longevity through automated audience refreshes
Schedule a demo to see how AdLib helps programmatic media buyers get back 40% of their time spent juggling multiple DSPs and reporting platforms.