What people buy—and where—has long been the industry’s most valuable signal.
To that end, NIQ, a consumer intelligence company focused on purchase behavior, has partnered with location intelligence platform Adsquare.
Through the partnership, NIQ’s GeoPurchase audience segments—built from anonymized, local purchase data—are now integrated into Adsquare’s platform. The segments are available across North America and Europe, and can be activated via Adsquare’s OnePlatform, OOH Planner, and its DSP integrations.
Why This Matters:
Programmatic targeting is still largely built on proxies. Think signals like browsing behavior, contextual alignment, or modeled audiences. NIQ is positioning GeoPurchase as something closer to the source: actual purchase behavior, not inferred intent.
There’s also a growing push to connect digital media with real-world outcomes. Adsquare frames this squarely in that direction, as advertisers look for clearer links between media exposure and offline results. Bringing purchase-based segments into environments (like DOOH) is part of that shift.
The timing aligns with broader market adoption trends as advertisers seek more accountable performance metrics and higher data fidelity.
Experts React:
Here’s what Josh Pisano, GM of Global Media at NIQ, had to say about the partnership:
“By combining NIQ GeoPurchase audiences with Adsquare’s location intelligence, we’re enabling marketers to use real‑world performance signals to make sharper media decisions and drive measurably better outcomes.”
And here’s what Maria Botelho, VP of Global Partnerships at Adsquare, had to say:
“As we move further into The Outcomes Era, advertisers are—rightly—demanding to understand the offline impact of their online campaigns. Offering NIQ’s GeoPurchase audience segments within the Adsquare platform gives them access to high‑quality segments grounded in real‑world purchase behavior.”
Our Take:
There’s no shortage of announcements around “purchase-based” or “outcome-driven” targeting tied to local buying behavior. The real test isn’t distribution or access, though, it’s performance.
If these segments can prove incremental lift over existing targeting signals, they’ll stick. If not, they risk becoming just another data layer in an already crowded ecosystem.
