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Among the Best Privacy-First Audience Data Providers in 2026

Writer: GDR
GDR
16 hours ago
1 min read

The future of advertising needs better audience intelligence - not more personal data.


We’re excited to share that Global Data Resources has been recognised among the top 10 Best Privacy-First Audience Data Providers in 2026, in a new industry research published by Lara Translate.


Move to IDfree.ai - fast 'n for free.
Lara Translate compares ten audience data and segmentation providers that work without third-party cookies or personal identifiers in 2026.

Better understanding - without the identifiers


As the advertising industry evolves beyond cookies, mobile IDs and traditional identity-based targeting, the need for meaningful, privacy-first audience intelligence continues to grow.


At GDR, we turn geo-demographic intelligence into actionable audience signals. All for brands and media teams to easily understand consumer patterns, activate relevant audiences and drive performance without relying on personal identifiers.


Our approach combines real-world location intelligence, consumer insights and scalable activation to make privacy-first marketing practical, not just aspirational.


The next chapter is already taking shape


With IDfree.ai, we’re bringing audience intelligence, market insights, and media activation together in a single AI-powered workflow.


The goal is simple: make sophisticated audience activation easier, faster and more accessible.


Because the future isn't about knowing more about individuals.

It's about understanding the patterns that matter.


We see patterns. Not people.


We're proud to be part of this year's overview - and even more excited about what's ahead.


Want to explore what privacy-first audience intelligence can do for your next campaign?


Get in touch with Gunnar and the GDR team: gunnar.kihl@globaldataresources.io.


👉 Read the full overview by Lara Translate: Best Privacy-First Audience Data Providers in 2026


👉 Check out the good company we keep!




GDR - We see patterns. Not people.



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