A data clean room lets two parties analyze their combined data without either one seeing the other's raw rows. It's genuinely useful, thoroughly overhyped, and in 2025 the independent-vendor version quietly consolidated.

What a clean room actually is

It's a controlled environment where you and a partner, or you and a platform, bring data together and run queries that only return aggregate results. Records are matched on hashed identifiers, and no raw personal data leaves either side.

The point is to answer questions across two datasets, like overlap and incremental reach, without handing your customer list to anyone.

The main platforms

A handful of names dominate, and they're not the same kind of thing:

  • Google Ads Data Hub, for analyzing your campaigns against Google's owned data.
  • Amazon Marketing Cloud, for the Amazon ad and shopping ecosystem, made free for Sponsored Ads advertisers in late 2025.
  • LiveRamp, focused on interoperability across partners, which acquired Habu in 2024.
  • Snowflake, the warehouse-native option many teams already have.
  • InfoSum, a federated approach where data never moves, acquired by WPP in 2025.

Why marketers use them

Clean rooms exist because the walled gardens won't hand over user-level data. They let you measure across a platform's data, match your first-party audience to it, and prove overlap or incremental reach, which is why retail media pushed adoption hard.

Industry surveys put adoption around two-thirds of large advertisers, so this isn't fringe anymore.

The 2025 shakeout

The independent clean room market thinned out fast. Habu went to LiveRamp, InfoSum went to WPP, and commentators started calling it the end of the independent clean room era.

For you that means fewer truly neutral options and more clean rooms owned by the same holding companies and platforms whose data you're trying to measure. Worth keeping in mind when you pick one.

When it's worth it, and when it isn't

  • Worth it when you have real scale, a specific cross-party question, and a partner willing to join.
  • Not worth it as a vanity project, because aggregation limits and setup cost are real.
  • Never a silver bullet: a clean room measures overlap, it doesn't create first-party data you didn't collect.

Data clean rooms let you measure across data you're not allowed to see, which is exactly why they matter in a privacy-first world. Just go in clear-eyed after the 2025 consolidation: pick one for a real question, mind who owns it, and don't expect it to fix a thin first-party foundation.

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