How it works
Collaboration without handing anything over
A data clean room is neutral territory: both sides bring data, the room computes the answers, and nobody ever sees the other side’s records. Here is the whole idea in three steps.
Everyone keeps their data
You and your partner each load data into the clean room in protected form, from a file upload, a scheduled database pull, or a stream. Nothing readable ever leaves your side, and nobody hands anyone a customer list.
The clean room finds the overlap
Matching happens inside neutral territory, on protected identifiers, so the platform can tell you how many customers you share and what they do, while neither side can see the other’s records.
Only answers come out
Every result is an aggregate: an overlap count, a lift number, an audience segment. Each one passes automatic privacy checks before anyone sees it, so no individual can ever be singled out.
What you get out of it
Three kinds of answers leave the room, and only these.
Overlap you can act on
How many customers you truly share with a partner, and what that audience is worth.
See industry use casesLift you can prove
Real control groups show what your campaigns actually caused, not what correlation suggests.
See the measurement toolsAudiences you can activate
Matched segments flow straight to the ad platforms and CDPs you already use.
See the destinationsThe guarantees behind it
- Data is protected end to end: at rest, in transit, and during matching
- No party can ever see another party’s raw records
- Results are aggregate-only, with automatic small-group suppression
- Every action lands in a tamper-evident audit trail
Want the full detail: encryption, matching, privacy math, audit? The complete architecture is documented for your security team.
Read the security modelAnd it runs where you choose
Start on managed SaaS, move to a dedicated tenant, or run the whole platform inside your own VPC, where your data never has to leave your infrastructure.