See it in action: Remarketing in a Decentriq data clean room
Rule-based audiences on the Decentriq platform, showing how rule-based audiences combine exclusion rules with other targeting criteria across multiple data sources.
How is exclusion targeting different from remarketing?
Remarketing re-engages an advertiser's existing customers. Exclusion targeting does the opposite, removing those same customers from a campaign so spend focuses on net-new prospects.
Does exclusion targeting work across multiple publishers at once?
Yes. An advertiser's customer list can be matched separately against each publisher's audience, so exclusions apply consistently even when a campaign runs across several partners.
How often does the exclusion list need to be updated?
As often as the advertiser's customer list changes. Since the match runs fresh each time the campaign refreshes, a newly acquired customer can be excluded from future flights without rebuilding the audience from scratch.
Who decides which customers get excluded?
The advertiser sets the exclusion rules, such as existing customers or recent purchasers, and the clean room applies it automatically during the match.
View Other Targeting use-cases
Lookalikes
Extend reach to similar audiences using matched signals, without exposing the seed audience itself.
explore lookalike audiences ->ID graph onboarding
Bring an identity graph into the clean room for matching and activation without sharing PII with the identity provider
explore ID graph onboarding ->Affinity segments targeting
Match first-party signals to uncover top affinity segments to target
Remarketing
Build retargeting pools from matched audiences without sharing full raw customer data with the other party
