See it in action: Remarketing in a Decentriq data clean room
Remarketing on the Decentriq platform, showing how to identify and reach existing customer segments within a publisher's audience.
How is remarketing different from retargeting?
Remarketing re-engages an advertiser's own known customers using its CRM data. Retargeting follows pseudonymous prospects around the web using a tracking pixel, without necessarily knowing who they are. See our guide to remarketing vs. retargeting for the fuller distinction.
How is remarketing different from lookalike targeting?
Remarketing reaches an advertiser's own existing customers. Lookalike targeting instead finds new prospects who share characteristics with those customers.
What match rate can the advertiser expect?
Unfortunately there's no easy answer here, as it's highly dependent on your data, the data of your partners and the common identifier(s) you use to match it. Rest assured, the match rate is not such a critical metric for most use cases, see this article that explains why.
Does any particular contract need to be signed with the publisher for this use case?
In Europe and in more and more legislations, a data sharing agreement is required between the advertiser and the publisher that deploys a clean room for remarketing.
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
Exclusion targeting
Suppress existing customers from a campaign without handing over the full customer list
