"To address the business requirements, Fifty5Blue turned to AWS Clean Rooms to enable private set intersection (PSI), allowing Fifty5Blue to collaborate with publishers on their collective datasets-all without sharing or copying one another's underlying data. Additionally, through careful configuration of Amazon Simple Storage Service (Amazon S3) bucket policies and AWS Key Management Service (AWS KMS), the implementation creates an audit trail accessible to third-party auditors while maintaining data privacy."
"Fifty5Blue needed to keep user membership in the media panel private from media publishers but at the same time receive impression logs from media publishers for the panelists. Fifty5Blue requested impression logs only for their private media panelists who had explicitly consented to Fifty5Blue for data sharing."
Fifty5Blue developed a Virtual People Model for cross-media advertising measurement by collaborating with media publishers through AWS Clean Rooms technology. The solution addresses two critical requirements: maintaining panelist privacy from publishers while receiving impression logs, and accessing data only from consented panelists. AWS Clean Rooms enables private set intersection, allowing Fifty5Blue and publishers to collaborate on datasets without sharing underlying data. The implementation uses Amazon S3 bucket policies and AWS Key Management Service to create audit trails for third-party auditors while preserving data privacy. Fifty5Blue piloted this approach with Meta to validate the cross-media measurement capability.
#cross-media-measurement #data-privacy #aws-clean-rooms #private-set-intersection #digital-advertising
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