1:06Ep 10: PAIR and clean rooms
A cookware brand wanted its customers on a recipe site.
Lesson notes
A cookware brand wanted its customers on a recipe site.
PAIR is an IAB Tech Lab standard for matching two email lists while both stay encrypted.
It runs in a clean room, a secure space where two companies’ data meets under strict rules. Recipes.example has, say, two hundred thousand subscriber emails. The brand has fifty thousand customers. Each list is hashed and locked with its owner’s secret key, then the other side’s key is added. The maths is commutative, so lock order doesn’t matter, and double-locked emails match without anyone seeing an address. Say eight thousand match. The publisher gets an encrypted ID for every reader, never learning who matched. The brand’s DSP gets only the eight thousand. When one visits, her ID rides in the bid request, and the DSP bids.
Today, count your logged-in and newsletter readers. That’s the audience PAIR can work with.
Next series… Season six, video, CTV and apps.
Go deeper · 4 min readUnlocking the Power of Data Clean Rooms for Secure CollaborationUp next in this series
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1:08Ep 2: TCF v2.3 and disclosedVendorsEp 2: TCF v2.3 and disclosedVendors
1:14Ep 3: No Google-certified CMP? No personalized adsEp 3: No Google-certified CMP? No personalized ads
1:11Ep 4: US privacy: GPP replaced the US Privacy stringEp 4: US privacy: GPP replaced the US Privacy string
1:09Ep 5: GPC: the browser’s opt-out signalEp 5: GPC: the browser’s opt-out signal
1:13Ep 6: Privacy Sandbox post-mortemEp 6: Privacy Sandbox post-mortem
1:10Ep 7: Universal IDs: UID2, ID5, SharedIDEp 7: Universal IDs: UID2, ID5, SharedID
1:16Ep 8: Prebid identity modules in plain languageEp 8: Prebid identity modules in plain language
1:08Ep 9: Contextual targeting without IDsEp 9: Contextual targeting without IDs