for the Digiday Programmatic Marketing Summit, May 6-8 in Palm Springs.
WTF are the ID-based vs. model-based approaches to data clean rooms?
This article is a WTF explainer, in which we break down media and marketing’s most confusing terms. More from the series →
First-party data is like a secret sauce for advertisers, media companies and tech platforms. And with ad buyers and sellers increasingly planning to transact against their first-party data sets, they have to figure out to what extent they may or may not need to share that secret sauce with others.
ID-based matching has been the primary way that companies have used clean rooms to make their data available to others. But not all companies are comfortable with this approach.
Enter the model-based approach. Considered by agency executives to be the next generation of clean room strategies, the model-based approach offers a different way for companies to share their first-party data recipes without allowing companies to connect to the underlying data, as Essence Global’s Therran Oliphant, Permutive’s Lauren Tiley and Publicis Media’s Jess Simpson help to explain in the video above.
More in Marketing
CMOs continue their uphill climb in the eyes of their CEOs: Boathouse study
Where 68% of CMOs are seen as actively contributing to strategy and strategic decisions, only 8% are perceived as actually leading it.
Advertisers are flying blind on ChatGPT ads — Adthena wants to change that
Adthena has launched ChatGPT AdBridge — a tool which aims to turn clients’ existing Google Ads accounts into ready-to-run ChatGPT campaigns.
Marketers join OpenAI’s ad pilot, nudged by FOMO
Weeks into the offering going live, it’s unclear if the tech company’s ad platform offers real value to marketers.