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
The Rundown: Average CMO tenure has shrunk by over a third in 16 years
Client-side turnover is increasing, according to a survey of 13,000 U.S. marketing professionals, and marketers are spending less time in post.
Behind Hoka’s bid to own the NYC marathon’s run-up period
Hoka’s been targeting runners training for the New York City marathon with the aim of creating more shoe evangelists.
Ad Tech Briefing: AI is changing programmatic buying faster than who controls it
As more decisions become automated, the value of a control depends on whether publishers can see its effects.