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

‘There’s nothing wrong with being a heritage brand’: How Revlon is updating its image by looking to the past

Revlon named musician and actress Teyana Taylor and country music star Megan Moroney as the faces of its “Revlon Be Unforgettable” campaign.

Inside agency OK Future’s AI ‘pressure cooker’ experiment with Goodwipes

OK Future cut Goodwipes’ AI spoof from six weeks to four days, exposing big savings and burnout risks.

From influencers to AI, here’s what Gen Alpha thinks about your brand

The Gen Alpha cohort now influences nearly half of total U.S. household spending in families with children ages 8-14.