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
Future of Marketing Briefing: One more helping, for gluttons still hungry for Publicis and PepsiCo takes
Yes, more thoughts on what it means, or doesn’t, that Publicis walked away from competing for Coca-Cola’s media dollars to grab PepsiCo’s instead.
Instacart launches custom AI assistants for retailers
Retail giants like Walmart, Kroger and Amazon have launched AI assistants allowing consumers to ask for recommendations or curated shopping lists. Now, Instacart has made it easier for other retailers such as regional grocers to follow in their footsteps.
AI reshapes agency economics, but their contracts are still scrambling to catch up
AI is changing agency work. Agencies are adding provisions to existing contracts instead of rewriting their MSAs.