Fears of Big Tech bias underpin debates around W3C’s Attribution API

In a relatively obscure industry standards body, the World Wide Web Consortium, Big Tech players, including Apple, Google, Meta, and Mozilla, are making inroads to introduce a new ad attribution tool to the industry’s major web browsers

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Simply dubbed “Attribution API,” the proposals evoke memories of the Google Chrome team’s abortive Privacy Sandbox proposals, i.e., its bid to phase out third-party cookies for online ad tracking, along with the accompanying concerns about competitiveness in the wider ad tech landscape.

However, for advocates, such proposals are being discussed in open forums, with the aim of replacing the ad industry’s current opaque tracking flows with a transparent, well‑scoped API that can be explained to users and audited by privacy experts.

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Why agencies are taking a hybrid approach to synthetic audience research

Traditional research can be slow, expensive and hard to scale but agencies are increasingly testing AI-generated personas to supplement things like media planning and concept testing.

In theory, the pitch makes sense: Synthetic audiences can model real consumer behavior, pressure-test ideas and uncover insights without the long wait times that come with human focus groups. In reality, it’s a harder sell.

Synthetic audiences are only as good as the data they’re built on. Even if a project needed to launch right away, a fully synthetic data set would only take the project 80% over the line, leaving the remaining 20% to be vetted by real humans, said Andrea Berki-Nnuji, senior vp of data analytics at Crowley Webb, an advertising, PR, and digital marketing agency that has worked with clients like Evergreen Health, Niagara University and M&T Bank.

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