We should note that Google tested this approach

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It remains to be seen whether they will take further action, and they will hope that Google continues to take steps to reduce intrusive tracking. As part of its July announcement, Google announced a "privacy sandbox" that uses federated learning to aggregate and anonymize data from across devices. Private data will remain on the device, but the algorithm will still be able to learn from patterns in different groups. Source Google Under the proposal, advertisers would not be able to target individual users as they can now through remarketing.

Instead, they target groups that exhibit behaviors that show interest in their algeria number dataset products or services. In early testing, Google reports that advertisers can expect “at least a 95% conversion rate per dollar spent compared to cookie-based ads.”  for cookies in this experiment only against in-market and affinity audiences. But as a first step, this should be encouraging for advertisers.

While some form of third-party tracking will be available in the short term, advertisers should expect to see further experimentation in this area and new solutions entering the market. Facebook, which retains an enviable amount of first-party user data, is also testing new ways to replace its retargeting methods. Early leaders are built on "aggregated event measurement," similar to the principles behind Google's queue-based federated learning. We should also expect to see retailers like Amazon and Walmart profit as they can build advertising products within their “walled gardens” of first-party data.