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Reading through the privacy considerations section, the requirements there align a lot with the characteristics of the fenced frames proposal. This section in particular talks about how fenced frames could be used for lift studies. To summarize the solution, there are two steps: 1) An isolated JS environment (whose explainer will be published soon) that invokes the lift studies API and returns an opaque output, and 2) The fenced frame (an embedded document that cannot communicate with the publisher page) renders the ad represented by the opaque output from 1).
It would be great to know your thoughts on using fenced frames for this API.
The text was updated successfully, but these errors were encountered:
Reading through the privacy considerations section, the requirements there align a lot with the characteristics of the fenced frames proposal. This section in particular talks about how fenced frames could be used for lift studies. To summarize the solution, there are two steps: 1) An isolated JS environment (whose explainer will be published soon) that invokes the lift studies API and returns an opaque output, and 2) The fenced frame (an embedded document that cannot communicate with the publisher page) renders the ad represented by the opaque output from 1).
It would be great to know your thoughts on using fenced frames for this API.
The text was updated successfully, but these errors were encountered: