Recent feedback (meeting notes) indicates that even the new modest report delays for aggregatable reports are not ideal, and we should explore the instant-style approaches outlined in https://github.com/WICG/attribution-reporting-api/blob/main/report_verification.md#could-we-just-tag-reports-with-a-trigger_id-instead-of-using-anonymous-tokens. Here is what a privacy neutral enhancement to the API could look like that enables this use-case:

Trigger registration could come along with an optional top-level parameter that ad techs can set: trigger_event_id¹. If this parameter is set, a few things happen:

• Aggregatable reports will be generated for this registration unconditionally, even if it was not preceded by a source event. In that case any generated report will act like the existing null aggregatable reports i.e. they will not affect any aggregate computation.
• Aggregatable reports associated with this registration will be delivered immediately after the browser receives the registration.
• Aggregatable reports associated with this registration will come bearing a new piece of cleartext information in its body which passes the trigger_event_id.

By default this will result in a single report per registration. However, if aggregatable_source_registration_time is ”include”, it will require generating 30 reports for every trigger registration. Given that 30 reports is non-ideal from a system health perspective, we may want to consider disallowing this combination, and only support instant reports if the aggregatable_source_registration_time is “exclude” (feedback welcome though!). The purpose of these “unconditional” reports is to ensure that the output of the trigger registration does not leak any cross-site information (i.e. whether the user had previously seen an ad or not).

cc @thegreatfatzby , @bmayd, and @dmdabbs who voiced support for reducing delays all the way to 0 in our Aug 21 call, especially in relation to CPA-based billing.

Note: this proposal may greatly increase (up to 20x²) the number of reports you receive and need to query the aggregation service with, which can impact aggregation query latency. Here is a derivation to find out how it will impact you:

• Let true_rate be the fraction of registrations that lead to a true report (i.e. have a previous matching source)
• With no noise, the number of reports is true_rate * num_triggers
• Currently, with the 5% flip probability the number of reports is ((1 - true_rate) * .05 + true_rate) * num_triggers = (.95 * true_rate + .05) * num_triggers
• With this proposal, the number of reports is num_triggers. Thus, adopting this proposal would result in (1 / (.95 * true_rate + .05)) times more total reports than the status quo (note that this smoothly interpolates between 0x and 20x at the extremes).

Note with true_rate = .2, this gives you ~4x times more total reports than the status quo.