Attribution Reporting uses a combination of techniques to measure conversions while protecting user privacy:
- On-device measurement: Much of the measurement process happens directly on the user's device, limiting the amount of data shared with third parties.
- Aggregation and anonymization: Attribution Reporting aggregates and anonymizes data to prevent the identification of individual users.
- Limited data sharing: Only the necessary information is shared between the browser, ad tech platforms, and advertisers.
- Noise: Attribution Reporting uses noise, a privacy-preserving technique that adds random variations to the data to prevent the identification of individual users.
Learn more about how the Attribution Reporting API helps protect privacy in the developer documentation.