Ready to start using the Attribution Reporting API? Here are some resources and best practices to guide your implementation:
For Web:
- Attribution Reporting for Web overview: Provides comprehensive information and instructions for implementing Attribution Reporting on the web.
- Attribution Reporting API GitHub repository: Contains the latest code and specifications for the API.
- Attribution Reporting W3C specs: Offers detailed technical information and standards for the API.
For Android:
- Attribution Reporting for Mobile overview: Provides specific guidance for implementing Attribution Reporting on Android devices.
Other resources:
- Cross Web and app measurement: Specialized implementation guidance measuring conversions across web and app surfaces.
- VAST specs for the Attribution Reporting API: IAB Technology Laboratory (Tech Lab) document providing guidance on implementing ARA for compatibility with Video Ad Serving Template (VAST).
Specialized guides and best practices:
- In-depth tagging guidance: Covers the detailed specifics of how to implement Attribution Reporting tagging scripts for each party in the ad tech chain.
- Best practices guide: Provides detailed information on Attribution Reporting implementation best practices.
- Batching best practices guide: Covers best practices for batching strategies for Attribution Reporting summary reports.
- How debug reports work: Explains how Attribution Reporting debug reports work and how to implement them.
- Debugging cookbook: Provides detailed guidance on the debug flow, how to interpret debug reports, and troubleshooting guidance.
- Summary reports guidance: Provides detailed documentation and guidance on how summary reports work, how noise is applied, and how to think about trade-offs with the reporting interface.
- Experiment with summary reports: Shares key learnings and best practices for making trade-offs with Attribution Reporting summary reports.
- Measurement Simulation Library: Allows you to simulate Attribution Reporting data to prepare your tech stack for production readiness.
- Noise Lab: Helps you understand how noise is applied to Attribution Reporting summary reports.