Hi everyone,
We've published a new guide to help you experiment with the Attribution Reporting API:
Strategies and tips for summary reports.
It outlines how to evaluate and adopt various approaches to handle signal-to-noise ratios and how to set aggregation keys and values. It also includes an implementation example for aggregatable/summary reports.
Your questions and feedback are most welcome! Places to share your feedback are referenced in the guide.
Before you dive into this guide, you may want to check out Attribution Reporting: summary reports and Attribution Reporting: what you should know for a refresher.
As a reminder, this guide and others experimentation guides are listed here.