Generate a summary report with aggregate reporting
Summary reports are a powerful tool for examining your data from Attribution Reporting and Private Aggregation. This pathway will take you through the key concepts and tooling needed to enable you to build effective reports.
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6 działania
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Introduction to summary reports
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Learn the key concepts to work with summary reports and design your data collection.
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Contribution budget for summary reports
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Article
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Learn about the role of the contribution budget for Attribution Reporting summary reports and how to allocate it to capture the data you need.
Learn how to use Noise Lab, a tool that helps grasp the effects of various noise parameters, and that enables quick exploration and assessment of various noise management strategies.
[null,null,[],[[["Attribution Reporting uses a contribution budget to protect user privacy by limiting the value associated with a single ad interaction."],["The contribution budget is a hard cap (currently 65,536), meaning no further data is recorded once it's reached, potentially impacting reporting if exceeded."],["To maximize data capture, carefully allocate the contribution budget across different metrics being tracked for a source event."],["Adjust and scale aggregatable values to the contribution budget to enhance signal quality and mitigate noise in the summary reports."],["Experiment with the API and engage with resources to optimize its use and provide feedback for further development."]]],["Summary reports receive added noise, a random data amount, during processing to protect user privacy and enable differentially private measurement. This noise, drawn from a Laplace distribution, is applied once per key and is the same regardless of the summary value. The impact of noise is less significant on higher summary values. To mitigate noise impact, configure API usage for confident data-driven decisions and manage noise to remain below a certain percentage of the collected metric.\n"]]
