Mobile Gaming Use Cases/MarketingUA Manager

What percentage of our Android UA spend can be accurately attributed under Privacy Sandbox Topics API, and how does attribution accuracy compare to pre-sandbox GAID methods?

Assess UA measurement readiness for Google Privacy Sandbox by comparing attribution accuracy between legacy and new privacy-preserving methods

Metrics & KPIs

Attribution match rateROAS accuracy deltaspend coverage %unattributed install rate

Required Data

Attribution data from both methodsUA spendinstall attributionROAS comparisonAPI coverage data

Data Sources

MMPAd PlatformData Warehouse

Works with tools like

AppsFlyerAdjustSingularBranchKochavaMeta AdsGoogle AdsTikTok AdsUnity AdsLiftoffSnowflakeBigQueryRedshiftDatabricksClickHouse

How Bruin answers this

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Bruin AI Data Analyst

What percentage of our Android UA spend can be accurately attributed under Privacy Sandbox Topics API, and how does attribution accuracy compare to pre-sandbox GAID methods?

Bruin connects to your MMP, Ad Platform, Data Warehouse and runs the analysis automatically.

It tracks Attribution match rate, ROAS accuracy delta, spend coverage % and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.

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Use cases across every team in your studio, from monetisation to LiveOps, product to engineering. One AI that speaks your data.

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