Mobile Gaming Use Cases/Data ScienceData Scientist

Does our privacy-compliant probabilistic attribution model achieve accuracy within 15% of deterministic attribution for the top 5 UA channels measured by SKAN?

Evaluate whether privacy-preserving attribution methods provide sufficient accuracy for UA optimization decisions in the post-IDFA environment

Metrics & KPIs

Attribution accuracy gapchannel-level ROAS comparisonconfidence intervalsmisattribution rate

Required Data

SKAN postbacksprobabilistic attribution datadeterministic attribution baselineUA channel spendconversion data

Data Sources

MMPData WarehouseAd Platform

Works with tools like

AppsFlyerAdjustSingularBranchKochavaSnowflakeBigQueryRedshiftDatabricksClickHouseMeta AdsGoogle AdsTikTok AdsUnity AdsLiftoff

How Bruin answers this

Bruin

Bruin AI Data Analyst

Does our privacy-compliant probabilistic attribution model achieve accuracy within 15% of deterministic attribution for the top 5 UA channels measured by SKAN?

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

It tracks Attribution accuracy gap, channel-level ROAS comparison, confidence intervals and delivers the answer in seconds, in Slack, Discord, Teams, Google Chat, WhatsApp, Telegram, email, or your browser.

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