Skip to content
ATDbbeta
Brief
Google Ads Data Hub

Google Ads Data Hub

AdTechProduct· part of Googleadsdatahub.google.com

Google Ads Data Hub is a cloud-based data clean room built on Google Cloud that enables advertisers, agencies, and measurement partners to securely analyze event-level advertising data.

Last updated Oct 11, 2026 by ATDb automated enrichment · Connections updated Oct 12, 2026

Founded
2018
HQ
Mountain View, California, United States
Parent
Google
Connections
33

AI-drafted from public sources8 sources cited

At a glance

Employees
10001+
Stock
GOOGL
25integrations6competitors1corporate family
Data & AnalyticsAttribution & AnalyticsVerification & Measurement

About

Google's proprietary data clean room solution, tightly integrated with its ad platforms and BigQuery, serving enterprise advertisers and agencies seeking privacy-safe campaign measurement

Google Ads Data Hub is a cloud-based data clean room built on Google Cloud that enables advertisers, agencies, and measurement partners to securely analyze event-level advertising data. It allows marketing organizations to combine Google ad exposure data from platforms such as Google Ads, DV360, CM360, and YouTube with their own first-party data — including CRM records and offline conversions — without compromising user privacy. Rather than exporting raw logs, Google Ads Data Hub follows a "query-in, aggregate-out" model, meaning SQL queries are run inside the platform and only privacy-compliant, aggregated results are exported to the user's BigQuery project. Google Ads Data Hub is designed to comply with GDPR and CCPA by keeping personal information private and secure. Source 1: improvado.io — Google Ads Data Hub: Privacy-First Insights & Analytics 2026 Source 2: owox.com — Google Ads Data Hub: Everything a Marketer Needs to Know

Business model

Platform (part of Google's broader advertising ecosystem)

Target market

Enterprise

What they offer

  • Ads Data Hub Clean Room

    A secure environment where SQL queries are executed against event-level Google ad data combined with advertiser first-party data, with only aggregated, privacy-compliant results exported to BigQuery.

  • BigQuery Integration

    Query results are exported directly to the advertiser's own Google BigQuery project for further analysis and reporting.

  • User-Provided Data Matching

    Allows advertisers to match their CRM or first-party data with Google ad exposure data for enhanced audience and attribution insights.

  • Custom SQL Querying

    Advertisers and partners can write custom SQL queries to perform bespoke analysis on ad event data within the privacy-safe environment.

Key features

Query-in, aggregate-out privacy modelEvent-level Google ad data access (Google Ads, DV360, CM360, YouTube)First-party data onboarding and joiningBigQuery-native results exportGDPR and CCPA compliance by designCustom SQL query supportReach and frequency analysisAttribution and conversion measurement

Use cases

Cross-channel reach and frequency analysisCustom attribution modelingAudience overlap and segmentation analysisOffline conversion measurementCRM data matching with ad exposure dataCampaign performance reporting beyond standard dashboards

Customer segments

Enterprise advertisersMedia agenciesMeasurement and analytics partnersData-driven marketing organizations

Tech & specs

Technology stack

Google Cloud PlatformBigQuerySQLGoogle Ads APIDV360CM360YouTube Ads

Security & compliance

GDPRCCPAGoogle Cloud security standardsDifferential privacy / aggregation thresholds

Deployment

Cloud

API

Yes

Explore further

3 views
On the AtlasAttribution & AnalyticsOn the Mapby country + regionOn the GraphNetwork around Google Ads Data Hub