Supermetrics for BigQuery
Connect Google AdSense to BigQuery — Publisher Revenue at Warehouse Scale
Warehouse your Google AdSense earnings, impressions, and RPM data in BigQuery for publisher revenue optimization and cross-property analysis.
Why Connect Google AdSense to BigQuery?
Warehouse your AdSense data in BigQuery for unlimited historical analysis and cross-source SQL.
Cross-property RPM comparison
Compare RPM and earnings across domains, ad units, and countries to optimize ad placements.
Revenue trend analysis
Track earnings trends over unlimited date ranges to spot seasonality and revenue dips early.
Content monetization insights
JOIN AdSense data with GA4 pageviews to calculate revenue per article or content category.
How to Connect Google AdSense to BigQuery
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and BigQuery as your destination.
- 2
Authorize and configure
Connect your data source account, choose your BigQuery project and dataset, and select the data you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your data begins flowing into BigQuery automatically.
Google AdSense Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your AdSense data looks like in BigQuery.
Data Freshness & Scheduling
AdSense data typically available within 12-24 hours. Daily transfers recommended.
What Google AdSense Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full AdSense reporting data — metrics and dimensions you already know from the AdSense interface.
Key Metrics
- Estimated earnings
- Ad impressions
- Ad clicks
- Ad impressions CTR (%)
- Ad impressions RPM
- Page views
- Page views RPM
- CPC
- Ad requests
- Ad requests coverage
- Matched ad request RPM
Key Dimensions
- Domain name
- Unit name
- Unit size name
- Country name
- Platform type name
- Product name
- Channel name
- Bid type
- Format name
Resources & Guides
Why Supermetrics for BigQuery?
Purpose-built for marketing data since 2009. 200,000+ companies trust Supermetrics to move 15% of global ad spend into reporting and analytics destinations.
No Vendor Lock-In
Your data lands in BigQuery — infrastructure you own and control. Use any BI tool, any transformation layer, any ML platform. If you ever switch providers, your data and dashboards stay with you.
170+ Marketing Data Sources
Purpose-built for marketing data — not a generic ETL tool. Supermetrics covers 99% of metrics and dimensions from each source, with pre-structured tables ready for analysis. No transformation layer required.
Managed Schema
Supermetrics creates and maintains your Google AdSense tables automatically. Schema changes from the source API are handled for you — no broken pipelines, no manual migrations.
Your Data, Your Infrastructure
Supermetrics moves data directly to your destination — nothing is stored on our servers. SOC 2 Type II certified, GDPR and CCPA compliant. Your data stays in infrastructure you control, simplifying privacy and compliance reviews.
Flat-Rate, Predictable Pricing
Fixed annual pricing regardless of data volume — no per-row charges, no surprise bills during peak campaign seasons. Transfer as much Google AdSense data as you need without worrying about cost spikes.
No Data Limits
Query any date range, any number of campaigns, any level of granularity. No row limits, no sampling, no restrictions on the data you can pull.
Frequently Asked Questions
How do I connect Google AdSense to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select Google AdSense as the source and BigQuery as the destination. Authorize your Google AdSense account, choose your BigQuery project and dataset, pick the fields you want, set a schedule, and start the transfer. No code or SQL knowledge required — Supermetrics creates and manages the tables automatically.
Is my Google AdSense data secure when transferring to BigQuery?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Google AdSense credentials are encrypted at rest and in transit. Data flows directly from the Google AdSense API to your own BigQuery project — Supermetrics does not store your marketing data on its servers. Your BigQuery IAM policies control who can access the tables.
Can I combine Google AdSense data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once Google AdSense lands in BigQuery, you can JOIN it with any other table — GA4 sessions, CRM deals, revenue data, other ad platforms — using standard SQL. Supermetrics supports 170+ data sources, and they all land in the same BigQuery project for easy cross-source analysis.
What Google AdSense metrics and dimensions are available in BigQuery?
All standard Google AdSense reporting fields are available, including Estimated earnings, Ad impressions, Ad clicks, Ad impressions CTR (%), Ad impressions RPM, Page views, and many more. You select exactly which metrics and dimensions to transfer during setup, and you can add or remove fields at any time without losing historical data.
How fresh is Google AdSense data in BigQuery?
Data freshness depends on your transfer schedule. You can run transfers hourly, daily, or weekly. Most users schedule daily transfers so yesterday's complete data is ready each morning. Supermetrics uses incremental loading — only new and updated records are transferred — so even large accounts refresh quickly.
Can I analyze by ad unit?
Yes. Ad unit name, size, and format are available as dimensions for placement-level analysis.
Does it include page-level RPM?
Yes. Both ad impression RPM and page views RPM are available as metrics.
Also Connect to BigQuery
Ready to Connect Google AdSense to BigQuery?
Join 200,000+ companies that use Supermetrics to connect their marketing data. Set up in under two minutes.