Supermetrics for BigQuery
Connect Google Ads to BigQuery — Search & Display Analytics at Scale
Get clean, aggregated Google Ads data in BigQuery — ready to query in seconds, not hours. Unlike the native Data Transfer Service which loads raw, non-aggregated tables requiring complex SQL transformations, Supermetrics delivers pre-structured campaign, ad group, and keyword tables you can query immediately. Lower BigQuery processing costs, faster dashboards, and no data engineering required.
Why Connect Google Ads to BigQuery?
Warehouse your Google Ads data in BigQuery for unlimited historical analysis and cross-source SQL.
Compare with GA4 native export
JOIN Supermetrics keyword data with GA4's native BigQuery export in the same project — match ad clicks to session-level analytics without cross-platform data movement.
BigQuery ML for bid optimization
Build bid prediction models directly on your keyword data using BigQuery ML. Train a regression model on historical CPA and Quality Score, then generate forecasts — all in SQL, no Python needed.
Looker-native dashboards
BigQuery is Looker's native data source. Point Looker at your Google Ads tables for governed, LookML-modeled dashboards with drill-downs from campaign to keyword to search term.
How to Connect Google Ads 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 Ads Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Google Ads data looks like in BigQuery.
Data Freshness & Scheduling
Google Ads data typically available in BigQuery within 3-6 hours. Daily transfers recommended.
What Google Ads Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full Google Ads reporting data — metrics and dimensions you already know from the Google Ads interface.
Key Metrics
- Impressions
- Clicks
- Cost
- Conversions
- Conversion value
- ROAS
- CPA
- CTR
- CPC
- Quality Score
- Impression share
- Search impression share
- Top impression rate
- Conversion rate
Key Dimensions
- Campaign name
- Ad group name
- Keyword
- Search term
- Match type
- Device
- Network
- Location
- Day of week
- Hour of day
- Ad type
- Bidding strategy
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 Ads 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 Ads 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 Ads to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select Google Ads as the source and BigQuery as the destination. Authorize your Google Ads 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 Ads data secure when transferring to BigQuery?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Google Ads credentials are encrypted at rest and in transit. Data flows directly from the Google Ads 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 Ads data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once Google Ads 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 Ads metrics and dimensions are available in BigQuery?
All standard Google Ads reporting fields are available, including Impressions, Clicks, Cost, Conversions, Conversion value, ROAS, 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 Ads 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.
How is this different from the native Google Ads Data Transfer Service?
Google's native DTS loads raw, non-aggregated data that requires complex SQL transformations before it's usable. Supermetrics delivers pre-aggregated, query-ready tables — campaign performance, keyword metrics, and ad group data in clean columns. This means lower BigQuery query costs (you scan less data) and no data engineering overhead.
Can I use both Supermetrics and the native DTS?
Yes. Many teams use Supermetrics for day-to-day reporting (faster queries, lower cost) and the native DTS for rare deep-dives into click-level data. The two approaches complement each other in the same BigQuery project.
Also Connect to BigQuery
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