Supermetrics for BigQuery
Connect YouTube to BigQuery — Video Analytics at Warehouse Scale
Warehouse your YouTube channel data in BigQuery. Analyze watch time, retention, subscriber growth, and revenue trends with SQL over unlimited time ranges.
Why Connect YouTube to BigQuery?
Warehouse your YouTube data in BigQuery for unlimited historical analysis and cross-source SQL.
Watch time analysis
Track average view duration and percentage viewed across your entire video library to identify evergreen content.
Subscriber growth modeling
Correlate subscriber spikes with specific videos using SQL joins on dates and video IDs.
Revenue optimization
Analyze RPM and CPM trends by video topic, traffic source, and audience to maximize ad revenue.
How to Connect YouTube 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.
YouTube Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your YouTube data looks like in BigQuery.
Data Freshness & Scheduling
YouTube data typically available within 24-48 hours due to YouTube API delays. Daily transfers recommended.
What YouTube Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full YouTube reporting data — metrics and dimensions you already know from the YouTube interface.
Key Metrics
- Views
- Watch time (minutes)
- Subscribers gained
- Subscribers lost
- Likes
- Comments
- Shares
- Average view duration
- Average percentage viewed
- Estimated revenue
- Playback-based CPM
- Card clicks
Key Dimensions
- Video title
- Video ID
- Published date
- Traffic source
- Device type
- Country
- Content type
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.
Incremental Loading
Only new and updated YouTube records are transferred on each run — efficient, cost-effective, and fast. Full historical backfill available on demand.
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 YouTube data as you need without worrying about cost spikes.
Historical Depth
Access your full YouTube history — months or years of engagement data, follower growth, and content performance. No artificial date range restrictions.
Frequently Asked Questions
How do I connect YouTube to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select YouTube as the source and BigQuery as the destination. Authorize your YouTube 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 YouTube data secure when transferring to BigQuery?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All YouTube credentials are encrypted at rest and in transit. Data flows directly from the YouTube 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 YouTube data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once YouTube 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 YouTube metrics and dimensions are available in BigQuery?
All standard YouTube reporting fields are available, including Views, Watch time (minutes), Subscribers gained, Subscribers lost, Likes, Comments, 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 YouTube 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.
Does it include Shorts data?
Yes. YouTube Shorts data is included and can be filtered by content type.
Can I analyze ad revenue?
Yes. Estimated revenue, RPM, and CPM are available for monetized channels.
Also Connect to BigQuery
Ready to Connect YouTube to BigQuery?
Join 200,000+ companies that use Supermetrics to connect their marketing data. Set up in under two minutes.