Supermetrics for Snowflake
Connect YouTube to Snowflake — Video Performance at Scale
Load YouTube channel, video, and audience data into Snowflake for video content analytics.
Why Connect YouTube to Snowflake?
Warehouse your YouTube data in Snowflake for unlimited historical analysis and cross-source SQL.
Watch time trend analysis
Track watch time and subscriber growth in Snowflake for content strategy decisions.
Traffic source attribution
Analyze which traffic sources drive the most views and longest watch times.
Cross-platform video comparison
Join YouTube with TikTok and Instagram for unified video analytics.
How to Connect YouTube to Snowflake
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and Snowflake as your destination.
- 2
Authorize and configure
Connect your data source account, enter your Snowflake account identifier and warehouse details, choose your database and schema, 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 Snowflake automatically.
YouTube Data Schema in Snowflake
Supermetrics creates and maintains clean, typed tables automatically. Here's what your YouTube data looks like in Snowflake.
Data Freshness & Scheduling
YouTube data is typically available in Snowflake within 4-8 hours of the reporting period end.
What YouTube Data Can You Pull into Snowflake?
Supermetrics gives Snowflake 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
Social media report templates
Manscaped: ecommerce data warehouse
Why Supermetrics for Snowflake?
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 Snowflake — 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 Snowflake with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select YouTube as the source and Snowflake as the destination. Authorize your YouTube account, enter your Snowflake account identifier, warehouse, database, and schema details, select the fields you need, set a schedule, and start the transfer. No Snowpipe configuration or custom staging areas required — Supermetrics handles everything end to end. You can even spin up a dedicated Snowflake virtual warehouse for your marketing loads so they never compete with other workloads for compute.
Is my YouTube data secure when transferring to Snowflake?
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 into your Snowflake account — Supermetrics does not store your marketing data. Snowflake adds its own defense-in-depth: network policies restrict access by IP, role-based access control governs who can query which tables, and all data is AES-256 encrypted at rest with automatic key rotation. If something goes wrong, Snowflake Time Travel lets you restore tables to any point within your retention window.
Can I combine YouTube data with other sources in Snowflake?
That is one of the most powerful reasons to use Snowflake. Once YouTube data lands in your account, you can JOIN it with any other table — GA4 exports, CRM data, revenue tables — using standard SQL. Want to enrich your analysis further? Browse the Snowflake Marketplace for ready-to-query third-party datasets (demographics, weather, economic indicators) and combine them with your marketing data instantly — no ETL, no data movement. Supermetrics supports 170+ data sources that all land in the same Snowflake database, and Secure Data Sharing lets you publish governed datasets to partners or other business units without copying a single byte.
What YouTube metrics and dimensions are available in Snowflake?
All standard YouTube reporting fields are available, including Views, Watch time (minutes), Subscribers gained, Subscribers lost, Likes, Comments, and many more. You choose exactly which metrics and dimensions to transfer during setup, and you can modify the selection at any time without affecting historical data already loaded. Need to test a schema change? Use Snowflake's zero-copy cloning to create an instant clone of your marketing database, experiment freely, and drop the clone when you are done — no extra storage cost, no risk to production tables.
How fresh is YouTube data in Snowflake?
Data freshness depends on your transfer schedule. Supermetrics supports hourly, daily, or weekly transfers into Snowflake. Most users run daily transfers so yesterday's complete data is ready each morning. Incremental loading ensures only new and updated records are transferred, keeping warehouse credits low and load times fast. Because Snowflake separates storage from compute, you can scale your virtual warehouse up during heavy load windows and back down afterward — paying only for the seconds of compute you actually use.
Does the connector include revenue data?
Yes. Estimated revenue and playback-based CPM are available for monetized channels.
Can I track subscriber growth?
Yes. Subscribers gained and lost are captured with each sync.
Also Connect to Snowflake
Ready to Connect YouTube to Snowflake?
Join 200,000+ companies that use Supermetrics to connect their marketing data. Set up in under two minutes.