Supermetrics for BigQuery
Connect HubSpot to BigQuery — CRM Analytics at Warehouse Scale
Warehouse your HubSpot contacts, deals, and campaigns in BigQuery. Join CRM pipeline data with ad spend and web analytics for full-funnel revenue attribution.
Why Connect HubSpot to BigQuery?
Warehouse your HubSpot data in BigQuery for unlimited historical analysis and cross-source SQL.
- JOIN HubSpot deals with Google Ads, LinkedIn Ads, and GA4 data already in your BigQuery project. Serverless execution means zero infrastructure — just write a SQL query to calculate cost per closed deal across every channel.
- Train a classification model on deal properties using BigQuery ML to predict close probability by lifecycle stage, source, and owner — all in SQL, results feed directly into Looker dashboards.
- HubSpot data in BigQuery connects natively to Looker, Looker Studio, Vertex AI, and Google Sheets. Build a pipeline dashboard in Looker Studio that updates automatically as new HubSpot data arrives.
How to Connect HubSpot 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.
HubSpot Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your HubSpot data looks like in BigQuery.
Data Freshness & Scheduling
HubSpot data typically available within 2-4 hours. Daily transfers recommended.
What HubSpot Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full HubSpot reporting data — metrics and dimensions you already know from the HubSpot interface.
Key Metrics
- Contacts created
- Deals created
- Deal amount
- Deal close rate
- Closed won deals
- Amount won
- Email open rate
- Email click rate
- Form submissions
- Page views
- Sessions
- MQLs
- SQLs
- Customer count
Key Dimensions
- Deal stage
- Deal pipeline
- Contact lifecycle stage
- Contact source
- Company name
- Company industry
- Owner
- Campaign
- Email name
- Form name
- Landing page
- Lead status
Resources & Guides
Marketing data warehousing 101
Build vs. buy: data pipeline decisions
Supermetrics is Google Cloud Ready — BigQuery
Supermetrics + HubSpot integration
FIFCO: saved $70k + 160 hrs/month
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 HubSpot records are transferred on each run — efficient, cost-effective, and fast. Full historical backfill available on demand.
Enterprise-Grade Security
SOC 2 Type II certified. GDPR and CCPA compliant. OAuth authentication with encrypted credentials. Regional data hosting available. Your data is protected end-to-end.
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 HubSpot data as you need without worrying about cost spikes.
Complete Data Access
Pull every contact, deal, campaign, and custom property from HubSpot. No field restrictions, no record limits — your complete dataset, ready for analysis.
Frequently Asked Questions
- Log into the Supermetrics Hub, create a new data transfer, select HubSpot as the source and BigQuery as the destination. Authorize your HubSpot 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.
- Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All HubSpot credentials are encrypted at rest and in transit. Data flows directly from the HubSpot 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.
- That is one of the biggest advantages of warehousing your data. Once HubSpot 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.
- All standard HubSpot reporting fields are available, including Contacts created, Deals created, Deal amount, Deal close rate, Closed won deals, Amount won, 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.
- 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.
- Marketing Hub, Sales Hub, and CRM data — including contacts, companies, deals, email marketing, forms, and landing pages.
- Yes. HubSpot custom properties for contacts, companies, and deals are available as dimensions in BigQuery.
Also Connect to BigQuery
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