Supermetrics for BigQuery
Connect Salesforce to BigQuery — CRM Pipeline at Warehouse Scale
Move your Salesforce opportunities, accounts, and leads into BigQuery. Build custom attribution models by joining CRM pipeline data with ad spend and web analytics.
Why Connect Salesforce to BigQuery?
Warehouse your Salesforce data in BigQuery for unlimited historical analysis and cross-source SQL.
- JOIN Salesforce closed-won deals with Google Ads, LinkedIn Ads, and GA4 data in the same BigQuery project. Serverless means no cluster provisioning — just write SQL and calculate cost per customer across every channel.
- Train a time-series forecasting model on Salesforce pipeline data using BigQuery ML. Predict quarterly bookings by stage, source, and owner — all in SQL, results feed directly into Looker dashboards.
- Salesforce data in BigQuery connects natively to Looker, Vertex AI, and Google Sheets. Build a governed, LookML-modeled pipeline dashboard that updates automatically as new opportunity data arrives.
How to Connect Salesforce 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.
Salesforce Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Salesforce data looks like in BigQuery.
Data Freshness & Scheduling
Salesforce data typically available within 2-4 hours. Daily transfers recommended.
What Salesforce Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full Salesforce reporting data — metrics and dimensions you already know from the Salesforce interface.
Key Metrics
- Opportunity count
- Amount won
- Hit rate
- Average amount per opportunity
- Age (days)
- Leads count
- Amount
- Expected revenue
- Probability
Key Dimensions
- Opportunity stage
- Account name
- Account industry
- Owner
- Lead source
- Product name
- Close date
- Campaign name
- Case type
- Case priority
Resources & Guides
Marketing data warehousing 101
Build vs. buy: data pipeline decisions
Supermetrics is Google Cloud Ready — BigQuery
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 Salesforce 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 Salesforce data as you need without worrying about cost spikes.
Complete Data Access
Pull every contact, deal, campaign, and custom property from Salesforce. 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 Salesforce as the source and BigQuery as the destination. Authorize your Salesforce 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 Salesforce credentials are encrypted at rest and in transit. Data flows directly from the Salesforce 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 Salesforce 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 Salesforce reporting fields are available, including Opportunity count, Amount won, Hit rate, Average amount per opportunity, Age (days), Leads count, 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.
- Opportunities, Accounts, Contacts, Leads, Campaigns, Cases, and Tasks. Custom objects may also be available.
- Yes. Custom fields on standard objects are available as dimensions in BigQuery.
Also Connect to BigQuery
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