Supermetrics for BigQuery
Connect CallRail to BigQuery — Call Attribution at Warehouse Scale
Move your CallRail phone call and form submission data into BigQuery. Attribute calls to marketing sources, analyze lead quality by keyword, and join with ad spend for true cost per phone lead.
Why Connect CallRail to BigQuery?
Warehouse your CallRail data in BigQuery for unlimited historical analysis and cross-source SQL.
Call-to-revenue attribution
JOIN CallRail lead data with CRM deals and ad spend for true cost per phone-sourced customer.
Keyword-level call tracking
Track which keywords drive phone calls and compare call lead quality by campaign.
Missed call analysis
Analyze missed call patterns by time, source, and tracking number to optimize staffing.
How to Connect CallRail 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.
CallRail Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your CallRail data looks like in BigQuery.
Data Freshness & Scheduling
CallRail data typically available within 2-4 hours. Daily transfers recommended.
What CallRail Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full CallRail reporting data — metrics and dimensions you already know from the CallRail interface.
Key Metrics
- Calls
- Answered calls
- Missed calls
- First time callers
- Answer rate
- Avg. call duration (sec)
- Form submissions
- Leads
- Lead rate
- Total value
- Average value
Key Dimensions
- Source name
- Medium
- Campaign
- Keywords
- Landing page URL
- Tracking phone number
- Customer city
- Customer state
- Tags
- Lead status
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 CallRail 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 CallRail data as you need without worrying about cost spikes.
Unsampled Data
Get your complete CallRail dataset without sampling. Every session, every keyword, every page — full-fidelity data for accurate analysis.
Frequently Asked Questions
How do I connect CallRail to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select CallRail as the source and BigQuery as the destination. Authorize your CallRail 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 CallRail data secure when transferring to BigQuery?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All CallRail credentials are encrypted at rest and in transit. Data flows directly from the CallRail 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 CallRail data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once CallRail 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 CallRail metrics and dimensions are available in BigQuery?
All standard CallRail reporting fields are available, including Calls, Answered calls, Missed calls, First time callers, Answer rate, Avg. call duration (sec), 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 CallRail 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 form submission data?
Yes. Both phone calls and form submissions from CallRail are available.
Can I attribute calls to keywords?
Yes. Keywords, campaigns, and landing pages are available as dimensions for call attribution.
Also Connect to BigQuery
Ready to Connect CallRail to BigQuery?
Join 200,000+ companies that use Supermetrics to connect their marketing data. Set up in under two minutes.