Supermetrics for BigQuery
Connect Mailchimp to BigQuery — Email Analytics at Warehouse Scale
Warehouse your Mailchimp campaign data in BigQuery. Analyze open rates, click rates, and revenue attribution across campaigns and automations with SQL.
Why Connect Mailchimp to BigQuery?
Warehouse your Mailchimp data in BigQuery for unlimited historical analysis and cross-source SQL.
Subject line analysis
Analyze open rate correlations with subject line patterns, lengths, and personalization across your entire history.
Revenue attribution
JOIN Mailchimp e-commerce revenue with ad spend data to measure email ROI alongside paid channels.
List health monitoring
Track subscriber growth, unsubscribes, and bounce rates over time for deliverability optimization.
How to Connect Mailchimp 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.
Mailchimp Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your Mailchimp data looks like in BigQuery.
Data Freshness & Scheduling
Mailchimp data typically available within 2-4 hours. Daily transfers recommended.
What Mailchimp Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full Mailchimp reporting data — metrics and dimensions you already know from the Mailchimp interface.
Key Metrics
- Emails sent
- Open rate
- Click rate
- Bounce rate
- Unsubscribe rate
- Unique opens
- Unique clicks
- Total opens
- Revenue
- Orders
- Spam complaints
- Forwards
- Delivery rate
Key Dimensions
- Campaign name
- Campaign type
- Subject line
- Send date
- List name
- Automation name
- Email client
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 Mailchimp 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 Mailchimp data as you need without worrying about cost spikes.
Complete Data Access
Pull every contact, deal, campaign, and custom property from Mailchimp. No field restrictions, no record limits — your complete dataset, ready for analysis.
Frequently Asked Questions
How do I connect Mailchimp to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select Mailchimp as the source and BigQuery as the destination. Authorize your Mailchimp 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 Mailchimp data secure when transferring to BigQuery?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All Mailchimp credentials are encrypted at rest and in transit. Data flows directly from the Mailchimp 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 Mailchimp data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once Mailchimp 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 Mailchimp metrics and dimensions are available in BigQuery?
All standard Mailchimp reporting fields are available, including Emails sent, Open rate, Click rate, Bounce rate, Unsubscribe rate, Unique opens, 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 Mailchimp 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 automation data?
Yes. Both one-time campaigns and automated email sequences are available with per-email metrics.
Can I track e-commerce revenue?
Yes. Revenue and order data attributed to email campaigns are available when Mailchimp is connected to your e-commerce platform.
Also Connect to BigQuery
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