Exporting Mailchimp data to BigQuery with Adzviser lets you run powerful SQL queries on your marketing data at scale and leverage Google Cloud's analytics ecosystem.
Run complex SQL queries against your Mailchimp data—aggregate, filter, join, and analyze billions of rows
Combine Mailchimp data with CRM, sales, and other marketing data in BigQuery for unified analysis
Analyze open rates, click patterns, and subscriber engagement trends over time with SQL
Keep years of Mailchimp data in BigQuery without worrying about storage limits or platform data expiration
Adzviser provides unlimited Mailchimp account connections, unlimited exports, and all destinations included. It's the most cost-effective way to build a marketing data warehouse.
Set up scheduled exports to BigQuery and never worry about manual data pulls again. Your Mailchimp data stays current automatically.
Pull months of past Mailchimp data into BigQuery in one go, not just from the day you connect.
Your data lives in your own Google Cloud project. No vendor lock-in, no data limits—complete control over your Mailchimp data.
Get enterprise-quality data export pipelines at a fraction of the cost of traditional ETL tools. Get started for as low as $0.99. See pricing →
Set up your Mailchimp to Google BigQuery integration in minutes with Adzviser's no-code connector.
Create an Adzviser account or log in if you already have one. Start your 14-day trial for just $0.99 to create a new workspace.
Create a new workspace and select Mailchimp as your data source. Grant Adzviser access to securely sync your data.
Select Google BigQuery as your destination and start querying your data. View available metrics and breakdowns for Mailchimp →
Your Mailchimp data is now connected to Google BigQuery! Create reports, build dashboards, and get actionable insights instantly. Browse ready-to-use Mailchimp AI prompts →
See how data teams are using Adzviser to analyze their Mailchimp data in BigQuery.
Exporting Mailchimp data to BigQuery is simple with Adzviser. Sign up, start your $0.99 trial to create a workspace, select Mailchimp as your data source, choose BigQuery as your export destination, configure your GCP project and dataset, and set up your export schedule. No coding required. View BigQuery Setup Guide →
With Adzviser, you can export all standard Mailchimp metrics including email opens, clicks, subscribers, bounce rates, and campaign performance. Choose any combination of metrics and breakdowns to include in your BigQuery tables. View all Mailchimp metrics and breakdowns →
Yes! Adzviser supports scheduled exports so your BigQuery tables are always up-to-date with the latest Mailchimp data. Set daily, weekly, or monthly export schedules.
Adzviser offers a $0.99 14-day trial to get started. All plans include unlimited account connections, unlimited exports, and access to all destinations. BigQuery also offers generous free-tier usage for queries and storage. View pricing details →
Yes! Adzviser supports Amazon S3 as an export destination with CSV and JSON format options. If you prefer AWS for your data storage, Amazon S3 is a great alternative to BigQuery. Connect Mailchimp to Amazon S3 →
Yes! Adzviser offers a library of ready-to-use AI prompts specifically designed for Mailchimp. These prompts cover reporting, optimization, analysis, and auditing — customize them with your account name and date range, then paste into Google BigQuery. Browse Mailchimp AI prompts →
Yes! Omnisend is available as a separate data source. It provides email and SMS marketing data including campaign performance, automation workflows, subscriber engagement, and revenue attribution. Connect Omnisend to BigQuery →
Yes! ActiveCampaign is available as a separate data source. It provides email marketing and CRM data including campaign analytics, automation workflows, contact engagement scores, and deal pipeline tracking. Connect ActiveCampaign to BigQuery →
Yes! Klaviyo is available as a separate data source. It provides email and SMS marketing data including campaign performance, flow analytics, subscriber segmentation, and e-commerce revenue attribution. Connect Klaviyo to BigQuery →