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Integrate your Google BigQuery Data Warehouse with Mailchimp
Don't go through the pain of direct integration. RudderStack’s Reverse ETL connection makes it easy to send data from your Google BigQuery Data Warehouse to Mailchimp and all of your other cloud tools.
Easy Google BigQuery to Mailchimp integration with RudderStack
RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your your Google BigQuery Data Warehouse to track event data and automatically send it to Mailchimp. With the RudderStack Reverse ETL connection, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.
Popular ways to use Mailchimp and RudderStack
Create leads automatically
Automatically create customer records in real time in Mailchimp when someone signs up.
Trigger campaigns
Enable your marketing team to trigger email, SMS, mobile, and personalization campaigns based on user actions.
Easily update user traits
Provide your marketing team with advanced segmentation capabilities by updating user traits in real time.
Frequently Asked Questions
How do you integrate your Google BigQuery data warehouse with Mailchimp?
With Rudderstack, integration between Google BigQuery source and Mailchimp is simple. Set up a Google BigQuery source source and start sending data.
Is it expensive to integrate Google BigQuery source with Mailchimp?
Pricing Google BigQuery source and Mailchimp can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.
How long does it take to integrate Google BigQuery source with Mailchimp?
Timing can vary based on your tech stack and the complexity of your data needs for Google BigQuery source and Mailchimp.
Is it possible to send integrate Google BigQuery with Mailchimp without using RudderStack?
Yes, RudderStack streamlines the integration and management of your connection between Google BigQuery & Mailchimp, but you check out our guide on How to Access and Query Your Google BigQuery Data Using Python and R to learn how to connect the tools manually.
About Mailchimp
Mailchimp is a popular email marketing automation platform used worldwide by thousands of businesses. Built specially for eCommerce and retail, Mailchimp allows you to build your audience and send them personalized campaign and marketing messages through web or mobile.
Instrumenting Mailchimp directly in your python / django app can create annoying dependencies (like import mailchimp) and additional python scripts and client libraries that you have to manage long-term and that’s assuming there aren’t changes to the Mailchimp marketing API, which is highly likely. In addition to creating new subscribers, you’ll inevitably need to send events when people unsubscribe, handle abuse_reports, pull email campaign data and figure out how to deal with annoying character limits of mailchimp.com’s merge_fields. Managing that kind of direct integration can make a manual CSV upload sound nice.
RudderStack makes the implementation process extremely simple: when you run the RudderStack Python SDK, we send all of the relevant data directly to Mailchimp in JSON format. All you need to do is authenticate your Mailchimp account in RudderStack and you’ll be easily creating list_members and sending Mailchimp emails based on rich data.
About Google BigQuery
Google BigQuery is a fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time. It is serverless, highly scalable, and cost-effective and is designed for businesses to analyze massive datasets and make informed business decisions. Google BigQuery also allows running complex analytical SQL-based queries using built-in machine learning capabilities.
