No-code pipeline · MailChimp → BigQuery

Send data from MailChimp to BigQuery

Get started for free

No credit card required | 14 days | 10 million records | 30 pipelines

or sign up with your email

By signing up, you agree to Kondado’s Terms of service and Privacy policy

From MailChimp to BigQuery: managed, scheduled, no code.

Creating a pipeline that sends data from MailChimp to BigQuery data warehouses takes only a few minutes with Kondado. And the whole integration from MailChimp to BigQuery is managed and executed by our platform. With Kondado, you can focus on extracting value from MailChimp data and combining it with other data in your BigQuery data warehouse

Connect MailChimp now →

Send MailChimp Data to BigQuery

MailChimp has evolved from a simple email alternative into a comprehensive marketing automation platform used by millions of businesses worldwide. To unlock the full potential of your campaign metrics, audience segments, and engagement data, you need to consolidate this information in a powerful analytics environment. Replicating your MailChimp data to BigQuery enables advanced analysis across large datasets without manual exports or complex scripting, allowing marketing teams to focus on strategy rather than data preparation.

Setting up this pipeline requires no coding knowledge. Simply authenticate your MailChimp account, configure your BigQuery destination, and select which data endpoints you want to replicate on a configurable schedule. Kondado handles the data extraction, transformation, and loading automatically, ensuring your marketing analytics stay current and actionable while eliminating the need for manual CSV downloads or API maintenance.

Kondado provides a direct integration between MailChimp and BigQuery that automatically replicates your email marketing metrics, including open rates, click rates, and list performance data, on a configurable schedule ranging from every 5 minutes to daily, enabling you to build custom reports and combine MailChimp insights with other business data in your data warehouse.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

Available Pipelines

The Reports pipeline captures essential email marketing metrics such as open rates, click-through rates, emails sent, active subscriber lists, and unsubscribe statistics directly into your BigQuery warehouse. Once replicated, you can join this engagement data with website analytics from Google Analytics, sales figures from your CRM, or advertising spend from Facebook Ads to calculate true customer acquisition costs and lifetime value across channels.

With 62 fields available, analysts can build custom attribution models that track subscriber journey touchpoints, segment performance by campaign type, or create automated alerts when engagement metrics drop below thresholds. This consolidated view transforms isolated email statistics into actionable business intelligence that drives segmentation strategy and revenue optimization.

Try out all the features for free for 14 days

Replicated to BigQuery

MailChimp data available for BigQuery

Tables Kondado writes into your BigQuery, on a schedule you control.

available pipeline

extractable fields

BigQuery

Destination

Available integrations

Reports

Includes metrics such as open rate, click rate, and emails sent, along with information on active lists and unsubscribe rates.

See all available data → Send MailChimp to BigQuery →

Try out all the features for free for 14 days

How to send MailChimp data to BigQuery

Sync data automatically — no code, no manual exports.

Connect MailChimp to Kondado

Authenticate your MailChimp account by providing your API credentials in the Kondado platform, granting access to your campaign data and audience metrics without complex configuration.

Configure your BigQuery destination

Select BigQuery as your destination and specify the dataset and project where your MailChimp data should be stored, ensuring proper permissions for data loading.

Select data and schedule updates

Choose the Reports pipeline and set your preferred update frequency, from every 5 minutes to daily, to keep your marketing analytics current and aligned with your reporting needs.

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado

Why Kondado?

Focus on extracting value from your data and leave the rest to us

Wherever you need

With the same platform, you send data to AI (Claude/ChatGPT via MCP), reports, spreadsheets, databases, data warehouses, and data lakes. ETL and ELT

Learn More About Our Platform →

From wherever you need

Data from over 80 sources for Marketing, Ecommerce, ERPs, Customer Service, Finance, Databases, and much more

Learn More About Our Data Sources →

Predictable pricing

No surprise invoices, pick a plan and change it anytime

Check out our plans →

Send data from MailChimp to other destinations

MailChimp > Looker Studio

MailChimp > Power BI

Other visualizations

MailChimp > Amazon S3

MailChimp > BigQuery

MailChimp > Excel

MailChimp > Google Sheets

MailChimp > MySQL

MailChimp > PostgreSQL

MailChimp > Redshift

MailChimp > SQL Server

Choose a tool to visualize your MailChimp data

If the software you need is not listed, drop us a messagem. You can use almost every tool

MailChimp > Airtable

MailChimp > Alteryx

MailChimp > Amazon Quicksight

MailChimp > BIMachine

MailChimp > Cortex

MailChimp > Data Studio

MailChimp > Geckoboard

MailChimp > Grafana

MailChimp > IBM Cognos Analytics

MailChimp > Klipfolio

MailChimp > Looker Studio

MailChimp > Looker

MailChimp > Looqbox

MailChimp > Metabase

MailChimp > Microstrategy

MailChimp > Pentaho

MailChimp > Power BI

MailChimp > Qlik Cloud Analytics

MailChimp > Qlik Sense

MailChimp > Qlik

MailChimp > QlikView

MailChimp > Redash

MailChimp > Superset

MailChimp > Tableau

MailChimp > BI TOTVS

MailChimp > Zoho Analytics

Frequently Asked Questions (FAQ)

Answers about sending MailChimp data to BigQuery automatically

How does MailChimp data replication to BigQuery work? ▼

Kondado connects to your MailChimp account via API and extracts your selected data endpoints automatically. The platform then transforms and loads this information into your BigQuery dataset on your chosen schedule, whether every 5 minutes or daily, without requiring any manual intervention or technical setup from your team.

What specific MailChimp metrics can I replicate to BigQuery? ▼

You can replicate the Reports pipeline, which includes 62 fields covering open rates, click rates, emails sent, active list counts, and unsubscribe rates. This comprehensive dataset allows you to analyze campaign performance, subscriber growth trends, and engagement patterns directly within your BigQuery environment using SQL queries.

How often can I update my MailChimp data in BigQuery? ▼

Kondado offers flexible scheduling options ranging from every 5 minutes to daily updates, allowing you to balance data freshness with processing costs. You can configure different frequencies for different pipelines or adjust schedules as your reporting needs evolve throughout campaign cycles.

What format does MailChimp data take once in BigQuery? ▼

Your MailChimp data arrives as structured tables within your specified BigQuery dataset, with standardized schemas that preserve field relationships and data types. This format enables immediate querying through BigQuery SQL, compatibility with Looker Studio, and seamless joins with other data sources in your warehouse.

Can I combine MailChimp data with other marketing platforms in BigQuery? ▼

Yes, once your MailChimp data resides in BigQuery, you can join it with data from Salesforce, Google Ads, or Shopify to create unified customer views. This cross-platform analysis helps you understand how email engagement correlates with website behavior, purchase history, and advertising performance.

Do I need technical skills to set up MailChimp to BigQuery replication? ▼

No coding is required to establish this pipeline. The setup process involves simple authentication with your MailChimp credentials and selecting your BigQuery project, making it accessible for marketing analysts and business users who need data warehouse access without engineering support.

Can I send MailChimp data to destinations other than BigQuery? ▼

While this page focuses on BigQuery, Kondado also supports sending MailChimp data to Power BI, Google Sheets, PostgreSQL, MySQL, Excel, Redshift, SQL Server, and Amazon S3, allowing you to choose the destination that best fits your analytics stack.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days