What specific MailChimp data can I extract using Kondado?

You can access the Reports pipeline containing 62 fields including open rates, click rates, emails sent counts, active list totals, and unsubscribe metrics. This covers essential email campaign performance indicators and audience health statistics for comprehensive MailChimp analytics.

How do I connect MailChimp to Power BI or Google Sheets?

Simply add MailChimp as a data source in Kondado, select the Reports pipeline, and choose your destination such as Power BI or Google Sheets . The connection uses standard MailChimp API authentication without requiring technical coding skills.

How frequently does MailChimp data update in Kondado?

Kondado updates your MailChimp data on a configurable schedule ranging from every five minutes to once daily, depending on your monitoring needs. This ensures your email marketing dashboards reflect recent campaign performance without manual refresh.

Can I combine MailChimp data with other marketing platforms?

Yes, you can replicate MailChimp data alongside other sources into destinations like BigQuery or PostgreSQL to create unified marketing reports. This allows correlation of email metrics with website analytics, CRM data, or advertising platforms for complete attribution analysis.

What types of dashboards can I build with MailChimp data?

You can create custom dashboards tracking campaign performance trends, subscriber growth rates, list hygiene metrics, and engagement scoring models. These visualizations work in Looker Studio , Power BI , or spreadsheet tools to monitor email channel health.

Do I need technical skills to set up the MailChimp data source?

No coding is required to configure the MailChimp data source or select your destination. The setup process involves authentication through your MailChimp account credentials and selecting which fields to replicate from the available 62-field Reports pipeline.

Can I send MailChimp data to a database like PostgreSQL or MySQL?

Yes, Kondado supports database destinations including PostgreSQL , MySQL, Redshift, SQL Server, and BigQuery . This enables SQL-based analysis and storage of historical email campaign data for long-term trend analysis.

How does the MailChimp API connection handle large subscriber lists?

The pipeline efficiently extracts Reports data including aggregate metrics and list statistics through the MailChimp API, handling accounts of various sizes. Data replication occurs on your chosen schedule to maintain current analytics without manual CSV exports.

Send MailChimp data to reports, spreadsheets and ETL

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MailChimp Data Pipeline for Marketing Analytics

With Kondado, you can replicate comprehensive MailChimp data including email campaign performance metrics, subscriber list statistics, and engagement analytics directly into your preferred destination. Access detailed information about open rates, click-through rates, total emails sent, and list growth trends without manual exports or CSV downloads. Our MailChimp data source captures 62 distinct fields covering active subscriber counts, unsubscribe rates, bounce statistics, and campaign effectiveness indicators to fuel your marketing analytics and audience insights.

Kondado’s MailChimp data source offers 1 pipeline with 62 fields, providing direct access to campaign reports that include critical email marketing KPIs such as delivery statistics, engagement rates, audience list health metrics, and subscriber activity tracking.

Marketing teams can monitor campaign effectiveness by tracking open and click trends over time, while data analysts build custom attribution models correlating email engagement with revenue outcomes in their preferred BI tools. Operations teams benefit from automated list management reporting, identifying churn patterns and subscriber growth across different audience segments and signup sources. Business intelligence professionals use this MailChimp data to create executive dashboards displaying email channel ROI, list hygiene metrics, and comparative performance across campaign types without writing complex API code.

The Kondado platform takes care of refreshing MailChimp data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing MailChimp data in your report, spreadsheet, data warehouse, data lake, or database

Available MailChimp Data

The following pipeline delivers comprehensive email marketing intelligence that transforms how you analyze MailChimp analytics. Within the Reports data, you can analyze open rate trends to identify your best-performing send times and subject line strategies, while click rate metrics reveal which content resonates most with different audience segments. Monitor emails sent volumes alongside active list counts to calculate true engagement percentages, and track unsubscribe rates to spot potential deliverability issues or content fatigue signals before they impact your sender reputation. By combining these engagement metrics with sales data from other sources, you measure true campaign ROI across your complete marketing stack. With automated updates running on a configurable schedule from every five minutes to daily, your marketing KPIs stay current for agile decision-making and rapid campaign optimization.

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Available MailChimp data

available pipeline

extractable fields

Available integrations

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

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 →

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How to visualize MailChimp data in 3 steps

Connect MailChimp to dashboards, spreadsheets, or databases — no code required.

Add MailChimp data source

Configure your MailChimp connection by selecting it from Kondado's available sources and authenticating with your MailChimp API credentials to establish the data pipeline.

Select pipelines and destination

Choose the Reports pipeline containing 62 fields and select where to send your data, such as Power BI, Google Sheets, BigQuery, or PostgreSQL.

Analyze in dashboards, sheets, or databases

Visualize your MailChimp analytics in Looker Studio or Power BI dashboards, explore metrics in Google Sheets or Excel spreadsheets, and query historical campaign data in PostgreSQL, MySQL, or BigQuery database tables.

Try out all the features for free for 14 days