No-code pipeline · MailChimp → PostgreSQL

Send data from MailChimp to PostgreSQL

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

Kondado automatically replicates MailChimp Reports data to PostgreSQL, including open rates, click rates, emails sent, active lists, and unsubscribe metrics, updating on your chosen schedule without coding or manual intervention.

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Send MailChimp Data to PostgreSQL Automatically

Connecting your MailChimp marketing data to PostgreSQL unlocks advanced analytics capabilities for your email campaigns and subscriber management. Kondado provides a direct integration that replicates your campaign metrics, subscriber behavior, and list performance directly into your PostgreSQL database without requiring complex ETL development. You can configure the replication frequency to match your business needs, whether that means near-real-time updates every 5 minutes or consolidated daily reporting for executive summaries.

Once your data lands in PostgreSQL, you can combine MailChimp metrics with sales data, customer records, or financial information to build comprehensive marketing ROI analyses and customer lifetime value calculations. This automated pipeline eliminates the need for manual CSV exports and ensures your analytics team always works with current, accurate email marketing data for better decision making.

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Available MailChimp Pipelines for PostgreSQL

The Reports pipeline delivers comprehensive email marketing metrics directly into your PostgreSQL environment, capturing 62 distinct fields covering campaign performance and audience health. You receive detailed information on open rates, click-through rates, total emails sent, active subscriber lists, and unsubscribe rates that enable precise tracking of engagement trends and list growth over time.

With this data in PostgreSQL, analysts can correlate MailChimp engagement metrics with transactional data from MySQL or customer information from SQL Server to calculate true campaign ROI. Marketing teams can build custom dashboards in Power BI or Looker Studio by querying their PostgreSQL database, creating automated reports that refresh without manual intervention.

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Replicated to PostgreSQL

MailChimp data available for PostgreSQL

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

available pipeline

extractable fields

PostgreSQL

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 PostgreSQL →

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How to send MailChimp data to PostgreSQL

Sync data automatically — no code, no manual exports.

Connect MailChimp to Kondado

Authenticate your MailChimp account in Kondado by providing your API credentials. The platform will automatically detect available pipelines from your MailChimp data source.

Configure PostgreSQL destination

Enter your PostgreSQL connection parameters including host, database name, and credentials. Kondado validates the connection to ensure your MailChimp data can be replicated successfully.

Select data and set schedule

Choose the Reports pipeline containing your 62 email marketing fields, then configure your preferred update frequency from 5-minute intervals to daily syncs. Activate the pipeline to begin automated replication.

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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

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MailChimp > Looker Studio

MailChimp > Looker

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MailChimp > Pentaho

MailChimp > Power BI

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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 PostgreSQL automatically

How do I connect MailChimp to PostgreSQL without coding? ▼

Kondado provides a no-code interface where you authenticate your MailChimp account and specify your PostgreSQL connection details. The platform handles the data replication automatically, creating the necessary schema and loading your Reports data without requiring SQL scripts or API programming.

What specific MailChimp metrics can I analyze in PostgreSQL? ▼

The Reports pipeline replicates 62 fields including open rates, click rates, emails sent, active list counts, and unsubscribe rates. This enables detailed analysis of campaign performance, subscriber engagement trends, and audience growth directly within your PostgreSQL environment.

How frequently can I update MailChimp data in PostgreSQL? ▼

You can configure updates to run every 5 minutes, 15 minutes, hourly, or daily depending on your analytics requirements. This automated schedule ensures your PostgreSQL database contains current marketing data without manual refresh processes.

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

Yes, once MailChimp data resides in PostgreSQL, you can join it with data from other sources you replicate through Kondado. Combine email metrics with advertising data, CRM records, or e-commerce transactions to create unified marketing performance views in Power BI or Looker Studio.

What format does MailChimp data take when replicated to PostgreSQL? ▼

Kondado structures MailChimp Reports data within PostgreSQL using appropriate data types for each of the 62 available fields. The data arrives normalized and ready for querying, allowing you to build custom SQL analyses or connect business intelligence tools immediately.

Do I need technical expertise to maintain the MailChimp PostgreSQL connection? ▼

No ongoing maintenance is required after initial setup. Kondado manages the pipeline automatically, handling schema updates and data consistency. Your team simply accesses the current data in PostgreSQL for reporting and analysis without managing API connections or manual imports.

Can I send MailChimp data from PostgreSQL to other destinations? ▼

While PostgreSQL serves as your central warehouse, you can further distribute insights to Google Sheets for team sharing or BigQuery for enterprise analytics. The PostgreSQL database acts as your single source of truth for MailChimp metrics.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days