How to Export Mailchimp Data to Postgres

The Postgres routes in one table

What makes the Postgres route different

Postgres is the only destination in this cluster where the manual route forces a design decision before a single row loads: No. There is no native Mailchimp-to-Postgres sync — you either load a CSV export by hand with a schema you define, or you use a third-party ETL connector that creates the tables for you. You must declare each column — text, integer, timestamp — and a mismatch (a date string in an integer column, a header that does not match) fails the load instead of quietly mangling the data the way a spreadsheet might. That strictness is the point of putting marketing data in a database, but it means the manual route is genuinely a small engineering job, not a five-click import. The ETL route exists to remove exactly that job: the connectors below authenticate with your Mailchimp API key, replicate the objects you choose, and create the destination tables themselves.

The process, step by step

1. Export from Mailchimp first. For a campaign report, follow the campaign report guide (Campaigns → View report → Actions → Export CSV); for a flow, follow the automation reports guide. Save the CSV where your database tools can reach it.
2. For a manual load, create the table, then load it. Create the target table with columns matching your CSV, then load it with psql's client-side copy command or pgAdmin's Import/Export Data dialog, using FORMAT csv with HEADER true.
3. Pick the right load command for where the file sits. COPY reads a file on the database server and needs server-side file permissions, while the psql client-side copy command reads a file on your own machine through psql — use the psql command for cloud databases you connect to remotely. In psql the shape is: \copy your_table (column1, column2) FROM '/path/to/your/file.csv' DELIMITER ',' CSV HEADER; — replace the table name, column list, and path with your own. In pgAdmin, right-click the target table, choose Import/Export Data, set Import, Format CSV, Header on, and Delimiter to a comma.
4. For a recurring sync, use an ETL connector instead of repeating the load. Kondado, Estuary, Skyvia, and Airbyte all publish Mailchimp-to-Postgres pipelines; they authenticate with your Mailchimp API key, replicate reports, campaigns, lists, and members, and create the destination tables for you. Kondado's own page describes a no-code setup with scheduled refreshes; Estuary's describes incremental replication for campaigns, email activity, list members, and segments with OAuth2 or API-key authentication; Skyvia's describes replication with scheduling down to once per minute; Airbyte's describes a certified Mailchimp source with Reports, Campaigns, Automations, and List Members among its streams.
5. Verify before you build on it. After any load, run a row count and spot-check a few rows against the Mailchimp report — a silent column mismatch is the failure mode that costs a week of dashboards.

Other Mailchimp destinations

Other Mailchimp destinations: How to Connect Mailchimp to Qlik and How to Export a Mailchimp Campaign Report.

Source

The Mailchimp CSV export comes from Mailchimp's own help: Mailchimp — Download a Campaign Report. The COPY / \copy / pgAdmin load mechanics come from PostgreSQL community documentation: RisingWave — Guide to Importing CSV Data into PostgreSQL. The connector claims come from each vendor's own pages: Kondado — Replicate data from Mailchimp to PostgreSQL, Estuary — Mailchimp to Amazon Aurora for Postgres, Skyvia — Mailchimp to Google Cloud SQL for PostgreSQL, and Airbyte — Sync Mailchimp data anywhere. Facts verified 2026-10-24. Connector claims here are secondary-source claims and are worded as such — verify pricing and free-tier terms on the vendor's own site before paying.

This page explains how the process works and what the official documentation says. It is general information, not advice about your specific account or data — an ETL connector holds credentials for both your Mailchimp account and your database, so check its permissions and your database's access controls before connecting it.