Home > Destinations > PostgreSQL > Mailchimp

Connect Mailchimp to PostgreSQL

Connect Mailchimp to PostgreSQL and export selected accounts, metrics, and dimensions to your PostgreSQL project.

Configure the historical window, destination table, and recurring schedule without maintaining a Mailchimp API pipeline.

Mailchimp export job

First sync scheduled

Mailchimp Selected accounts

Configured job

PostgreSQL Destination table

Account Mailchimp · Client group A

Table daily_dump

Initial import Configured historical window

Schedule Daily · 06:00 UTC

Fields Selected metrics + dimensions

Partition date · eligible field

Illustrative job · configure values for your account Export ready

Used by the world's leading companies

Export Mailchimp data to PostgreSQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Mailchimp data in PostgreSQL

Bring all your Mailchimp data into your warehouse and make it available for analytics, machine learning, and internal applications.

Source

Mailchimp Emailing data

INaccounts PMcampaigns CUcontacts BLlists

Catchr pipeline IN PM CU Extract · normalize · load

PostgreSQL catchr_data.Mailchimp_raw

TableScopeStatus

accountsSelectedReady

campaignsSelectedReady

contactsSelectedReady

listsSelectedReady

Data freshness

Keep your PostgreSQL tables up to date

Automatically sync new data from Mailchimp so every dashboard, model, and report works with fresh information.

MailchimpConfigured account

PostgreSQLMailchimp Metrics_raw

Rows processed Scheduled loads Example 24h

00:0006:0012:0018:00

Latest run Completed 06:00 UTC

New rows +428 4 tables updated

Next run Scheduled 12:00 UTC

accounts326 updated campaigns102 appended Warehouse up to date

Analysis

Unify Mailchimp with the rest of your business data

Join marketing, finance, CRM, and product data inside the same warehouse.

Business data model

model / business_360

Warehouse inputs

QuickBooks accounts · A - Abuse Reports Emailing

Marketingcampaign · spend · UTM Ads

CRMcontact_id · lifecycle Sales

Productaccount_id · event_date Usage

Match keys customer · date · campaign

PostgreSQL model business_360 Unified

FieldFrom

customer_idCRM

A - Abuse Reportsaccounts

ad_spendMarketing

lifecycle_stageCRM

active_usersProduct

Ready for SQL 5 business fields

Mailchimp metrics and dimensions available in PostgreSQL

Access 82 metrics and 105 dimensions from Mailchimp connectors including Emails Sent, Open Rate, Click Rate, Clicks Total, E-commerce - Total Revenue, E-commerce - Total Orders, List Member Count, Bounce rate, Campaign Title, Campaign Subject Line, Campaign Type, Campaign Send Time, Date, Member Source, Automation title, Automation Status and many more...

Metrics availables

105

Dimensions availables

View all Mailchimp Metrics metrics and dimensions

Connect Mailchimp to PostgreSQL in minutes

Move your data from Mailchimp to PostgreSQL with a simple setup. Once connected, Catchr handles the ingestion automatically so your warehouse stays up to date without manual work.

Step one

Connect your Mailchimp account

Authenticate your Mailchimp account securely in Catchr. No custom scripts, API maintenance, or engineering work required.

Connect now

Client A · Connected sources

5 sources ready

Mailchimp 3 advertising accounts Connected

Google Ads 2 advertising accounts Connected

Google Analytics 4 1 web property Connected

HubSpot 1 CRM portal Connected

Step two

Choose the PostgreSQL destination

Add the database host and credentials once. Catchr checks the connection so your exports start with a reachable destination.

Destination / PostgreSQL Required fields

Host Required

warehouse.company.net

Username Required

catchr_writer

Password Required

••••••••••••

Database Required

marketing

Step three

Keep your PostgreSQL tables updated

Choose the fields, initial history, partition field, and recurring schedule for the job. Catchr refreshes the configured import window in your PostgreSQL table.

Export job / PostgreSQL Example

Schema Destination

marketing_raw

Table Per job

linkedin_ads_daily

Recurring schedule Choose a cadence

Every 6 hours

Daily · 07:00

Weekly · Mon

First sync scheduledSelected fields · configured history

07:00 UTC

Review 30-day Mailchimp email campaign performance in SQL.

This example summarizes delivery, opens, clicks, and engagement rates by email campaign.

30-day window

SELECT
  campaign_name,
  SUM(sent) AS sent,
  SUM(delivered) AS delivered,
  SUM(opens) AS opens,
  SUM(clicks) AS clicks,
  SAFE_DIVIDE(
    SUM(opens),
    SUM(delivered)
  ) AS open_rate,
  SAFE_DIVIDE(
    SUM(clicks),
    SUM(delivered)
  ) AS click_rate
FROM `your_project.marketing_raw.mailchimp_campaign_daily`
WHERE date >= DATE_SUB(
  CURRENT_DATE(),
  INTERVAL 30 DAY
)
GROUP BY campaign_name
ORDER BY delivered DESC;

Illustrative SQL — adapt it to the fields and schema selected in your export. Standard SQL

Choose what to load into PostgreSQL.

Each connector has its own entities, fields, historical limits, and reporting uses. Open a source page for the details that belong to that platform.

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

Finance

Before you schedule the job.

Answers about PostgreSQL setup, available source data, schedules, table updates, and SQL use cases.

Where do I configure a Mailchimp export to PostgreSQL?

Connect Mailchimp as a Catchr source. Add your existing PostgreSQL database, create a datastream, and configure a job that writes the selected fields to the "campaigns" table.

Which parts of Mailchimp can be exported to PostgreSQL?

Select concrete Mailchimp fields such as A - Abuse Reports, A - Bounces, AB Split - A - Link Click Percentage, and Day of the month. You can rename the chosen columns, preview the result, and write them to PostgreSQL tables such as accounts, campaigns, and contacts.

How does Catchr process a large Mailchimp backfill into PostgreSQL?

Catchr first processes the historical range configured for Mailchimp. Later runs update the "campaigns" table using the saved frequency and rolling import window.

How are overlapping Mailchimp import windows handled in PostgreSQL?

Catchr uses the selected partition field to refresh the relevant Mailchimp period inside "campaigns". Leaving it blank changes the job to append-only behavior.

What can I analyze with Mailchimp data in PostgreSQL?

With Mailchimp data, a PostgreSQL query can summarize delivery, opens, clicks, and engagement rates by email campaign. A PostgreSQL view comparing A - Abuse Reports and A - Bounces can feed agency dashboards or downstream BI models.

Does my PostgreSQL database need to exist before I connect it?

Yes. Connect an existing PostgreSQL database first. The Catchr job creates and populates the destination table you configure inside that database.

Can I load several marketing sources into the same Postgres database?

Yes. Create a separate datastream and job for each source, write each export to its own table, then combine the data downstream with SQL, views, or your BI tool.

Still have a question ?

Our teams is always here to responds to any question you could have about our data connector.

Your next database import should not start with five exports.

Connect your marketing platforms and build a data workflow your entire agency can use.

Start your free-trial Book a demo

14 days free-trial

No credit-card required

100+ sources

Used by the world's leading companies

Export Mailchimp data to PostgreSQL

Centralize Mailchimp data in PostgreSQL

Keep your PostgreSQL tables up to date

Unify Mailchimp with the rest of your business data

Mailchimp metrics and dimensions available in PostgreSQL

Connect Mailchimp to PostgreSQL in minutes

Connect your Mailchimp account

Choose the PostgreSQL destination

Keep your PostgreSQL tables updated

Review 30-day Mailchimp email campaign performance in SQL.

Choose what to load into PostgreSQL.

QuickBooks

MailerLite

JSON / CSV / XML

Firebase Realtime Database

ChatGPT

Braze

StackAdapt

Amazon DSP

AdsWizz

TikTok Shop

The Trade Desk

Outbrain DSP

Google Display & Video 360

Tiktok GMV

Chartmogul

Profitwell

Zoho CRM

Line Ads

Yahoo! Japan Display

Yahoo! Japan search ads

Xandr

Branch

Google Trends

Google Page Speed

Airbnb Review

Capterra Review

Facebook Review

Yelp Review

Glassdoor Review

Booking Review

Google Play Review

g2 Review

Appstore Review

Tripadvisor Review

Trustpilot Review

Indeed Review

Taboola

Teads

Outbrain

Magento

Prestashop

Bigcommerce

Youtube Analytics

Google Ads

Facebook Ads

LinkedIn Ads

Microsoft Ads

Facebook Pages

Amazon Ads

Pinterest Ads

X / Twitter Ads

TikTok Ads

Google Merchant Center

Google Analytics

Instagram

TikTok

Shopify

Google My Business

Snapchat Ads

LinkedIn Pages

Google Search Console

Spotify Ads

WooCommerce

Matomo

Klaviyo

Mailchimp

Pipedrive

ActiveCampaign