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Connect Mailchimp to MySQL

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

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

Used by the world's leading companies

Export Mailchimp data to MySQL

Catchr handles extraction, normalization, and loading automatically.

Centralize

Centralize Mailchimp data in MySQL

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

Data freshness

Keep your MySQL tables up to date

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

Analysis

Unify Mailchimp with the rest of your business data

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

Mailchimp metrics and dimensions available in MySQL

Access 85 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...

85

Metrics availables

105

Dimensions availables

Connect Mailchimp to MySQL in minutes

Move your data from Mailchimp to MySQL 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.

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 MySQL destination

Connect your existing MySQL database with its host, port, username, password, and database name. Then create the datastream that defines where the selected source data should go.

Destination / MySQL Required fields
Host Required
analytics-db.internal
Username Required
catchr_writer
Password Required
••••••••••••
Database Required
marketing_reporting
Step three

Keep your MySQL tables updated

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

Export job / MySQL Example
Database Destination
marketing_reporting
Table Per job
google_ads_campaigns
Recurring schedule Choose a cadence
Every 6 hours
Daily · 06:00
Weekly · Mon
Export readySelected fields · configured history
Every 6 hours

Review 30-day Mailchimp email campaign performance in SQL.

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

Mailchimp.sql
BigQuery SQL
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

Connect more table to your Mailchimp data

Open the dedicated route for each platform. Its field catalog, reporting grain, historical constraints, and warehouse use cases should be specific to that source.

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Before you schedule the job.

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

Where do I configure a Mailchimp export to MySQL?

Connect Mailchimp as a Catchr source. Add your existing MySQL 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 MySQL?

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 MySQL tables such as accounts, campaigns, and contacts.

How does Catchr process a large Mailchimp backfill into MySQL?

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 MySQL?

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 MySQL?

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

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

Yes. Connect an existing MySQL 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 MySQL 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 MySQL reporting table should not start with five exports.

Connect your accounts, choose the fields, then schedule the data your team needs in MySQL.

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