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Connect Mailchimp to Snowflake

Send Mailchimp campaigns, audience (list of contacts), audience activity and 7 more data types to Snowflake on a schedule. Pick the audience, pick columns, filter by date and narrow it down by status. Refresh as often as every 15 minutes.

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Snowflake schema mailchimp
  • campaigns
  • audience_list_of_contacts
  • audience_activity
  • audience_clients
  • audience_growth_history
  • 5 more data types
Each Mailchimp data type lands in its own table. You pick the schema and table names.
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How to connect Mailchimp and Snowflake

6 steps. You can preview the Mailchimp data in Coupler.io before anything reaches Snowflake.

Step 1 of 6

Connect Mailchimp

Sign in to Mailchimp and authorize Coupler.io. There's no API key to copy.

Sign in with Mailchimp

Step 2 of 6

Choose what to export

Pick the Mailchimp data you want in Snowflake.

Show 2 more data types Show fewer data types
AudienceNot setSelect audience to import data for.

Step 3 of 6

Fine-tune the export

Optional settings for this Mailchimp export.

Created after dateAny dateSpecify the data entity creation date to export data added after this date (e.g. after 2020-01-01 09:00).
Created before dateAny dateSpecify the data entity creation date to export data added before this date (e.g. before 2020-01-01 09:00).
Sent since dateAny dateSpecify date to export data about campaigns sent after this date (e.g. after 2020-01-01 09:00).
Sent before dateAny dateSpecify date to export data about campaigns sent before this date (e.g. after 2020-01-01 09:00).
Show 2 more fields Show fewer fields
StatusNot set
Advanced filtersNot set

Step 4 of 6

Pick columns

Keep only the columns you need, so the table stays easy to work with.

ColumnsNot setSpecify the names of the columns and their order by entering each of them in a new line.

Step 5 of 6

Connect Snowflake

Sign in to Snowflake with OAuth, then enter the database, schema, and table for the Mailchimp data.

DatabaseANALYTICSThe target Snowflake database
SchemamailchimpDefaults to public
TablecampaignsCreated automatically on the first run

Step 6 of 6

Choose a write mode and schedule

Every run either replaces or appends the data in Snowflake. Run it as often as every 15 minutes.

Write mode

Each run deletes the existing rows in campaigns and loads fresh Mailchimp data.

Get the most of Mailchimp to Snowflake integration

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Gather data

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Understand data

Preview, transform, sort, and filter data for better clarity in just a few clicks in the Coupler.io interface. Take your data analytics to the next level.
Automate data icon

Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
Mailchimp to Snowflake questions

10 data types, including Campaigns, Audience (list of contacts), Audience activity, Audience clients and Audience growth history.

You sign in to Mailchimp and authorize Coupler.io. There's no API key to copy.

Yes. Filter by created date or sent date to load the period you need.

Yes. Pick the columns you need, and only those reach Snowflake.

Yes. Available filters include status. You can also add your own filter conditions.

Yes. With the required privileges, Coupler.io creates missing schemas and tables in your database on the first successful run.

Yes. Append adds new rows to campaigns on each run, while Replace swaps in a fresh copy. With Append, add new Mailchimp columns to the table yourself before the next run.

On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.

Yes. Add more sources to the same data flow, for example GoHighLevel or Google Ads, and join or append them before the data reaches Snowflake.

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