Connect Mailchimp to Redshift
Send Mailchimp campaigns, audience (list of contacts), audience activity and 7 more data types to Redshift on a schedule. Pick the audience, pick columns, filter by date and narrow it down by status. Refresh as often as every 15 minutes.
mailchimp
campaignsaudience_list_of_contactsaudience_activityaudience_clientsaudience_growth_history- 5 more data types
How to connect Mailchimp and Redshift
6 steps. You can preview the Mailchimp data in Coupler.io before anything reaches Redshift.
Step 1 of 6
Connect Mailchimp
Sign in to Mailchimp and authorize Coupler.io. There's no API key to copy.
Step 2 of 6
Choose what to export
Pick the Mailchimp data you want in Redshift.
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Step 3 of 6
Fine-tune the export
Optional settings for this Mailchimp export.
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Step 4 of 6
Pick columns
Keep only the columns you need, so the table stays easy to work with.
Step 5 of 6
Connect Redshift
Enter your Redshift connection details, then the schema and table for the Mailchimp data.
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Step 6 of 6
Choose a write mode and schedule
Every run either replaces or appends the data in Redshift. Run it as often as every 15 minutes.
Each run drops and recreates campaigns with fresh Mailchimp data.
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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 Redshift.
Yes. Available filters include status. You can also add your own filter conditions.
Yes, if the database user has CREATE privileges. Coupler.io creates the mailchimp schema and the campaigns table on the first run.
With Replace, Coupler.io recreates campaigns, so new Mailchimp columns appear automatically. With Append, the table keeps its schema, so add the column yourself or switch to Replace.
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 Redshift.