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Mailchimp + PostgreSQL

Add new Mailchimp subscribers for new custom query matches on PostgreSQL

If you're identifying potential newsletter subscribers on PostgreSQL by using custom queries, we recommend you activate this Zap to save yourself some time. Once you do, any new row found to match your custom query on PostgreSQL will automatically trigger this integration, adding a subscriber to Mailchimp so that you can be sure your marketing efforts are supported by the latest customer data at all times.

If you're identifying potential newsletter subscribers on PostgreSQL by using custom queries, we recommend you activate this Zap to save yourself some time. Once you do, any new row found to match your custom query on PostgreSQL will automatically trigger this integration, adding a subscriber to Mailchimp so that you can be sure your marketing efforts are supported by the latest customer data at all times.

  1. When this happens...
    PostgreSQLPostgreSQL
    New Row (Custom Query)

    Triggered when new rows are returned from a custom query that you provide. Advanced Users Only

    TriggerScheduled
  2. automatically do this!
    MailchimpMailchimp
    Add/Update Subscriber

    Add a new subscriber to an audience of your choosing. Can be used to update an existing subscriber too.

    ActionWrite
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Supported triggers and actions

What does this mean?
    • Table/ViewRequired

    Trigger
    Scheduled
    Try It
    • QueryRequired

    Trigger
    Scheduled
    Try It
    • Table/ViewRequired

    • Primary KeyRequired

    • Order ByRequired

    • Trigger Column

    Trigger
    Scheduled
    Try It
    • TableRequired

    • ID ColumnRequired

    Action
    Write
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About Mailchimp

Share your ideas with Mailchimp email newsletters—then use its landing page and form builders to grow your lists and take marketing further with drip and transactional emails.
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  • Email Newsletters

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About PostgreSQL

PostgreSQL is a powerful, open-source database engine with a uniquely advanced query optimizer and dozens of built in features, making it an easy choice for production databases.

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