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Mailchimp + PostgreSQL

Mailchimp + PostgreSQL

Mailchimp + PostgreSQL integrations

Add subscribers to Mailchimp for new rows on PostgreSQL

If you've already got your potential newsletter subscribers stored away in your PostgreSQL database, why waste any time moving them over to Mailchimp manually? Flip the switch on this Zap, and we'll handle that for you. From then on, a new subscriber will automatically be added to Mailchimp for every new row you add on PostgreSQL, making sure your marketing keeps reaching the widest possible user base.

  1. When this happens...
    New Row
    New Row
    New RowTriggers when you add a new row.
  2. automatically do this!
    Add/Update Subscriber
    Add/Update Subscriber
    Add/Update SubscriberAdd a new subscriber to an audience of your choosing. Can be used to update an existing subscriber too.
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More things you can do with PostgreSQL and Mailchimp

Discover other triggers and actions you can use with PostgreSQL and Mailchimp

    • Table/View
      Required
    Trigger
    Polling
    Try It
    • Query
      Required
    Trigger
    Polling
    Try It
    • Table/View
      Required
    • Primary_key
      Required
    • Order_by
      Required
    • Trigger_column
    Trigger
    Polling
    Try It
    • Table
      Required
    • ID Column
      Required
    Action
    Write
    • Table/View
      Required
    • Order_by
    • Dedupe_key
    Trigger
    Polling
    Try It
  • PostgreSQL triggers, actions, and search
    New Table

    Triggers when you add a new table.

    Trigger
    Polling
    Try It
    • Table
      Required
    Action
    Write
    • Table
      Required
    • Lookup Column
      Required
    • Lookup_value
      Required
    Action
    Search
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About Mailchimp
Mailchimp is an email and marketing automation platform built for growing businesses. Turn email and SMS into revenue.
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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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