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Mailchimp + PostgreSQL

Mailchimp + PostgreSQL

Mailchimp + PostgreSQL integrations

Update Mailchimp subscribers with new or updated rows from PostgreSQL

Maintain seamless consistency between your PostgreSQL database and Mailchimp subscriber list with this practical workflow. Whenever a row in your PostgreSQL gets added or updated, this workflow takes charge, ensuring the corresponding Mailchimp record matches. Enjoy peace of mind knowing that the two are always kept aligned, saving you from manual tracking and potential discrepancies.

  1. When this happens...
    New or Updated Row
    New or Updated Row
    New or Updated RowTriggers when a new row is added or modified.
  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
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    • Query
      Required
    Trigger
    Polling
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    • Table/View
      Required
    • Primary_key
      Required
    • Order_by
      Required
    • Trigger_column
    Trigger
    Polling
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    • 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
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    • 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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