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MailerLite + PostgreSQL

Create or update MailerLite subscribers from new or updated rows in PostgreSQL

Manage your subscriber list in real-time with this structured automation between PostgreSQL and MailerLite. Set it up to monitor changes in PostgreSQL row data, and when new or updated data is detected, the corresponding subscriber will be created or updated in your MailerLite subscriber list. This ensures your email marketing campaigns always reach the most current and relevant audience.

Manage your subscriber list in real-time with this structured automation between PostgreSQL and MailerLite. Set it up to monitor changes in PostgreSQL row data, and when new or updated data is detected, the corresponding subscriber will be created or updated in your MailerLite subscriber list. This ensures your email marketing campaigns always reach the most current and relevant audience.

  1. When this happens...
    PostgreSQLPostgreSQL
    New or Updated Row

    Triggered when a new row is added or modified.

    TriggerScheduled
  2. automatically do this!
    MailerLiteMailerLite
    Create or Update Subscriber

    Create a new subscriber or Update an existing subscriber based on their email.

    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 MailerLite

MailerLite’s super-fast email marketing platform helps you grow your business online using innovative email designs, automations, email segmentation and intuitive no-code tools to create websites, landing pages, and signup forms.
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  • Marketing Automation

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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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