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Pipedrive + PostgreSQL

Pipedrive + PostgreSQL

Pipedrive + PostgreSQL integrations

Create new Pipedrive deals from new PostgreSQL custom query rows

Automate the process to effectively manage your sales on Pipedrive whenever new data is added to your PostgreSQL. This workflow initiates when new row data from a custom query in your PostgreSQL database is detected, consequently creating a fresh deal in Pipedrive. It ensures your sales team is immediately alerted about any new deal, allowing them to monitor all sales activities effectively in real-time. Keep your sales data up-to-date and enhance your team's productivity with this streamlined process.

  1. When this happens...
    New Row (Custom Query)
    New Row (Custom Query)
    New Row (Custom Query)Triggers when new rows are returned from a custom query that you provide. Advanced Users Only.
  2. automatically do this!
    Create Deal
    Create Deal
    Create DealCreates a new deal.
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More things you can do with PostgreSQL and Pipedrive

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

    • 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
    • Table
      Required
    Action
    Write
    • Table
      Required
    • Lookup Column
      Required
    • Lookup_value
      Required
    Action
    Search
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About Pipedrive
Pipedrive is sales pipeline and CRM software for deal makers. Get super-organized. Close deals in less time. iOS and Android apps let you take your pipeline with you anywhere.
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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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