Sync data from PostgreSQL to Facebook Ads Audiences

Sync your data from PostgreSQL to Facebook Ads Audiences with DataChannel in minutes without writing any code or scripts. Select and map the fields you want to load and retain complete control over the data you are moving.

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Facebook Ads Audiences

About Facebook Ads Audiences

The Facebook Ads Reverse ETL Sync enables streaming data from a user determined warehouse  to the Facebook Ads platform in an automated manner.

Learn more about Facebook Ads Audiences.

See where you can sync data to in Facebook Ads Audiences

Audience List

This sync can be used to request and retrieve audience list data from a user specified data warehouse to the Facebooks Ads platform.

Learn more about what data can be integrated into your data warehouse using DataChannel in the documentation here.

Steps to sync data to Facebook Ads Audiences from PostgreSQL using DataChannel

  1. Select the data warehouse and create a data model from which you want the data for your Facebook Ads. If you have not yet added a data warehouse, go to data warehouse tab and add a warehouse.
  2. Authorize DataChannel to connect to your Facebook Ads account using OAuth using the process described in the documentation here.
  3. Click on add Data Sync button to start adding data syncs to your account.
facebook ads reverse etl sync configuration in data channel
Adding a Data Sync to Facebook Ads in DataChannel

4.Map the fields from your data model to fields in Facebook Ads.

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Why choose DataChannel to sync data from PostgreSQL to Facebook Ads Audiences

Granular control over pipeline configuration
Advanced scheduling options
Automated handling of source schema changes
Secure credential management with OAuth2
Activity & change history tracking
Real time alerts & failure notifications
Preview data without ever leaving the platform
Extensive documentation & on-screen help
Extensive Logs & complete visibility of pipeline health

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View other warehouses you can sync data into Facebook Ads Audiences from

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MySQL

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Snowflake

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Google BigQuery

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Amazon Redshift

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