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Sync data from PostgreSQL to LinkedIn Ads

Connect your data from PostgreSQL to LinkedIn Ads with Hightouch. No APIs, no months-long implementations, and no CSV files. Just your data synced forever.

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The world’s most innovative companies choose Hightouch

Spotify.
Warner Music Group.
PetSmart.
Ramp.
Grammarly.
Anaconda.
Dominos.
Autotrader.
Spotify.
Aritzia.
Dominos.
Nando's.
Warner Music Group.
PetSmart.
WHOOP.
Chime.
Iterable.
Docusign.
Headway.
Viking Line.
Ramp.
Grammarly.
DraftKings.
Autotrader.
Read case studies

Activate your data in 3 easy steps

An illustration showing logos of various sources connecting to destination logos.

Connect to 35+ data sources, like PostgreSQL, and 250+ destinations, like LinkedIn Ads.
An illustration showing logos of various sources connecting to destination logos.

Use SQL or select an existing dbt or Looker model.
An illustration showing a dbt users model with a SQL query.

Map your fields, set your sync schedule, and hit “Go!”
PostgreSQL.

Email

LinkedIn Ads.

Email

PostgreSQL.

Name

LinkedIn Ads.

Name

PostgreSQL.

Total_orders

LinkedIn Ads.

All_orders

PostgreSQL.

Last_login

LinkedIn Ads.

Last_login

Use cases

Sync data from PostgreSQL to LinkedIn Ads

  • Upload lists to LinkedIn to run ads based on certain attributes within your database, such as people who have visited your site
  • Create lookalike audiences on LinkedIn using subsets of your users rather than all of them
  • Continuously fuel your LinkedIn custom audiences with live data so that data never goes stale‍
Hightouch Audiences user interface.

What LinkedIn Ads objects can you sync to?

  • Audiences

    LinkedIn Audiences is a set of targeting capabilities to combine LinkedIn’s data with your own data to reach the right audiences on LinkedIn.

What methods can I use to model my PostgreSQL data?

  • Semi-opaque, open dropdown with three example dbt model names such as 'dbt.model.name.1'.

    dbt model selector

    Sync directly with your dbt models saved in a git repository.

  • Semi-opaque open dropdown with three example Look names such as 'Look 1'.

    Looker

    Query using Looks. Hightouch turns your look into SQL and will pull from your source.

  • SQL editor.

    SQL editor

    Create and Edit SQL from your browser. Hightouch supports SQL native to PostgreSQL.

  • Semi-opaque open dropdown with three example workbook names such as 'Workbook 1'.

    Sigma model

    Hightouch converts your Sigma workbook element into a SQL query that runs directly on PostgreSQL.

  • Semi-opaque open dropdown with three example table names such as 'schema.table.name.1'.

    Table selector

    Select available tables and sheets from PostgreSQL and sync using existing views without having to write SQL.

  • Visual query builder reading 'All rows that...' with a button labeled 'select a property'.

    Customer Studio

    For less technical users, pass traits and audiences from PostgreSQL using our visual segmentation builder.

FAQs

There are several options to sync data between sources. You can manually build and maintain a data pipeline, use a point-to-point solution such as Zapier, or you can manually upload CSVs.

With Hightouch, you get:

  • Automation: You do not need to build and maintain custom data pipelines and you do not have to have your team do manual work
  • Simplicity: You avoid a complex web of integrations caused by point-to-point solutions by syncing data from your source
  • Speed: You can get set up in quickly - the average Hightouch customer starts syncing data in 23 minutes
  • Control: companies of all sizes have access to enterprise-level controls including observability, dbt integrations, and version control
  • Security: Hightouch never stores your data and is HIPAA, GDPR, CCPA, and SOC-2 compliant

90% of all Hightouch syncs complete in 30 seconds or less, and the platform enables non-technical users to self-serve.

With Hightouch, you can sync data as frequently as it changes within your PostgreSQL. You can trigger data syncs manually or schedule them to run at an interval or custom recurrence as often as once per minute.

Hightouch offers a basic mapper or advanced mapper that allows you to visually match columns from your PostgreSQL to fields in LinkedIn Ads.

PostgreSQL, also known as Postgres, is a free and open-source relational database management system emphasizing extensibility and SQL compliance.

LinkedIn is a social media network focused on professional relationship, business listings, and employment opportunities. The site offers marketers and recruiters the ability to advertise on the platform through paid social posts, in-mail and more.

Yes, if you integerate PostgreSQL and LinkedIn Ads using Hightouch, in-warehouse planning is supported.

Great, but what is in-warehouse planning?

Between every sync, Hightouch notices any and all changes in your data model. This allows you to only send updated results to your destination (in this case LinkedIn Ads). With the baseline setup, Hightouch picks out only the rows that need to be synced by querying every row in your data model before diffing using Hightouch’s infrastructure.

The issue here is this can be slow for large models.

Warehouse Planning allows Hightouch to do this diff directly in your warehouse. Read more on how this workshere.

OtherPostgreSQL integrations

OtherLinkedIn Ads integrations


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