LinkedIn Ads connector

Set up the LinkedIn Ads connector in Kaivo: authentication, configuration, the 18 BigQuery tables it syncs, and answers to common questions.

Written By Lauri Raivio

Last updated About 1 hour ago

Kaivo is a fully managed data platform that syncs your LinkedIn Ads data into a Google BigQuery warehouse and keeps it up to date automatically. There is no pipeline to build and no infrastructure to run, so you can spend your time analysing your marketing and sales data instead of moving it.

What is the LinkedIn Ads connector

Sync your LinkedIn Ads campaigns, spend, and conversions into BigQuery with Kaivo to track performance alongside your other marketing channels.

CategoryMarketing & Sales
StatusGenerally available
AuthenticationOAuth
SetupSelf-service

Getting started with the LinkedIn Ads connector

  1. Sign up for Kaivo and create a workspace.
  2. Connect your LinkedIn Ads account.
  3. Choose which tables to sync.
  4. Wait for the initial sync to finish.
  5. Query your data in BigQuery or your favourite AI or BI tool.

Authenticating LinkedIn Ads

Connect by signing in to your LinkedIn Ads account. Kaivo runs the connection for you, so you never share a password.

Configuring the LinkedIn Ads connector

When you set up the connector, you provide:

FieldDescription
Start Date

Any data before this date will not be fetched.

Account ID

Specify the account ID to pull data from. To locate the ID:

  1. Sign in to LinkedIn Campaign Manager.
  2. The account ID number is in the upper-left corner of the page, below the account name.
  3. To see your other ad accounts, click the account name. The account ID number appears below each name.

Tables and columns synced from LinkedIn Ads

Kaivo syncs 18 tables from LinkedIn Ads into a dedicated dataset in your BigQuery warehouse. Click any table to see its columns and types.

How the LinkedIn Ads sync works

After the first load, Kaivo keeps your BigQuery warehouse up to date for you. Where LinkedIn Ads supports it, each sync pulls only new and changed records so it stays fast; otherwise it refreshes the whole table. Every record keeps its original ID, so you won't get duplicate rows.

Frequently asked questions

How long does the initial sync take for LinkedIn Ads?

It depends on how much history is in your LinkedIn Ads account. Most initial syncs finish within minutes, while large accounts can take a few hours. After that, syncs only fetch new and changed records, so they're much faster.

Can I sync only some tables or columns?

Yes. You pick which tables to sync when you set up the connection and can change the selection later. Tables you don't select are never copied to your warehouse.

What happens when LinkedIn Ads's schema changes?

New fields are never added automatically. You choose which fields to sync, so data you haven't selected (sensitive personal data, for example) never lands in your warehouse. When a new field appears, it becomes available for you to add. What happens to removed or renamed fields depends on a table's sync mode: full-refresh tables always match what's currently in LinkedIn Ads, so dropped fields disappear, while incremental tables keep their existing columns and history, so an old field stays and newly added fields fill in over time.

How do I handle GDPR or data deletion requests?

Your data lives in your own Kaivo-managed BigQuery warehouse, so the most direct option is to delete or anonymise specific records right in BigQuery. If you delete data in LinkedIn Ads instead, full-refresh tables drop it on the next sync, while incremental tables keep it, so you would remove the row in BigQuery or ask us to run a full refresh. To remove everything, delete the LinkedIn Ads connector in Kaivo and all of its synced data is deleted with it.

Common use cases for LinkedIn Ads data

Campaign performance

Use ad_campaign_analytics to track impressions, clicks, spend, and conversions by campaign.

Lead generation

Analyse lead_forms and conversions to measure cost per lead and lead quality.

Cross-channel reporting

Combine LinkedIn Ads with your other ad platforms in BigQuery for one view.

Creative performance

Report on creative analytics to see which creatives perform best.

Use LinkedIn Ads data in your AI and BI tools

Once LinkedIn Ads data lands in your Kaivo-managed BigQuery warehouse, you can explore it with AI tools or any BI tool that connects to BigQuery. Here's how the most common destinations work with LinkedIn Ads data.

Claude

Use Kaivo's MCP server to give Claude secure, workspace-scoped access to your data. Setup guide →

Power BI

Microsoft's BI tool with a native BigQuery connector. Supports direct query and scheduled refresh. Setup guide →

Data Studio

Free Google BI tool with native BigQuery support. One-click connection to your Kaivo warehouse; great for SMB teams on Google Workspace. Setup guide →

Tableau

The premium analytics standard, with native BigQuery integration. Setup guide →

Google Sheets

Use Connected Sheets to query BigQuery directly from a spreadsheet, with no SQL. Setup guide →

Excel

Connect via Power Query's BigQuery connector. Setup guide →

Metabase

Open-source BI tool with strong BigQuery support. Setup guide →

See our pricing page for LinkedIn Ads connector pricing and plan details.