Connector

Collect LinkedIn Ads Data in Google BigQuery

Own your LinkedIn Ads data in Google BigQuery with OWOX Data Marts. Collect granular, analytics-ready data directly into BigQuery, control schema and refresh logic, and reuse it across BI tools and AI Insights.

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Endpoints

LinkedIn Ads Endpoints

Documentation

5 LinkedIn Ads endpoints you can import. Each lands in its own table in your warehouse.

  • Ad Accounts

    Your ad account settings, billing details, currency, and account status.

    14 fields

  • Ad Analytics

    Daily performance metrics for your campaigns — impressions, clicks, spend, and conversions.

    104 fieldsTime series

  • Campaign Groups

    Top-level containers that group campaigns with shared objectives, budgets, and scheduling.

    14 fields

  • Campaigns

    Individual campaigns defining your targeting, ad format, bid strategy, and budget.

    29 fields

  • Creatives

    The visual and copy elements of your ads shown to members across LinkedIn.

    14 fields

S01 · Step 1

Step 1: Create a Google BigQuery Data Storage

Start by connecting your own Google BigQuery project as a data storage.

  • Use your own BigQuery project and datasets
  • Keep full ownership of LinkedIn Ads data
  • No third-party data warehouses

Connect BigQuery

Step 1: Create a Google BigQuery Data Storage

S02 · Step 2

Step 2: Create a LinkedIn Ads Data Mart

Create a new Data Mart and choose Connector as the definition type.

  • Select LinkedIn Ads as the data source
  • Authorize access using your LinkedIn Ads account

Create Linkedin Data Mart

Step 2: Create a LinkedIn Ads Data Mart

S03 · Step 3

Step 3: Select Fields & Configure Data Import

Choose exactly which LinkedIn Ads data you want to store in BigQuery.

  • Select the appropriate LinkedIn Ads API endpoint
  • Pick required fields such as impressions, clicks, spend, and conversions
  • Define the destination dataset and table name in BigQuery

Configure Data Import

Step 3: Select Fields & Configure Data Import

S04 · Step 4

Step 4: Run & Schedule LinkedIn Ads Data Collection

Once published, control how and when LinkedIn Ads data is imported.

  • Incremental load to import current day data
  • Backfill (custom period) to load historical data
  • All runs are logged and visible in Run History

Run Data Mart

Step 4: Run & Schedule LinkedIn Ads Data Collection

S05 · Step 5

Step 5: Use LinkedIn Ads Data Across BI Tools & AI Insights

Your LinkedIn Ads data is now available in Google BigQuery.

  • Analyze data in Google Sheets or Looker Studio
  • Join LinkedIn Ads data with Facebook Ads, CRM, GA4, or revenue tables
  • Enable AI Insights to ask questions or receive alerts

Activate Your Data

Step 5: Use LinkedIn Ads Data Across BI Tools & AI Insights

What users are saying

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Real things real customers said — each quote pinned to a specific claim, straight from the quotes database.

A3re: trusting AI
Nodari RizunNodari RizunFounder & CEO, Pürblack®
“AI, by the nature of the models, will hallucinate. And because of that, you need something which will create guardrails to ensure that there are no hallucinations, that you can trust your data.”
C9re: one source of truth
Mark SimmonsMark SimmonsCMO, Pürblack®
“We had six or seven different channels and no single source of truth — it was almost impossible, a lot of guesswork.”
E7re: getting time back
Nodari RizunNodari RizunFounder & CEO, Pürblack®
“We regained time. And time is the one resource that never comes back.”

Turn LinkedIn Ads Data into Business Decisions

Schedule a quick walkthrough to see how OWOX Data Marts helps you:

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