Own Your LinkedIn Ads Data

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.

Connect

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
Step 1: Create a Google BigQuery Data Storage
Step 1: Create a Google BigQuery Data Storage
Step 2: Create a LinkedIn Ads Data Mart
Create

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
Step 2: Create a LinkedIn Ads Data Mart
Configure

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
No third-party data warehouses
Step 3: Select Fields & Configure Data Import
Step 3: Select Fields & Configure Data Import
Step 4: Run & Schedule LinkedIn Ads Data Collection
Run

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
Step 4: Run & Schedule LinkedIn Ads Data Collection
Activate

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

Every claim has a receipt.

Stats with comment threads attached — like a colleague verifying your numbers in a shared sheet.

170,000
Users on OWOX Platform — and growing 40% year-over-year.
B2
cell "users on platform"
SM
Sarah M.
Head of Analytics, Retail
3d ago

We migrated 200+ reports from Looker to OWOX Data Marts. Our team now self-serves without filing a single Jira ticket. Easily the best infrastructure decision we made this year.

✓ Verified
12 min
Median time-to-first-report for new OWOX users. No onboarding calls required.
C4
cell "time to first report"
DL
David L.
Data Lead, SaaS
Sarah M.

Connected BigQuery, set up 37 data marts, built a data model and had live reports in Sheets in under 15 minutes. My team thought I was joking when I showed them how they can now get live reports right in their sheets.

✓ Verified
Self-service analytics

Turn LinkedIn Ads Data into Business Decisions

Google Sheets were never designed to be a system of record. With OWOX Data Marts, Sheets becomes a trusted analysis layer — powered by governed data marts defined upstream in your warehouse.

Business teams keep the flexibility they love
Data teams retain control over logic and definitions
No more fragile joins duplicated across spreadsheets
See how it works