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npm installs[3]
Self-managed OWOX Edition from GitHub
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
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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