Supermetrics for BigQuery
Connect LinkedIn Ads to BigQuery — B2B Advertising Data at Warehouse Scale
Move your LinkedIn Ads data into BigQuery for deep B2B analysis. Join ad spend with CRM pipeline data to measure true cost per opportunity and close rates by job title, seniority, and company size.
Why Connect LinkedIn Ads to BigQuery?
Warehouse your LinkedIn Ads data in BigQuery for unlimited historical analysis and cross-source SQL.
Pipeline attribution with serverless SQL
JOIN LinkedIn lead gen data with Salesforce or HubSpot tables already in BigQuery — serverless execution means no cluster to manage, and you pay only for the bytes scanned in each attribution query.
BigQuery ML lead scoring
Train a logistic regression model on LinkedIn lead data using BigQuery ML to predict which job titles and industries convert to pipeline — all in SQL, no separate ML infrastructure needed.
Looker B2B dashboards
BigQuery feeds Looker natively. Build LookML-governed dashboards that drill from campaign group to job function to individual lead, with row-level security per sales team.
How to Connect LinkedIn Ads to BigQuery
Three steps. Under two minutes. Zero code.
- 1
Create a data transfer
Log into Supermetrics, select your data source and BigQuery as your destination.
- 2
Authorize and configure
Connect your data source account, choose your BigQuery project and dataset, and select the data you want to transfer.
- 3
Set schedule and start transfer
Choose your refresh frequency (hourly, daily, or weekly) and click Start. Your data begins flowing into BigQuery automatically.
LinkedIn Ads Data Schema in BigQuery
Supermetrics creates and maintains clean, typed tables automatically. Here's what your LinkedIn Ads data looks like in BigQuery.
Data Freshness & Scheduling
LinkedIn Ads data typically available within 6-12 hours. Daily transfers recommended for B2B reporting.
What LinkedIn Ads Data Can You Pull into BigQuery?
Supermetrics gives BigQuery access to your full LinkedIn Ads reporting data — metrics and dimensions you already know from the LinkedIn Ads interface.
Key Metrics
- Impressions
- Clicks
- Spend
- CTR
- CPC
- CPM
- Conversions
- CPA
- Lead form opens
- Leads
- Lead form completion rate
- Video views
- Video completions
- Social actions
- Engagement rate
Key Dimensions
- Campaign name
- Campaign group
- Creative name
- Ad format
- Objective type
- Company name
- Company industry
- Company size
- Job title
- Job function
- Seniority
- Location
Resources & Guides
Why Supermetrics for BigQuery?
Purpose-built for marketing data since 2009. 200,000+ companies trust Supermetrics to move 15% of global ad spend into reporting and analytics destinations.
No Vendor Lock-In
Your data lands in BigQuery — infrastructure you own and control. Use any BI tool, any transformation layer, any ML platform. If you ever switch providers, your data and dashboards stay with you.
170+ Marketing Data Sources
Purpose-built for marketing data — not a generic ETL tool. Supermetrics covers 99% of metrics and dimensions from each source, with pre-structured tables ready for analysis. No transformation layer required.
Managed Schema
Supermetrics creates and maintains your LinkedIn Ads tables automatically. Schema changes from the source API are handled for you — no broken pipelines, no manual migrations.
Your Data, Your Infrastructure
Supermetrics moves data directly to your destination — nothing is stored on our servers. SOC 2 Type II certified, GDPR and CCPA compliant. Your data stays in infrastructure you control, simplifying privacy and compliance reviews.
Flat-Rate, Predictable Pricing
Fixed annual pricing regardless of data volume — no per-row charges, no surprise bills during peak campaign seasons. Transfer as much LinkedIn Ads data as you need without worrying about cost spikes.
No Data Limits
Query any date range, any number of campaigns, any level of granularity. No row limits, no sampling, no restrictions on the data you can pull.
Frequently Asked Questions
How do I connect LinkedIn Ads to BigQuery with Supermetrics?
Log into the Supermetrics Hub, create a new data transfer, select LinkedIn Ads as the source and BigQuery as the destination. Authorize your LinkedIn Ads account, choose your BigQuery project and dataset, pick the fields you want, set a schedule, and start the transfer. No code or SQL knowledge required — Supermetrics creates and manages the tables automatically.
Is my LinkedIn Ads data secure when transferring to BigQuery?
Supermetrics is SOC 2 Type II certified and fully GDPR compliant. All LinkedIn Ads credentials are encrypted at rest and in transit. Data flows directly from the LinkedIn Ads API to your own BigQuery project — Supermetrics does not store your marketing data on its servers. Your BigQuery IAM policies control who can access the tables.
Can I combine LinkedIn Ads data with other sources in BigQuery?
That is one of the biggest advantages of warehousing your data. Once LinkedIn Ads lands in BigQuery, you can JOIN it with any other table — GA4 sessions, CRM deals, revenue data, other ad platforms — using standard SQL. Supermetrics supports 170+ data sources, and they all land in the same BigQuery project for easy cross-source analysis.
What LinkedIn Ads metrics and dimensions are available in BigQuery?
All standard LinkedIn Ads reporting fields are available, including Impressions, Clicks, Spend, CTR, CPC, CPM, and many more. You select exactly which metrics and dimensions to transfer during setup, and you can add or remove fields at any time without losing historical data.
How fresh is LinkedIn Ads data in BigQuery?
Data freshness depends on your transfer schedule. You can run transfers hourly, daily, or weekly. Most users schedule daily transfers so yesterday's complete data is ready each morning. Supermetrics uses incremental loading — only new and updated records are transferred — so even large accounts refresh quickly.
Does it include LinkedIn Lead Gen Form data?
Yes. Lead form opens, completions, completion rates, and cost per lead are all available as metrics.
Can I break down by professional demographics?
Yes. Job title, function, seniority, company size, and industry are available as dimensions.
Also Connect to BigQuery
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