How does Kondado replicate LinkedIn data to BigQuery?

Kondado connects directly to your LinkedIn advertising account and organization pages using OAuth authentication to access your data. The platform then extracts information from your selected pipelines and loads it into your BigQuery destination according to the schedule you configure. This process runs automatically in the background, requiring no manual intervention or coding to maintain the data flow.

What specific LinkedIn advertising data can I send to BigQuery?

You can replicate nine distinct pipelines covering Ad Accounts, Ad Statistics, Conversion Statistics, Campaign Metadata, Creative Metadata, and Campaign Group Metadata. This includes 394 fields total, ranging from impression counts and click-through rates to conversion values and campaign budget settings. The data encompasses both performance metrics and structural information about your advertising setup.

How often does LinkedIn data update in my BigQuery warehouse?

Kondado updates your data on a configurable schedule that you set during the initial setup, with options ranging from every 5 minutes to daily intervals. The frequency depends on your specific business needs and the API rate limits of the LinkedIn platform. You can adjust this schedule anytime to balance data freshness with API usage.

Can I combine LinkedIn data with other marketing sources in BigQuery?

Yes, BigQuery serves as a central warehouse where you can join LinkedIn metrics with data from other sources like LinkedIn , Google Sheets , or PostgreSQL . This enables cross-channel analysis, allowing you to compare LinkedIn campaign performance against other advertising platforms or correlate social engagement with CRM records. Marketing teams often use this capability to build unified attribution models across their entire tech stack.

What format does LinkedIn data arrive in within BigQuery?

Each pipeline arrives as a separate dataset with structured fields that maintain the relationships between campaigns, creatives, and performance metrics. The data loads in a format ready for SQL querying, allowing immediate analysis without transformation. You can query Ad Statistics alongside Campaign Metadata using standard BigQuery SQL to understand performance at any organizational level.

Do I need technical skills to set up LinkedIn to BigQuery replication?

No coding is required to establish the connection between LinkedIn and BigQuery through Kondado. The setup process uses a point-and-click interface where you authenticate your accounts and select pipelines visually. While SQL knowledge helps with analysis in BigQuery, the data replication itself requires only business user-level familiarity with your advertising accounts.

Which LinkedIn organic metrics are available for BigQuery analysis?

The Organization Posts and Organization Pages pipelines provide organic performance data including post engagement, reach metrics, follower counts, and interaction rates. This data allows content teams to analyze which organic content drives the most meaningful business engagement. You can track trends in follower growth and content performance over time using the historical data stored in your warehouse.

How do I build reports from LinkedIn data stored in BigQuery?

You can query your LinkedIn datasets directly in BigQuery to create custom analyses, or connect business intelligence tools like Power BI , Looker Studio , or Google Sheets to visualize the data. Many users create automated dashboards that pull from BigQuery to display campaign performance for stakeholders. The SQL-based structure allows for flexible reporting that adapts to your specific KPIs and business questions.

Send data from Linkedin to BigQuery

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Send LinkedIn Data to BigQuery Automatically

Sending LinkedIn data to BigQuery requires connecting your advertising account to Kondado and selecting the specific data pipelines your team needs for comprehensive analysis. The platform handles the replication process automatically, moving your campaign metrics and organic content data into BigQuery on a schedule you configure, from every 5 minutes to daily intervals. Your warehouse maintains current information for sophisticated reporting without requiring ongoing technical maintenance or manual intervention.

Kondado connects LinkedIn directly to BigQuery, offering nine distinct pipelines including Ad Statistics, Conversion Statistics, Campaign Metadata, and Organization Posts. The platform replicates 394 fields of LinkedIn advertising and organic data to your BigQuery warehouse on a configurable schedule, enabling automated data workflows without coding requirements.

With your LinkedIn data in BigQuery, you can combine advertising performance with website analytics, build attribution models that track leads from first touch to conversion, and power Looker Studio dashboards for stakeholder reporting. This setup helps marketing teams and agencies deliver insights faster while maintaining complete control over their data infrastructure and analysis workflows.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

The Ad Statistics pipeline delivers granular metrics on impressions, clicks, and advertising costs that enable precise ROAS calculations and budget optimization directly within BigQuery. When combined with the Conversion Statistics pipeline, you can analyze which campaigns generate actual business value rather than just surface-level engagement. Marketing teams use these datasets to build sophisticated attribution models, joining LinkedIn touchpoints with sales data to demonstrate true campaign impact on revenue. Additionally, the Organization Posts pipeline provides engagement and reach data that content teams can analyze alongside website traffic to measure the full funnel impact of their organic LinkedIn strategy.

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Linkedin data available for BigQuery

available pipelines

394

extractable fields

Available integrations

Integration	Description
Ad Accounts	Unique identifier, status, currency, and notification preferences of ad accounts. Analyze the current status and whether alerts are sent about campaigns.
Ad Statistics	Data on impressions, clicks, and cost of ads. Allows evaluation of campaign performance and optimization of marketing strategies.
Conversion Statistics	Metrics on conversion, including conversion rates and cost per conversion. Essential for measuring the effectiveness of advertising campaigns.
Conversion Information	Details on each conversion, such as source and generated value. Helps understand the impact of campaigns on financial results.
Campaign Metadata	Information on campaigns, including budget, objectives, and status. Allows analysis of targeting and delivery strategy.
Creative Metadata	Data on creatives used, including format and approval status. Essential for optimizing advertising content.
Campaign Group Metadata	Information on campaign groups, such as status and cost type. Allows understanding of the structure and performance of ads.
Organization Posts	Data on posts made by organizations, including engagement and reach. Useful for evaluating the effectiveness of published content.
Organization Pages	Information on organization pages, including followers and interactions. Allows analysis of brand presence and impact.

Ad Accounts

Unique identifier, status, currency, and notification preferences of ad accounts. Analyze the current status and whether alerts are sent about campaigns.

Ad Statistics

Data on impressions, clicks, and cost of ads. Allows evaluation of campaign performance and optimization of marketing strategies.

Conversion Statistics

Metrics on conversion, including conversion rates and cost per conversion. Essential for measuring the effectiveness of advertising campaigns.

Conversion Information

Details on each conversion, such as source and generated value. Helps understand the impact of campaigns on financial results.

Campaign Metadata

Information on campaigns, including budget, objectives, and status. Allows analysis of targeting and delivery strategy.

Creative Metadata

Data on creatives used, including format and approval status. Essential for optimizing advertising content.

Campaign Group Metadata

Information on campaign groups, such as status and cost type. Allows understanding of the structure and performance of ads.

Organization Posts

Data on posts made by organizations, including engagement and reach. Useful for evaluating the effectiveness of published content.

Organization Pages

Information on organization pages, including followers and interactions. Allows analysis of brand presence and impact.

See all available data →

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How to send Linkedin data to BigQuery

Sync data automatically — no code, no manual exports.

Connect LinkedIn Account

Authenticate your LinkedIn advertising account through Kondado's OAuth connection to grant access to your campaign and organic data. Select the specific ad accounts and organization pages you want to replicate to your warehouse.

Configure BigQuery Destination

Set up your BigQuery project and dataset details in Kondado, specifying where the LinkedIn data should land within your Google Cloud environment. Verify the connection to ensure proper permissions for data loading.

Select Pipelines and Schedule

Choose from the nine available pipelines such as Ad Statistics and Conversion Statistics, then set your preferred update frequency from every 5 minutes to daily. Activate the connection to begin automated replication of your selected LinkedIn data.

Try out all the features for free for 14 days