How does Kondado replicate Facebook Ads data to BigQuery?

Kondado uses a direct integration to extract data from your Facebook Ads account via API and load it into your specified BigQuery dataset. You authenticate through the Kondado interface, select from 14 available pipelines such as Campaign Performance or Ad Metadata, and the platform handles schema creation and data loading automatically on your chosen schedule.

What Facebook Ads metrics and dimensions are available in BigQuery?

Kondado replicates 1,569 fields across 14 pipelines including Campaign Performance metrics like impressions and cost per acquisition, Ad Performance data such as clicks and conversions, and Lead Forms information. The pipelines also cover Page Metrics, Post Metrics, and account-level data, giving you comprehensive access to both advertising and organic content performance.

How often does Facebook Ads data update in BigQuery?

You configure the update frequency based on your analytics needs, with options ranging from every 5 minutes for near-real-time monitoring to hourly or daily updates for trend analysis. Each pipeline runs independently on your chosen schedule, ensuring your BigQuery dataset reflects the latest advertising activity without manual intervention.

Can I combine Facebook Ads data with other marketing sources in BigQuery?

Yes, Kondado enables you to replicate data from multiple sources into the same BigQuery project for unified analysis. You can join Facebook Ads data with Google Ads campaigns, Salesforce leads, or e-commerce transactions to create cross-channel attribution models and comprehensive marketing dashboards.

Are there pre-built dashboards available for Facebook Ads data?

Kondado offers pre-built report templates including the Meta Ads Looker Studio Report and Meta Ads Power BI Report, which visualize your replicated data immediately. These templates connect directly to your BigQuery dataset to display campaign performance, audience insights, and ROI metrics without requiring you to design charts from scratch.

What BigQuery data format does Kondado use for Facebook Ads replication?

Kondado loads Facebook Ads data into BigQuery as structured datasets with optimized schemas for each pipeline, preserving data types for metrics, dimensions, and timestamps. The platform handles nested JSON structures from the Facebook Marketing API and flattens them into query-friendly columnar format, ready for SQL analysis or connection to business intelligence tools.

Which Facebook Ads pipelines support lead generation analysis?

The Lead Forms pipeline specifically captures form fields, submission status, and lead data from your Facebook campaigns, while Campaign Performance and Ad Performance pipelines provide the cost and impression data needed to calculate cost per lead. By joining these datasets in BigQuery, you can analyze lead quality by campaign, optimize form conversion rates, and track lead progression through your sales funnel.

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Send Facebook Ads Data to BigQuery Automatically

Sending Facebook Ads data to BigQuery requires no engineering effort when you use an automated data replication platform. Kondado connects directly to your Facebook Ads account and replicates advertising metrics, campaign performance, and audience data to your Google Cloud data warehouse on a configurable schedule. You simply authenticate your data source, select BigQuery as your destination, and define which pipelines to activate from the 14 available options including Campaign Performance and Ad Metadata.

Your dataset stays current without manual CSV exports, API maintenance, or script management, allowing analysts to focus on insights rather than data plumbing while ensuring your reporting infrastructure scales automatically with your advertising spend.

Kondado provides a direct integration between Facebook Ads and BigQuery, offering 14 available pipelines that replicate 1,569 fields including campaign performance, ad metadata, and lead form data. The platform updates your BigQuery dataset automatically on schedules ranging from every 5 minutes to daily, enabling near-real-time analytics without coding or infrastructure management.

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

Available Pipelines for Analysis

Once your Facebook Ads data lands in BigQuery, you can analyze Ad Performance pipelines to calculate true ROI by joining cost per click data with conversion metrics from your CRM. The Campaign Performance and Ad Set Performance pipelines enable granular budget allocation analysis, helping you identify which targeting strategies drive the highest engagement across Facebook and Instagram placements. Marketing teams combine this advertising data with sales figures in BigQuery to build comprehensive attribution models that reveal the complete customer journey from impression to revenue.

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Facebook Ads data available for BigQuery

available pipelines

1569

extractable fields

Available integrations

Integration	Description
Ad account performance	Analyze account performance with metrics such as total spend, account status, and age of the account.
Ad accounts	View information on ad accounts, including name, account ID, and account status.
Ad metadata	Explore ad details such as ad ID, account ID, and ad set name.
Ad performance	Evaluate ad performance with metrics such as impressions, clicks, and cost per click.
Ad preview	Preview ads including creative content and targeting settings.
Ad set performance	Analyze ad set performance with metrics such as impressions, clicks, and total cost.
Adset metadata	Examine ad set metadata including ID, name, and status.
Campaign metadata	View campaign metadata such as campaign ID, name, and status.
Campaign performance	Analyze campaign performance with metrics such as impressions, clicks, and cost per acquisition.
Lead forms	Examine lead forms including fields, status, and captured data.
Page Metrics	Analyze impressions, clicks, and engagement of the page, including fields like page name, business city, and account status.
Page: Posts	Examine post performance with metrics such as impressions, clicks, post ID, and ad set name.
Pages	Provides information about pages, including business name, address, and account status, allowing an overview of operations.
Post Metrics	Evaluate post performance with metrics such as clicks, impressions, and cost, along with ad ID and ad set ID.

Ad account performance

Analyze account performance with metrics such as total spend, account status, and age of the account.

Ad accounts

View information on ad accounts, including name, account ID, and account status.

Ad metadata

Explore ad details such as ad ID, account ID, and ad set name.

Ad performance

Evaluate ad performance with metrics such as impressions, clicks, and cost per click.

Ad preview

Preview ads including creative content and targeting settings.

Ad set performance

Analyze ad set performance with metrics such as impressions, clicks, and total cost.

Adset metadata

Examine ad set metadata including ID, name, and status.

Campaign metadata

View campaign metadata such as campaign ID, name, and status.

Campaign performance

Analyze campaign performance with metrics such as impressions, clicks, and cost per acquisition.

Lead forms

Examine lead forms including fields, status, and captured data.

Page Metrics

Analyze impressions, clicks, and engagement of the page, including fields like page name, business city, and account status.

Page: Posts

Examine post performance with metrics such as impressions, clicks, post ID, and ad set name.

Pages

Provides information about pages, including business name, address, and account status, allowing an overview of operations.

Post Metrics

Evaluate post performance with metrics such as clicks, impressions, and cost, along with ad ID and ad set ID.

See all available data →

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How to send Facebook Ads data to BigQuery

Sync data automatically — no code, no manual exports.

Connect your Facebook Ads account

Authenticate your Facebook Ads data source in Kondado by providing your credentials and selecting the ad accounts you want to replicate. The platform automatically detects available permissions and validates API access to ensure seamless data extraction.

Configure your BigQuery destination

Set up your BigQuery destination by specifying your Google Cloud project ID, dataset name, and service account credentials. Kondado tests the connection to verify write permissions and creates the necessary dataset structure if it does not already exist in your data warehouse.

Select pipelines and schedule

Choose from the 14 available pipelines such as Campaign Performance or Ad Metadata, then set your update frequency from every 5 minutes to daily depending on your reporting needs. Activate the replication to begin automated data flows that keep your BigQuery dataset synchronized with your latest Facebook advertising activity.

Try out all the features for free for 14 days