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Facebook Ads to BigQuery

Export Facebook Ads to BigQuery

Integrate Facebook Ads to BigQuery with Coupler.io for large-scale advertising analytics using SQL and machine learning capabilities. Experience granular campaign analysis across historical datasets. Enable advanced attribution modeling with automated data warehouse pipelines.

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What data you can export from Facebook Ads?

Categories:

Reports and Insights

This data category allows you to export insights into your Facebook Ads performance. You'll need to select metrics to include in your report. These include impressions, clicks, click-through rate, cost per click, and more.
List of Sponsored Leads

This data category provides access to leads generated through your Facebook Ads lead forms. It contains details about user submissions, such as contact information (depending on form fields), submission time, and ad or campaign sources. You can use this data to track lead generation performance and integrate it with your CRM or sales workflows.
List of Ad creatives

With this data, you can export all ad creatives available in your Facebook Ads account. It includes information such as creative type (image, video, carousel), text, links, and media details. This dataset helps you review and manage the assets you’ve uploaded or created, regardless of whether they are currently being used in ads.
List of Ad sets

Get an overview of ad sets to track and analyze their efficiency from launch. This data category provides information about ad set statuses, optimization goals, remaining budget, and more.
List of Campaigns

You can access information about each of your Facebook Ads campaigns. This view contains data about the status, stop time, objective, budget, and other details of your advertising campaigns.
List of Ads

With this data, you can create a detailed overview of all your ads running on the Facebook Ads platform. It contains information about ad status, bid amount, issues, and so on.
List of Ads with ad creatives

This data category provides details about ad creatives specifically linked to active or past ads. Unlike the general list of creatives, it only includes the assets actually used in advertisements. You can analyze creative performance together with ad metrics, allowing you to see which images, videos, or texts are driving results.

All-in-one tool for Facebook Ads data exports and analytics

Collect data from Facebook Ads and enrich it with information from other sources

Warehouse Facebook Ads data alongside Google Ads, LinkedIn Ads, and analytics platforms in BigQuery. Build multi-source advertising datasets that power cross-channel performance comparisons and unified attribution models at any scale.

Organize raw Facebook Ads data in the form of a ready-to-use data set

Prepare Facebook Ads exports with proper schema structures, filtered metrics, and aggregated dimensions before loading into BigQuery. Deliver query-ready advertising datasets that minimize transformation overhead in your warehouse environment.

Automate data refresh on a custom schedule

Keep BigQuery tables synchronized with your Facebook Ads account through automated pipelines running on 15-minute, 30-minute, hourly, daily, or monthly intervals. Maintain fresh advertising data without manual intervention or custom ETL scripts.

Connect Facebook Ads data to AI to query and analyze data using natural language conversations

Leverage Coupler.io AI integrations to connect your Facebook Ads data flows to AI tools. Ask natural language questions about campaign performance and receive analytical insights without writing SQL queries.

Why export Facebook Ads to BigQuery - real life cases

Cross-channel advertising warehouse

Centralize Facebook Ads metrics with data from Google Ads, TikTok Ads, and other paid platforms in BigQuery for unified spend analysis. Run SQL queries across all channels to identify which platforms deliver the strongest return on investment and allocate budgets based on warehouse-level insights.

Historical campaign trend analysis

Store months or years of Facebook Ads performance data in BigQuery to detect seasonal patterns and long-term shifts in audience behavior. Apply statistical analysis to impression, click, and conversion trends that help forecast future campaign outcomes and guide budget planning decisions.

Lead generation pipeline analytics

Load sponsored lead data into BigQuery and join it with CRM records to measure true lead-to-customer conversion rates. Build attribution models that connect Facebook lead form submissions to downstream revenue, helping marketing teams justify ad spend with verifiable business results.

Ad creative performance benchmarking

Aggregate creative-level metrics in BigQuery to compare image, video, and carousel performance across campaigns and time periods. Use SQL-based analysis to identify which creative formats and messaging themes consistently drive lower cost per click and higher engagement rates.

How to export Facebook Ads to BigQuery

Step 1. Connect to your Facebook Ads account and select the data to export

30 seconds

Step 2. Organize data using transformation options such as filters, column management, aggregation, etc.

30 seconds

Step 3. Connect your BigQuery project and specify where to load your data

30 seconds

Step 4. Schedule data refresh to automate data flow from Facebook Ads to BigQuery

10 seconds

Automate data exports with the no-code Facebook Ads BigQuery integration

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Talk to AI about your Facebook Ads data

BigQuery gives you the infrastructure to store and query massive advertising datasets, but sometimes you want fast answers without constructing SQL statements. Coupler.io AI integrations let you explore your Facebook Ads warehouse data through natural language conversations, making campaign insights accessible to team members who don't work in SQL every day.

Examples of questions you can ask about Facebook Ads data:
"Which campaigns had the lowest cost per lead over the past six months, and what targeting did they use?"
"Compare weekend versus weekday ad performance across all active ad sets"
"Identify trends in creative engagement rates and flag any significant changes month over month"
"What percentage of our total ad spend goes to retargeting audiences, and how does their conversion rate compare to prospecting?"

Customer success stories

At Coupler.io, our mission is simple: to help our customers succeed by unlocking the full potential of their data. Check out how using Coupler.io has helped businesses like yours scale and achieve better ROI.

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