ETL Facebook Ads data to Google BigQuery

Source
Destination
Renta ELT is a simple way to create data pipelines in minutes. Not months.

Facebook Ads is a leading platform for reaching and engaging your target audience.
Renta Marketing ETL seamlessly transfers your Facebook Ads data to Google BigQuery, empowering your team with up-to-date, actionable insights.
Enjoy automated, secure data integration that accelerates marketing analytics and decision-making.

Set up your ELT pipeline in 3 simple steps

Select Facebook Ads as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Facebook Ads as the data source in Renta.
1Connect your source

Select Facebook Ads as your data source and securely authenticate your account to initiate the data extraction process.

Selecting Facebook Ads as the data source in Renta.
2Identify the destination
3Configure and synchronize
The data structure of the Facebook Ads API

Renta supports 7 methods of data export using the Facebook Ads API.

Ad Accounts

Represents the core entity for managing Facebook advertising activities, containing account-level information such as account ID, status, currency, spending limits, and user permissions.

Campaigns

Provides access to campaign-level data, including campaign objectives, status, budget, start and end dates, and performance metrics at the campaign level.

Ad Sets

Contains details about ad sets within a campaign, such as targeting parameters, bid strategy, schedule, budget allocation, and delivery status.

Ads

Delivers information about individual ads, including creative assets, ad format, status, and performance metrics like impressions, clicks, and conversions.

Insights

Returns aggregated performance data and analytics across campaigns, ad sets, and ads, including metrics such as reach, frequency, spend, and conversion rates.

Creatives

Provides access to ad creative assets, including images, videos, text, and templates used in ads, along with associated metadata.

Audiences

Manages custom and saved audiences for targeting, containing demographic, behavioral, and interest-based segmentation data.

Use cases

Unlock actionable Facebook Ads insights

  • Track Facebook Ads ROI by blending spend data with e-commerce sales in BigQuery
  • Identify top-performing creatives by analyzing ad metrics across campaigns in BigQuery
  • Automate daily reporting of Facebook Ads KPIs for multiple brands in one dashboard
  • Detect audience overlap and optimize targeting using unified user data in BigQuery
  • Forecast campaign performance by combining Facebook Ads and historical sales data
  • Correlate ad impressions with website conversions for granular attribution analysis
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Use cases: Facebook Ads and Google BigQuery integration
Frequently asked questions
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