Facebook Ads to Google Data Studio

This page provides you with instructions on how to extract data from Facebook Ads and analyze it in Google Data Studio. (If the mechanics of extracting data from Facebook Ads seem too complex or difficult to maintain, check out Stitch, which can do all the heavy lifting for you in just a few clicks.)

What is Facebook Ads?

Facebook Ads are ads served up to Facebook users based on their activity, demographic information, device use information, advertising and marketing partner-supplied information, and off-Facebook activity. The platform includes reporting tools that let you see what impact your ads have.

What is Google Data Studio?

Google Data Studio is a simple dashboard and reporting tool. It's free and easy to use, but it lacks the sophisticated features of higher-end reporting software. Many of the connectors it supports are for Google products, but third parties have written partner connectors to a wide variety of data sources. Its drag-and-drop report editor lets users create about 15 types of charts.

Getting data out of Facebook

Data can be retrieved programmatically via the Facebook Ads Insights API, which is available to anyone who uses the platform. Don't confuse this with the API Facebook offers for placing and managing ads, which is not relevant to our purposes.

By following the process in the API documentation, you can make calls to the Ads Insights API to retrieve your data. You'll have access to endpoints such as impressions, clickthrough rates, and CPC, all broken out by time period.

Sample Facebook Ads data

Below is an example of what that response might look like when you query the Ads Insights API.

{
   "data": [
      {
         "impressions": "1862555",
         "adset_name": "My ad set",
         "cost_per_action_type": [
            {
               "action_carousel_card_name": "My Carousel Card 1",
               "action_type": "app_custom_event.fb_mobile_activate_app",
               "value": 0.093347346315861
            },
            {
               "action_carousel_card_name": "My Carousel Card 2",
               "action_type": "app_custom_event.fb_mobile_activate_app",
               "value": 0.38324089579301
            },
            ...
         ],
      }
   ]
}

Loading data into Google Data Studio

Google Data Studio uses what it calls "connectors" to gain access to data. Data Studio comes bundled with 17 connectors, mostly to pull in data from other Google products. It also supports connectors to MySQL and PostgreSQL databases, and offers 200 connectors to other data sources built and supported by partners.

Using data in Google Data Studio

Google Data Studio provides a graphical canvas onto which users drag and drop datasets. Users can set dimensions and metrics, specify sorting and filtering, and tailor the way reports and charts are displayed.

Keeping Facebook Ads data up to date

At this point you've coded up a script or written a program to get the data you want and successfully moved it into your data warehouse. But how will you load new or updated data? It's not a good idea to replicate all of your data each time you have updated records. That process would be painfully slow and resource-intensive.

Instead, identify key fields that your script can use to bookmark its progression through the data and use to pick up where it left off as it looks for updated data. Auto-incrementing fields such as updated_at or created_at work best for this. When you've built in this functionality, you can set up your script as a cron job or continuous loop to get new data as it appears in Facebook Ads.

And remember, as with any code, once you write it, you have to maintain it. If Facebook modifies its API, or the API sends a field with a datatype your code doesn't recognize, you may have to modify the script. If your users want slightly different information, you definitely will have to.

From Facebook Ads to your data warehouse: An easier solution

As mentioned earlier, the best practice for analyzing Facebook Ads data in Google Data Studio is to store that data inside a data warehousing platform alongside data from your other databases and third-party sources. You can find instructions for doing these extractions for leading warehouses on our sister sites Facebook Ads to Redshift, Facebook Ads to BigQuery, Facebook Ads to Azure SQL Data Warehouse, Facebook Ads to PostgreSQL, Facebook Ads to Panoply, and Facebook Ads to Snowflake.

Easier yet, however, is using a solution that does all that work for you. Products like Stitch were built to move data automatically, making it easy to integrate Facebook Ads with Google Data Studio. With just a few clicks, Stitch starts extracting your Facebook Ads data, structuring it in a way that's optimized for analysis, and inserting that data into a data warehouse that can be easily accessed and analyzed by Google Data Studio.