How to Import Facebook Cost into Google Anatlyics

Learn how to import your spend data from Facebook into Google Analytics which can be very helpful in analyzing attribution.

Alex Lynn

Alex is a Senior eCommerce Analyst at Elevar and has been in the eCommerce industry in the Shopify and Magento ecosystems for a number of years. His many personal interests include entrepreneurship, basketball, and podcasting.

Importing your spend data from Facebook into Google Analytics can be very helpful in analyzing attribution.

With this Facebook cost data in GA, the model comparison report is enriched because of having ROAS information on Facebook traffic in addition to your Google CPC.

How to Import Facebook Cost Data into Google Analytics:

1. Sign Up for Supermetrics Uploader

We use Supermetrics to schedule imports from Facebook to Google Analytics. Once you sign up for their uploader product you’ll be able to connect a Facebook Business Manager and Google Analytics account to the platform. This will be the engine that does the heavy lifting so you don’t have to!

2.  Create a New Data Import in GA

After you have signed up head into your  Google Analytics admin screen and select new data import. Select “Cost Data” data set type. We typically name ours “FB Cost” but feel free to choose your own name.  You can save the Data Scheme with just cost – this step does not matter because Supermetrics overrides these fields.

3.  Set up the Uploader to Send Data

Head back to the Supermetrics platform to the uploader. You’ll select your connected Facebook account and Google Analtyics account. The custom data import you set up in the previous step will show up automatically near your Google Analytics account you’ve selected.



4. Schedule the Upload

We typically schedule the historical upload and then a daily one moving forward and you’re all set.


After you have this data in your Google Anatlyics account it will be available as a metric in custom reports.

Try creating your own custom attribution model with our step by step guide to enhance the use of this new data!

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