You can connect Facebook Ads to Power BI in about 5 minutes using Windsor.ai’s no-code connector — select Facebook Ads as your data source, choose Power BI as the destination, and your campaign data loads automatically — no manual exports, no CSVs, just a URL you paste once.
Having fresh Meta Ads (Facebook Ads) data in Power BI is especially useful if you’re investing heavily in Facebook and Power BI is your central reporting platform. Here’s the full step-by-step process.
Detailed information about Facebook Ads and Power BI
About Power BI
Power BI isn’t just a visualisation tool, it is a service offered by Microsoft, it has a very simple interface and in addition to visualisations it also has business intelligence capabilities. There is a Power BI desktop and a Power BI web service, you can use either or both depending on your preference.
You can create interactive reports and model your data as you prefer and if you have used any Office product, working in Power BI will come naturally to you.
About Facebook Ads
Facebook Ads, via Meta Ads Manager is the platform that allows you to use Facebook as a marketing tool. You can target users based on their geolocation, their gender, age or a range of other characteristics. It is possible to build custom audiences, but it is also possible to build audiences based on their interests as well as lookalike audiences.
A lookalike audience is an audience which is created by Facebook based on an existing audience data provided by you. Facebook uses the data it has on the existing base audience to create a group that matches it. If the base audience are your customers, it is likely that the lookalike audience will have a high conversion rate.
If your goal is to collect leads, Facebook Ads supports that too — and the same connection process below covers lead data just as well as standard campaign metrics.
How to start with Facebook Ads and Power BI Connector?
The whole process should not take more than 5 minutes and you can choose between >200 different dimensions and metrics from Facebook Ads.
As a prerequisite, you’ll need a Windsor.ai account which you can get here.
Option One
1. First, you need to select Facebook Ads as Data Source and Grant Facebook Access to Windsor.ai.

2. Go to “Select Destination” and Choose Power BI Desktop/Web

3. Select the fields on the right, and in Power Bi click on “Get data” from WEB.

4. And copy the URL in the box below:


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Option Two
- Install the Power BI Web App
- Follow the instructions on the Connect Your Data page

- Connect Facebook Ads on https://onboard.windsor.ai/register
- Click on Connect your data on the top of the page, on the yellow background.

- Enter your API key which you can get here

- On the next screen click on Sign In
- Your data should be loading now. Depending on your data size this may take a minute or two.
What data can I investigate with Power BI Facebook Ads report?
If you go back to step 3 you will see the default fields that you can analyse, but that’s just a fraction of what is actually available to you. Namely, you can analyse every metric that is available in Meta Ads Manager (Facebook Ads Manager), so whether that is cost per mile, conversions, or you would like to separate your audience by geo, gender, or age, all of that will be possible with our solution.
Let’s say that you want to see how your campaign performed in different countries or regions. You can customise your Meta Ads Manager (Facebook Ads Manager)data and once you integrate it into Power BI you can visualise and directly see the difference between conversions, cost per mile, CPC and every metric that you want to compare.
Meta Ads Manager (Facebook Ads Manager) offers access to an amazing set of categories and metrics, but it is not a visualisation tool and even if you download the reports and open them in Excel or Google Sheets, it still wouldn’t be very presentable.
Once you connect Facebook Ads to Power BI you will be able to present your data and findings in a much user-friendlier manner even to people who are not familiar with the marketing side of Facebook.
Free Power BI Meta Ads (Facebook Ads) Dashboard Templates
- Microsoft Power BI Multichannel Marketing Attribution Dashboard Template
- Power BI Facebook Ads Report Dashboard Template
- Power BI Facebook Ads vs Google Ads Report Template
- Power BI Facebook Leads Report Dashboard Template
- Power BI Paid Media Overview Dashboard Template
- Power BI Paid Social Overview Dashboard Template
- Power BI Paid Web Media Overview Dashboard Template
Why to choose Windsor.ai
Windsor.ai is an ETL platform that extracts your Facebook Ads data, transforms it, and loads it into Power BI automatically. That means faster decision-making without spending time manually wrangling the data yourself.
Promptly abstract marketing data from Facebook Ads in just a few clicks.
Associate data from multiple resources with 350+ connectors to commission your marketing team. Here are a few advantages:
- The average G2 Review score is an impressive 4.8 out of 5.
- ETL (Extract – Transform – Load) capability is provided for all data destinations, including databases, across all plans.
- All connectors are accessible across all plans, without the need for premium subscriptions.
- A wide selection of marketing dashboard templates is available for use.
- The platform is SOC 2 Type 2 certified and supports both single sign-on and multi-factor authentication.
- Support is provided through both email and live chat channels.

Get started for free
Access all your data from your favorite sources in one place.
Free forever plan, no credit card
FAQs
How can I pull data from the Facebook API into Power BI?
Yes, but it’s a much heavier lift than the Windsor.ai method described above. The direct API route means building your own integration from scratch:
1. Create a Facebook Business App
Set up a Facebook Business App to generate an access token for the Facebook Ads API.
2. Write code for the integration
You’ll need to write code (commonly Python, using libraries like urllib3, facebook, and requests) to pull data from the Facebook Ads API and load it into a SQL database.
3. Run the code on a schedule
You’ll need a cloud platform (Google Cloud, AWS, or similar) to host and run this job on an ongoing basis.
4. Connect Power BI to your database
Once your data is stored in the SQL database, use one of Power BI’s built-in connectors to pull it in for analysis.
That’s real engineering work – a Business App, custom code, a hosted job, and a database to maintain. Windsor.ai’s connector does the same thing in a few clicks, with no code and no infrastructure to manage.
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