Export Facebook Ads to Power BI

Here's how you can connect Facebook Ads to Power BI:

Step 1: Collect data
First, authorize your Facebook Ads account. After that, specify the Ad accounts from where you'd like to load data and the Report type, which is the exact data you'll export.



Select the Report period and the Metrics and dimensions you'll include in your report (required for Reports and insights only).



Click Finish and proceed. Next, press Transformations to move forward.

Step 2: Organize and transform
Preview your data before importing it from Facebook Ads to Power BI. If you'd like to make some modifications, you can do the following:

• Edit, rearrange, hide, or add columns.
• Filter and sort data in the preferred order.
• Create new columns with custom formulas.
• Combine data from different accounts or apps.

By doing so, you ensure the report will be ready for analysis without any further edits to your data.



Once you know the data is accurate, click on Destinations.

Step 3: Load and automate
To actually export Facebook Ads to Power BI, generate the integration URL and paste it into the Power BI desktop app – all according to the in-app instructions.



Return to Coupler.io and click Set a schedule to toggle on Automatic data refresh. Select the desired interval for auto-updates in the corresponding drop-down field. Lastly, press the Save and run importer button.

To make your Power BI report self-update, you must enable automated data refreshes. First, choose the update frequency for your data from monthly, daily, hourly, or even every 30 or 15 minutes. Then, you can adjust the days of the week, time preferences, and the time zone.



By activating this feature, you secure access to the most recent data that constantly corresponds with the ever-changing Facebook Ads records.

Coupler.io offers several import modes for loading data from multiple sources. To benefit from them, click Connect one more source in the Data sources step. Next, complete a process that is pretty much the same as the configuration of the initial source. You can integrate different applications or numerous accounts of the same one within a single importer.

Furthermore, it's possible to blend data from different source apps. So, you can combine Facebook Ads records with data from other channels. After setting up the required sources and moving on to the Transformations step, choose from the following data blending options:

• Append: Merge data elements from one source into another. This feature requires identical column names between datasets.
• Join: Combine datasets side-by-side. At least one identical column in each dataset is required.

By exporting data from multiple applications, you expand your analytics and get a more comprehensive view of your advertising performance.

Impressions
Description: Impressions represent the number of times your ad is displayed to a user. It indicates ad visibility.
How to calculate: Count the total times your ad is shown to users.

Link clicks
Description: Link clicks are the number of times users click on your ad, directing them to various destinations.
How to calculate: Count the total clicks on your ad.

CTR (click-through rate)
Description: CTR measures the frequency of users clicking on your ad after seeing it. This metric demonstrates the relevance and effectiveness of ads.
How to calculate: Divide the total number of clicks by the total number of impressions, then multiply by 100.

Amount spent
Description: Amount spent refers to the expenditure on the ad campaign during a specified period. It shows the campaign's reach and budget distribution.
How to calculate: Determine the total expenditure on the ad campaign.

CPM (cost per mille)
Description: CPM denotes the expense incurred when your ad is displayed a thousand times to users, which is helpful in evaluating cost efficiency.
How to calculate: Divide the total cost of the ad campaign by the total number of impressions, then multiply by 1,000.

Besides the capability to export Facebook Ads to Power BI, Coupler.io enables you to replicate importers to send data to alternative destinations:

• Spreadsheet apps: Google Sheets and Microsoft Excel.
• Data warehousing software: BigQuery, PostgreSQL, and Redshift.
• Other business intelligence (BI) tools: Tableau, Looker Studio, and Qlik Sense.

The import of Facebook Ads data to these applications is quick and straightforward, much like what we previously outlined for Power BI.