Import Bing Ads data into Google Analytics 4

If you promote your website using Bing Ads and other advertising services, you can easily and conveniently analyze and compare the performance of those campaigns in Google Analytics 4.

Bing Ads -> GA4

Tracking Bing Ads in Google Analytics 4 is an easy and convenient way to evaluate the performance of your Microsoft Ads campaigns, analyze, compare with the other ads platforms, optimize cross-channel budget allocation and pinpoint marketing opportunities.

In this updated article, we explain how to get your data from Bing Ads loaded into Google Analytics 4, how you can use dynamic URL parameters to gain deeper understanding of your campaign's performance and how to automate your marketing reporting.

Bing Ads reports in Google Analytics 4

To see data from Bing Ads campaigns in GA4 reports, you need to add UTM tags to your ad links and set up cost data importing. After that, you can:

Traffic Acquisition Report

Track the number of users, number of conversions or transactions, and total revenue from Bing Ads campaigns and compare this data with data on traffic from other sources - for example twitter ads.

Report: Reports → Life cycle → Acquisition → Traffic acquisition
Report: Reports → Life cycle → Acquisition → Traffic acquisition

Non Google Cost Report

Analyze the effectiveness of different advertising channels by comparing clicks, impressions, costs, CPC, and ROAS​

Report: Reports → Life cycle → Acquisition → Non Google cost
Report: Reports → Life cycle → Acquisition → Non Google cost

All Channels Report

See how many conversions Bing or Microsoft Ads brought to your website.

Report: Advertising → Performance → All channels
Report: Advertising → Performance → All channels

Conversion paths Report

In the attribution report, you can see the conversion paths, and evaluate the effectiveness of Bing Ads in the whole user journey.​

Report: Advertising → Attribution→ Conversion paths
Report: Advertising → Attribution→ Conversion paths

Custom Reports

You can also create your own custom reports with the metrics, filters, and segments you need to evaluate the performance of your advertising or marketing overall – for example, to compare ROAS across all paid campaigns.​

Automate your entire marketing reporting with OWOX BI!

How to add UTM tags to advertising campaign links

UTM tags are code snippets that are appended to ad campaign links and contain information about the traffic source, ad campaign, ad keywords, etc. When a person follows a link to your website that contains UTM tags, all this information can be tracked by your web analytics system.

In Bing Ads, UTM parameters are called the final URL suffix, which is a feature that allows you to track specific information about your ad’s performance. By adding a URL parameter field to the end of your landing page URL, you can include variables such as keyword, match type, and ad ID.

However, manually creating a UTM codes for each ad campaign via Google’s Campaign URL Builder tool may not be the best direction to follow.

Create trackable URLs for your marketing campaigns

If you’re looking to really win your marketing game, you need the robust tracking with dynamic URL parameters, that can provide you with even more detailed information in Google Analytics 4. Additionally, you can generate hardcoded values on the ad level, which saves time and streamlines the tagging process.

The great thing about the final URL suffix is that it can be added at various levels, including the account, campaign, ad group, ad, and keyword levels. However, to get the most out of this feature, it’s best to leverage Bing Ads’ dynamic URL parameters and set the final URL parameters at the account level.

To do this, go to your Microsoft ads account, click on settings in the left bar and select Account Level Options.

<i>Alt: Account level options Bing Ads</i>

Next, find Auto-tagging of UTM below and check the box next to Add UTM tags to my destination URLs to enable automated configuration of the landing page URLs.

If you’ve already manually added tags to your campaigns, select Keep my existing tags and add that are missing. Bing Ads will keep the old codes and just add the missing ones. If you haven’t created UTM tags yet or you want to completely replace your existing tags with automatically generated ones, select the Replace all existing tags option.

Also, allow auto-tagging of your campaigns with Click ID (MSCLKID) to allow conversion tracking so the ad platform can learn from your conversions and optimize ads for better performance.

Don't forget to save the changes by clicking the Save button below.

Also, you can fill in the Final URL suffix with the parameters you want to use, or keep it clean if you want Bing Ads to configure UTM tags by default.

After that, the Bing Ads system will automatically add the following UTM tags to all target URLs in your ad campaigns:

UTM tag



The source that brought traffic to your site — in this case, bing


What channel was used. For paid advertising — it's typically CPC


What campaign did the user come from


Which ad group the user came from


What keyword brought the user to your site


What was the campaignID of the campaign that triggered the ad

For example, a link for a paid campaign in Bing Ads might look like this:

Now that we have the necessary values, let’s construct a final URL parameter that will provide detailed insights to effectively track Bing Ads in Google Analytics 4.















Unfortunately, as of today, you won't be able to measure results on the ad group or keyword level in Google Analytics 4. This is the GA4 limitation.

If you are tired of manual reporting, and you need to get the ROAS & CPO reports built with the keyword level granularity - stay on top of your ad performance with OWOX BI.

Boost your ROI by optimizing campaigns based on insights from UTM

Note: If your site doesn’t support autodistribution, you’ll need to add UTM tags manually. You can learn more about how to do this in the Google Analytics 4 help section.

How to upload cost data from Bing Ads to Google Analytics 4

Just imagine, with the power of UTM tags, you'd have insider knowledge on which campaigns are effectively driving users to your site! Isn't that a game-changer?

But it won’t show the advertising return for Bing Ads – for that, you’ll need cost data that are available in your Microsoft Ads Account.

This data can be uploaded to Google Analytics 4 in several ways. In this article, we’ll look at two ways, starting with the simplest and most convenient.

Measure CPL, CPA & ROAS in Google Analytics 4

Method 1. Manually import cost data

Let’s start with the manial way of importing cost data into Google Analaytics 4.

You can prepare a CSV file with your bing ads cost data and manually upload it to Google Analytics 4. You’ll have to repeat this procedure each time you need fresh reports (eg. every day, once a week) and you will have to follow exactly the same process for all of the other non-google advertising platforms you use to drive traffic to the website.

Step 1. Create a report with cost data from Bing Ads

In the Reports tab, go to Default Reports and select the Campaign report name and Perfromance report type.

First, modify the list of columns by adding the Date field to split the data by day.

Then specify the reporting period,

Finally, schedule the delivery frequency by setting up:

  1. Toggle scheduling
  2. Select frequency
  3. Select the time
  4. Add your email address to get the report
  5. Select format in which you’ll upload the file (typically csv)
  6. Check the box to Include report as an email attachment

After that, click the Download button to download the CSV file with the data you've selected.

Open it, add the missing ga: source and ga: medium columns, and fill them with the values bing and cpc respectively. Rename the rest of the columns in the file so they match the Google Analytics datasheet:

  1. ga:date
  2. ga:medium
  3. ga:source
  4. ga:adcost
  5. ga:adclicks
  6. ga:impressions
  7. ga:campaign
  8. ga:campaignid
  9. ga:keyword

You’ll also need to edit the date format. Bing Ads reports use the dd/mm/yyyy format.

NOTE: The date must be changed to yyyymmdd format to be accessible by GA4

As a result, you’ll get something like this table:

Save the table in CSV format to upload it to Google Analytics 4 dataset.

Step 2. Create a dataset in Google Analytics 4 and upload your cost data

Open the admin panel in your Google Analytics 4 account, select Import data in the resource settings, and click the Create button:

Give a name to the dataset – for example, “Bing Ads cost data” – and select Cost data:

Choose the import source. In this case it will be Manual CSV upload and upload CSV file and click Next:

Now you need to decide on the schema for the loaded data. By default, there are five required parameters: date, campaign channel, campaign source, campaign name, and campaign ID. Add other metrics you want to see in your reports, such as cost, clicks, impressions. You need to map imported and analytics fields and click Import.

If all the fields are filled in correctly, you’ll see a message saying that the upload was successful.

Otherwise, Google Analytics 4 will report an error and show what needs to be fixed. Your data will appear in GA4 reports within 24 hours.

Sounds too complicated to repeat this process again and again manually, but you still want to measure the Bing ad performance and compre with other traffic sources in Google Analytics 4 interface? Hack yes, let’s automate this whole process just one time and get the fresh data uploaded to GA4 for reporting daily.

Non-Google Cost
Start Free Trial

Method 2: Automatically import Bing Ads cost data into GA4

In Google Analytics 4, create a dataset into which waste from the advertising service will be loaded.

Step 1. Set up automated Bing Ad Cost data collection into BigQuery

Start OWOX BI FREE Trial and in the Pipeline tab, click Create NEW Pipeline. Select Bing Ads as the data source:

Grant access to your Bing Ads and Google BigQuery accounts, select the dataset to which the ad expenses would be uploaded, and click Next.

Specify the date from which to start importing Bing Ads cost data and click Create pipeline.

Step 2. Prepare your data for GA4

As we’ve mentioned in the previous method of manual import, the structure of the Bing Ads Cost data is different from the Google Analytics 4 data structure.

That’s why you need to transform the data, merge with the other platforms’ cost data (eg. Facebook ads or Twitter ads data) prepare for reporting, make them GA4 accessible.

That’s why we’ve prepared a data transformation template to blend cost data from multiple sources together and make them GA4-accessible.

Open the Workspace page, click on the ‘New’ button, and select the ‘Transformation’ item.

On the next screen, you will see a bunch of prebuilt Templates. In order to get your Bing Ads costs into GA4, select ‘Blended Adspend + GA4 Cost Data Import’ template.

Choose this template and you’ll get a BigQuery table with the the required data formated in Google Analytics 4 structure. Click the ‘Create transformation’ button.

Just follow the steps you see on the screen and schedule your transformation to run every day at 7 am or so.

Step 3. Setting up the Google BigQuery → Google Analytics 4 (via SFTP) pipeline

1. On the Workspace page, click the ‘New’ button and select the 'Pipeline' option in a drop-down menu:

2. As a source, select 'Google BigQuery':

3. Choose pipeline 'Google Analytics 4 (via SFTP) → Google BigQuery':

And click the 'Create & Setup' button:

4. The new pipeline has been successfully created in ‘Draft’ status. To start data import, you'll need to configure pipeline settings, including the source of your data, SFTP server configuration, and destination data format.

5. Set up source data:

5.1. Click on the ‘Source data’ section.

5.2. In the opened dialog, click on the ‘Select a dataset’ section.

5.3. Then you will see another dialog, where you can choose one of the shared datasets in the list. If this list is empty, or you didn’t find the desired dataset, you can click the ‘Grant access…’ button and add a new dataset following the instructions.

5.4. Click the ‘Save’ button to close the second dialog.

5.5. Specify the BigQuery table, where you have prepared data for importing to Google Analytics 4.

5.6. Click the ‘Save’ button to apply your changes.

5.7. If all is done correctly, the dialog will close, and in the "Source data" section you will see a green marker with the name project.dataset.table.

6. Configure SFTP-server in combination with creating a new Data source in Google Analytics 4.

6.1. Please, open two browser tabs: the first one with the OWOX BI pipeline page, and the second one with the GA4 Admin page.

6.2. In the OWOX BI, click on the ‘SFTP server…’ section.

6.3. In the opened 'Setting up Data source in Google Analytics' dialog, you will see three sections:

  1. Required steps in the Google Analytics 4 interface.
  2. SFTP server username, that you need to copy here and paste into GA4 Data source settings
  3. SFTP server URL

Step 4. Set up data import into Google Analytics 4

Now you need to create a dataset in Google Analytics 4.

Open the admin panel in your GA4 account, select Import data in the resource settings, and click the Create button:

Give a name to the dataset – for example, “Bing Ads cost data” – and select Cost data:

Select SFTP as the import source:

  • fill SFTP server username - required
  • fill SFTP server url - required
  • fill SFTP comment
  • set up schedule

Now you need to decide on the schema for the loaded data. By default, there are five required parameters: date, campaign channel, campaign source, campaign name, and campaign ID. Add other metrics you want to see in your reports, such as cost, clicks, impressions.

After you click Create & generate key, a new dataset will appear in your GA4 resource settings and you will see the Public key.

Copy and paste the Public key into the OWOX BI. And then click the ‘Save’ button to apply your changes and close the dialog.

You will see a green marker with the phrase ‘Public key is set’. You are all set now.

In the OWOX BI interface, activate this pipeline by clicking on the ‘Activate’ button.

The pipeline will change status from ‘Draft’ to ‘Active’.

You are done. And now you can go to Google Analytics 4 and in the row for an existing data source, click the ‘Import now’ button.

It's not necessary, but it allows you to get reports in Google Analytics 4 without waiting for auto data import.

In Google Analytics you will see Import History with Statuses and Match rate:

P.S. In your Google Analytics 4 account, you will now have information about advertising campaigns, user actions on your site, and online transactions. With the help of this data, you can draw conclusions about the effectiveness of advertising channels and manage your marketing budget. This is good but not perfect because there are still returns, canceled orders, and offline communications with customers that, by default, don’t fall into Google Analytics 4.

To analyze complete data from all points of contact with your customers, set up end-to-end analytics using OWOX BI by merging your data in Google BigQuery.

Start Free Trial and get your Bing Ads cost data loaded into Google Analytics 4 in just a matter of minutes so you can stay on top of your advertising performance.

Review your analytics in real-time and act on it


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  • What data can I track with Bing Ads in Google Analytics?

    With Bing Ads data in Google Analytics, you can track metrics such as clicks, impressions, costs, conversions, revenue, and ROI. You can also track performance by campaign, ad group, keyword, device, and location.
  • How can I integrate Bing Ads with Google Analytics?

    You can integrate Bing Ads with Google Analytics by setting up auto-tagging in your Bing Ads account and linking your Bing Ads account to your Google Analytics account.
  • Can I track Bing Ads data in Google Analytics?

    Yes, you can track Bing Ads data in Google Analytics using UTM parameters. By adding UTM parameters to your Bing Ads URLs, you can track the performance of your Bing Ads campaigns in Google Analytics.