Import Google Ads Data Into Power BI For Free

Learn how to create an automated report in Google Ads (AdWords) that gets imported into Power Bi using Ads Script and Google Sheets.

Follow these steps

1. Create your Ads Script & Create a Google Sheet
2. Create a Google Sheet
3. Run the code to populate the Google Sheet
4. Change the share properties of the Google Sheet
5. Download the Google sheet as Microsoft Excel
6. Get the download URL
7.  Connect to Google Sheets
8. Clean the data

It’s based on an Excel Power Query report done by Dan Zrust – so a big shout out to him.

As many of my clients use Google Ads conversion tracking code I can’t rely on the Google Analytics add on in Google Sheets. Google Ads gives me KPI’s such as All Conversion Value, Historic Quality Score and Search Impression Share.

My solution was to create a script in Google Ads which then exports the data directly into Google Sheets.

1. Create your Ads Script & Create a Google Sheet

Below is my simple script. Because I wanted to schedule my report my date range  looks back over the last 60 days. This date range also allows me to avoid the limits of Google Ads Script and Google Sheets.

For those familiar with Google Ads you’re probably aware of these values “<10%”, “<90%” and a null value “–” which get returned in the data. We need to remove these text strings from our Google Sheet to prevent errors in our Power Bi report. To get rid of these we add the conditions below.

‘AND SearchImpressionShare > 0.10 ‘ + ‘AND SearchExactMatchImpressionShare > 0.10 ‘ + ‘AND SearchRankLostImpressionShare < 0.90 ‘ +


function main() {

// The start and end date of the date range
var MILLIS_PER_DAY = 1000 * 60 * 60 * 24;
var now = new Date();
var from = new Date(now.getTime() - 60 * MILLIS_PER_DAY);
var to = new Date(now.getTime() - 1 * MILLIS_PER_DAY);
var timeZone = AdWordsApp.currentAccount().getTimeZone();

// Add you spreadsheet here
var spreadsheet = SpreadsheetApp.openByUrl('');

// Select Query - note the and conditions to remove strings such as ">90%", "<10%" and "--"
var query = 'SELECT Date, CampaignName, Impressions, Clicks, AveragePosition, ' +
'SearchImpressionShare, SearchExactMatchImpressionShare, SearchBudgetLostImpressionShare, SearchRankLostImpressionShare ' +
'WHERE AdNetworkType2 = SEARCH ' +
'AND SearchImpressionShare > 0.10 ' +
'AND SearchExactMatchImpressionShare > 0.10 ' +
'AND SearchRankLostImpressionShare < 0.90 ' +
'DURING ' + Utilities.formatDate(from, timeZone, 'yyyyMMdd') + ','

+ Utilities.formatDate(to, timeZone, 'yyyyMMdd');

// Check timezone. If you don't want to use account timezone you can change it
// Logger.log(Utilities.formatDate(date, 'Etc/GMT', 'yyyy-MM-dd\'T\'HH:mm:ss.SSS\'Z\''));
Logger.log(Utilities.formatDate(to, timeZone, 'yyyy-MM-dd\'T\'HH:mm:ss.SSS\'Z\''));

var report =, { 'includeZeroImpressions': false });

Logger.log("Your Spreadsheet is ready " + spreadsheet.getUrl());


2. Create a Google Sheet

Once the code is in place you will need to add a new Google Sheet to your drive. Copy the URL and paste it into the code.

3. Run the code to populate the Google Sheet

Now run the script to populate your Google Sheet. If you want to automate the report you will need to setup a schedule in Google Ads.

4. Change the share properties of the Google Sheet

You need to share the Google Sheet URL as “Anyone with link can edit”.

5. Download the Google sheet as Microsoft Excel

Go to File > Download As > Microsoft Excel (xlsx)

6. Get the download URL

To get the download URL you need to open up the download window in the browser and then copy the link. In Chrome this is Chrome//downloads or the shortcut “Ctrl + J”.

The reason why we need this URL rather than the actual Google Sheet URL is that the download URL contains details about the Excel file. This is critical in order to bring the data into Power Bi. You can see the difference between the URLs below

Download URL:

Google Sheet URL:

7.  Connect to Google Sheets

Open up Power Bi and click on Get Data > Web and then paste in your URL


8. Clean the data

Once your data is in Power Bi you should check that your data is clean. Check that the data types look correct, i.e. the data column has the data type and numbers are decimals rather than text.

If you downloaded quality scores you will need to check for these “–“.  If there is no quality score this “–” will be in the columns. You can quickly check this by using the dropdown selector on the column, as shown below.

Click on the “replace values” button to remove any spurious data, as shown below.

Additional Options

Clear Cache in Power Bi

If you pull data into Power Bi regularly it’s a good idea to clear the cache so that the correct data shows. To do this go to File > Options & Settings > Options. In the Data tab press the button that says “Clear cache”.

Delete Empty Cells in Google Sheets

When you run a long date range in your script many rows are created in Google Sheets. If you then run a shorter date range less rows will be filled with data but the blank rows will still remain. Unfortunately if you then refresh Power Bi these blank rows will also be imported into the data model. To prevent this delete all the blank rows in Google Sheets and then refresh the

Add A Date Table

Whilst you may have a date column what you really need is a new date table which will allow you to create a relationship between your current data table and any possible new tables you wish to create. For example, perhaps you would like to import geographical data into Power Bi. This would require a new script that would specifically query how your campaigns have performed by location.

Connect to Multiple Data Sets Using Excel Power Query

The purpose of this tutorial is to merge data from two data sets. To do this we need the products table in excel format, which you can get here: Products – Master 

In a new excel spreadsheet we will first import the Products table from excel spreadsheet.

Next we will connect to the Northwind OData Feed and then import the columns we are interested in from the Order_Details table.

Import Excel products table

On the Data tab select

Select “Get data” in the left of the tab. From the  drop down select “From File” and then select excel

When the Navigator appear select the Products worksheet. Press Edit at the bottom.

You should see something like this below in the Query Editor

You should always check the top row of the columns just to make sure the columns are correct.  If they are not you may have to change these by using “Use first row as headers”.

Make top row as headers

If the first row has headers like Column 1, Column 2, etc then you will need to make the first row as headers. If the headers are okay then you can skip this section.

There are two places where you can select “Use first row as headers”.  You can do this from either the top bar or you can select the table icon at the top of the column.

Remove unwanted columns

Now we need to remove all the rows that are not of interest to us. We only want ProductID, ProductName, CategoryID, and QuantityPerUnit.

To select the columns to include click on the individual columns whilst holding down the Ctrl button.

Then select “Remove other columns”

Select Close & Load to finish the import

A new sheet is created in the Excel spreadsheet.

Connect to a OData Feed

Connect to data feed

On the Data tab select

Get Data drop down > From Other Sources > From OData Feed

Add your data source URL, in this case Northwind, and click OK

Select the  Order_Details table and then press Edit.

The Power Query Editor now opens.

Make top row as headers


In Power Query, a column containing a link to a related table has an Entry link or Table link. An Entry link navigates to a single related record. A Table link navigates to a related table. A link represents navigation properties in a data source within a relational model. For an OData feed, navigation properties represent an entity with a foreign key association. For a database, such as SQL Server, navigation properties represent foreign key relationships in the database (read more).

Next we have to expand the Order_details table that is related to the Products table.  This is to join the ProductID, UnitPrice and Quantity columns of the Order_Details into the Product table.

The Expand operation combines the columns from a related table into a subject table.

When the query runs rows from the related table (Order_Details) are combined into the rows from the subject table (Product).

Expand Product Column

In the Preview editor, click an Entry link in a column that is related to the subject table (Product).

You need to click on this icon    and then deselect everything except for the items you want.

Select ProductID, QuantityPerUnit and UnitPrice.

Once you click OK the columns are added as shown below.

Expand Order Column

Just like we did above we are going to expand and then select OrderID, OrderDate, Shipper, and anything else that might be of use to you.

Once done select OK

Calculate row revenue

Add a custom column to add a calculation to sum Product.UnitPrice * Quantity

Add custom column as shown below.

A pop-up will appear. Give your formula a name that makes sense. Add this formula

= [Quantity]*[Product.UnitPrice]

Change the data type of the new column to currency

Change Date to Year

Select OrderDate. In the Transform tab select Date and then navigate to Year.

Group rows by ProductID and Year

Click the Group By icon in the Transform tab.

Select OrderDate and ProductID.

Give the new column the name of Total sale and select the fields as shown below. Click OK.

Your query should now look like this:

Merge Queries

We are now going to merge both the Products and Order_Details data.

On the home tab select Merge Queries and then Merge Queries as New.

A dialog box will appear as show below. Select

You should now see something like this:


This article is based on an article on the Microsoft support site.