How to extract data from Google Analytics into Google Sheets
Note: Google Data Studio is now known as Looker Studio.
Before you pull data into Google Sheets from any data source, you should first figure out the overall layout and format of how your data table should look like in the Google Sheets.
It’s like creating a wireframe before you actually start designing a website. You can create this wireframe either in your head or on a piece of paper or by using a tool like Balsamiq Cloud https://balsamiq.cloud/ You can also use an existing Google Analytics report as a wireframe.
For example, I will show you how to create the following GA report in Google Sheets:
Here the screenshot of the GA report acts as a wireframe for us.
From the GA screenshot above we can determine the following things about, how our data table should look like in Google Sheets:
- Our data table should have one primary dimension called ‘Country’.
- Our data table should have the following three metrics: ‘Sessions’, “%New Sessions’ and ‘New users’.
- The data table needs to have 10 rows
- The data in the data table should be sorted by ‘sessions’ in descending order.
- The data in the data table should be from the last month (not shown in the GA screenshot above).
Make sure you have installed the Supermetrics for Google Sheets add-on before you continue.
Other Articles on Google Sheets
- How to use Looker Studio with Google Sheets
- How to extract data from Excel or CSV file into Google Sheets
- How to extract data from Google Ads to Google Sheets
- How to use Supermetrics for Google Sheets Add-on
- Connect and transfer data from Google Sheets to BigQuery
- Sending data from Google Search Console to Google Sheets
- Supermetrics Queries for Google Sheets – Tutorial
- Google Sheets & Looker Studio Timezone Conversion
- Looker Studio Date Format for Google Sheets – Tutorial
- Learn to export Facebook ads data to Google Sheets
- Understanding Aggregation in Google Sheets
Note: Google Data Studio is now known as Looker Studio.
Before you pull data into Google Sheets from any data source, you should first figure out the overall layout and format of how your data table should look like in the Google Sheets.
It’s like creating a wireframe before you actually start designing a website. You can create this wireframe either in your head or on a piece of paper or by using a tool like Balsamiq Cloud https://balsamiq.cloud/ You can also use an existing Google Analytics report as a wireframe.
For example, I will show you how to create the following GA report in Google Sheets:
Here the screenshot of the GA report acts as a wireframe for us.
From the GA screenshot above we can determine the following things about, how our data table should look like in Google Sheets:
- Our data table should have one primary dimension called ‘Country’.
- Our data table should have the following three metrics: ‘Sessions’, “%New Sessions’ and ‘New users’.
- The data table needs to have 10 rows
- The data in the data table should be sorted by ‘sessions’ in descending order.
- The data in the data table should be from the last month (not shown in the GA screenshot above).
Make sure you have installed the Supermetrics for Google Sheets add-on before you continue.
Other Articles on Google Sheets
- How to use Looker Studio with Google Sheets
- How to extract data from Excel or CSV file into Google Sheets
- How to extract data from Google Ads to Google Sheets
- How to use Supermetrics for Google Sheets Add-on
- Connect and transfer data from Google Sheets to BigQuery
- Sending data from Google Search Console to Google Sheets
- Supermetrics Queries for Google Sheets – Tutorial
- Google Sheets & Looker Studio Timezone Conversion
- Looker Studio Date Format for Google Sheets – Tutorial
- Learn to export Facebook ads data to Google Sheets
- Understanding Aggregation in Google Sheets
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