Supermetrics queries for Google Sheets – Tutorial
Every time you pull data from a data source, the Supermetrics Google Sheets add-on creates and runs a query in the background.
So if you pulled data from four different data sources (say Google Analytics, Google Ads, Facebook Ads, and Google Search Console) into Google Sheets, the Supermetrics Google Sheets add-on ran four different queries in the background.
Therefore by extracting data from multiple data sources into one Google Sheet, we ran multiple queries in one Google Sheet.
However, you should avoid running more than one query per Google Sheet.
How to view query information in Google Sheets via Supermetrics
There are two ways to view query information in Google Sheets via Supermetrics Google Sheets Add-on:
- Via Supermetrics sidebar
- Via ‘SupermetricsQueries’ sheet
#1 Viewing query information via Supermetrics sidebar
Follow the steps below:
Step-1: Click on any cell in the data table in your Google Sheet whose query information you want to see.
For example in the screenshot below I clicked on a cell of the data table which shows data from Google Analytics:
Step-2: Navigate to ‘Add-ons’ menu > Supermetrics and then click on the ‘Launch Sidebar’ link:
You should now be able to see the query information:
Similarly, if you click on any cell in another data table, you should be able to see the query information related to that data table.
For example in the screenshot below I clicked on a cell of the data table which shows data from Google Ads:
Get the ebook on Google Data Studio (50+ Pages)
#2 Viewing query information via ‘SupermetricsQueries’ sheet
Follow the steps below:
Step-1: Navigate to ‘Add-ons’ menu > Supermetrics and then click on the ‘Manage Queries’ link:
As soon as you click on the ‘Manage Queries’ link, Supermetrics will create a new sheet in your Google Sheet document named ‘SupermetricsQueries’:
Step-2: Click on the ‘SupermetricsQueries’ sheet tab.
All the queries created by supermetrics are stored here:
If you remember, we pulled data from four different data sources (Google Analytics, Google Ads, Facebook Ads and Google Search Console) into Google Sheets.
In other words, we ran four different queries via Supermetrics Google Sheets add-on.
That’s why the the ‘SupermetricsQueries’ sheet shows data for four different queries:
Each query is uniquely identified by an ID called the ‘Query ID’.
Through ‘SupermetricsQueries’ sheet you can:
- Modify the parameters of a query. Any changes will be visible when you run a refresh.
- Remove a query by deleting its row.
- Add new queries: type a range address and query parameters, leave the query ID empty. The query will be added when you run a refresh. (Of course, it’s much easier to use the ‘Supermetrics sidebar to add new queries.)
- Add queries that point to other spreadsheets: follow step 3, but also add a spreadsheet ID (you can see the ID in the URL when you have a file open)
How to modify queries in Google Sheets via Supermetrics
Every time you pull data from a data source (like Google Search Console), the Supermetrics Google Sheets add-on creates and runs a query in the background.
Supermetrics run queries at a specific location in Google Sheets. This location is specified by you when you click on a particular cell.
There are two methods to modify a query:
- Via Supermetrics Sidebar (recommended)
- Manually modify the query via the ‘SupermetricsQueries’ sheet
#1 Modifying query via Supermetrics sidebar
Step-1: Click on any cell in the data table in your Google Sheet whose query information you want to see.
For example in the screenshot below I clicked on a cell of the data table which shows data from Google Analytics:
Step-2: Navigate to ‘Add-ons’ menu > Supermetrics and then click on the ‘Launch Sidebar’ link:
You should now be able to see the query information:
Step-3: Click on the ‘Modify’ button to modify your query:
Step-4: Change one or more settings (like ‘Data Source’, ‘Views’, ‘Dates’ etc):
When you change these settings, supermetrics is modifying the query in the background.
Step-5: Once you have made all the necessary changes, click on the ‘Get Data To Table’ button:
#2 Manually modify the query via the ‘SupermetricsQueries’ sheet
Step-1: Click on the ‘SupermetricsQueries’ sheet tab.
Step-2: Manually change one or more fields (like ‘Range Address’, ‘Date Range Type’, ‘Start Date’, ‘End Date’ etc) of a query:
You need to have a very good knowledge of Google Sheets and its formulas if you want to modify the queries directly via the ‘SupermetricsQueries’ sheet.
Otherwise, you are likely to make a lot of mistakes and your queries may not run. That’s the reason, I don’t recommend modifying queries manually.
Step-3: Once you have made all the necessary changes to your query then click on the ‘Refresh All’ link (under (Add-ons > Supermetrics menu):
You would then see a message box like the one below:
Followed by:
That’s how you can modify queries in Google Sheets.
Refreshing queries automatically in Google Sheets
If you want the latest data in your Google Sheets all the time then you should schedule query refreshes via Supermetrics Google Sheets Add-on.
When you schedule refreshes, Supermetrics automatically refresh queries after a certain time has elapsed.
For example, you can set Supermetrics to automatically refresh queries every hour.
In this way, the data in your Google Sheets will always remain up to date.
Otherwise, you would have to remember to manually update the query, every time you choose to use that data either in Google Sheets or Google Data Studio.
Follow the steps below to schedule query refreshes:
Step-1: Click on ‘Schedule refresh & emailing’ (under ‘Add-ons > Supermetrics):
Step-2: Select the action you want Supermetrics to take from the ‘Action’ drop-down menu:
Following is a short description of various actions you can select:
Refresh hourly – Supermetrics will automatically refresh/run queries every hour:
Refresh daily – Supermetrics will automatically refresh/run queries once every day at a specified time:
Refresh weekly – Supermetrics will automatically refresh/run queries once every week on a specified day and time:
Refresh monthly – Supermetrics will automatically refresh/run queries once a month on a specified day and time:
Refresh & Email daily – Supermetrics will automatically refresh/run queries once every day at a specified time and then automatically email the report in the format you specified:
Here is how the email notification from Supermetrics may look like:
Refresh & Email weekly – Supermetrics will automatically refresh/run queries once every week on a specified day and time and then automatically email the report in the format you specified.
Refresh & Email monthly – Supermetrics will automatically refresh/run queries once every month on a specified day and time and then automatically email the report in the format you specified:
Step-3: Once you have selected the action you want Supermetrics to take from the ‘Action’ drop-down menu, click on the ‘Store Trigger’ button:
Step-4: If you want Supermetrics to take another scheduled action then click on the ‘+Add trigger’ button:
Step-5: Configure your second trigger and then click on the ‘Store Trigger’ button:
Step-6: Click on the ‘Close’ button.
Related Articles
- How to use Supermetrics for Google Sheets Add-on
- How to extract data from Google Analytics into Google Sheets
- How to extract data from Google Ads into Google Sheets
- How to extract data from Facebook Ads into Google Sheets
- How to extract data from Google Search Console into Google Sheets
- Guide to Supermetrics queries for Google Sheets
- How to extract data from Excel or CSV file into Google Sheets
- Google Data Studio Tutorial – 2019
- How to format Google Sheets data for Google Data Studio
- How to use Google Data Studio with Google Sheets
- Community Visualization Access in Google Data Studio
- Data Source Version History in Google Data Studio
- Dimensions and metrics in Google Data Studio
- Field editing in reports – Google Data Studio
- Guide to Data Source Fields in Google Data Studio
- Guide to Data Source in Google Data Studio
- How to create and configure a data source in Google Data Studio
- How to Share Data Source with others in Google Data Studio
- Understanding Data Freshness in Google Data Studio
- Understanding Data Source Credentials in Google Data Studio
- How to use Google Data Studio in another language
- Doing Basic Maths on Numeric Fields via Calculated Fields
- Google Data Studio Number Formats / Data Types
- Guide to Calculated Fields in Google Data Studio
- Guide to Date and Time Data Types in Google Data Studio
- How to work with ‘Text’ data type in Google Data Studio
- How to work with Boolean data type in Google Data Studio
- The ‘Data Set Configuration Error’ in Google Data Studio
- Working with Timezones in Google Sheets and Google Data Studio
- Formula Rejection in Google Data Studio
- Understanding Functions in Google Data Studio
- How to Edit a Calculated Field in Google Data Studio
- Why You Should Avoid Using Functions and Calculated Fields in Data Studio
Do you know the difference between Web Analytics and Google Analytics?
99.99% of course creators themselves don’t know the difference between Web analytics, Google Analytics (GA) and Google Tag Manager (GTM).
So they are teaching GA and GTM in the name of teaching Web analytics.
They just copy each other. Monkey see, monkey do.
But Web analytics is not about GA, GTM.
It is about analyzing and interpreting data, setting up goals, strategies and KPIs.
It’s about creating strategic roadmap for your business.
Web Analytics is the core skill. Google Analytics is just a tool used to implement ‘Web Analytics’.
You can also implement ‘Web analytics’ via other tools like ‘adobe analytics’, ‘kissmetrics’ etc.
Using Google Analytics without the good understanding of ‘Web analytics’ is like driving around in a car, in a big city without understanding the traffic rules and road signs.
You are either likely to end up somewhere other than your destination or you get involved in an accident.
You learn data analysis and interpretation from Web analytics and not from Google Analytics.
The direction in which your analysis will move, will determine the direction in which your marketing campaigns and eventually your company will move to get the highest possible return on investment.
You get that direction from ‘Web analytics’ and not from ‘Google Analytics’.
You learn to set up KPIs, strategies and measurement framework for your business from ‘Web analytics’ and not from ‘Google Analytics’.
So if you are taking a course only on 'Google Analytics’, you are learning to use one of the tools of ‘Web analytics’. You are not learning the ‘Web analytics’ itself.
Since any person can learn to use Google Analytics in couple of weeks, you do no get any competitive advantage in the marketplace just by knowing GA.
You need to know lot more than GA in order to work in Web analytics and marketing field.
So what I have done, if you are interested, is I have put together a completely free training that will teach you exactly how I have been able to leverage web/digital analytics to generate floods of news sales and customers and how you can literally copy what I have done to get similar results.
Here what You'll Learn On This FREE Web Class!
1) Why digital analytics is the key to online business success
2) The number 1 reason why most marketers are not able to scale their advertising and maximize sales.
3) Why Google and Facebook ads don’t work for most businesses & how to make them work.
4) Why you won’t get any competitive advantage in the marketplace just by knowing Google Analytics.
5) The number 1 reason why conversion optimization is not working for your business.
6) How to advertise on any marketing platform for FREE with an unlimited budget.
7) How to learn and master digital analytics and conversion optimization in record time.
My best selling books on Digital Analytics and Conversion Optimization
Maths and Stats for Web Analytics and Conversion Optimization
This expert guide will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions, which can quickly improve the bottom-line of your online business.
Master the Essentials of Email Marketing Analytics
This book focuses solely on the ‘analytics’ that power your email marketing optimization program and will help you dramatically reduce your cost per acquisition and increase marketing ROI by tracking the performance of the various KPIs and metrics used for email marketing.
Attribution Modelling in Google Analytics and Beyond
Attribution modelling is the process of determining the most effective marketing channels for investment. This book has been written to help you implement attribution modelling. It will teach you how to leverage the knowledge of attribution modelling in order to allocate marketing budget and understand buying behaviour.
Attribution Modelling in Google Ads and Facebook
This book has been written to help you implement attribution modelling in Google Ads (Google AdWords) and Facebook. It will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and determine the most effective marketing channels for investment.
Himanshu Sharma
Digital Marketing Consultant and Founder of Optimizesmart.com
Every time you pull data from a data source, the Supermetrics Google Sheets add-on creates and runs a query in the background.
So if you pulled data from four different data sources (say Google Analytics, Google Ads, Facebook Ads, and Google Search Console) into Google Sheets, the Supermetrics Google Sheets add-on ran four different queries in the background.
Therefore by extracting data from multiple data sources into one Google Sheet, we ran multiple queries in one Google Sheet.
However, you should avoid running more than one query per Google Sheet.
How to view query information in Google Sheets via Supermetrics
There are two ways to view query information in Google Sheets via Supermetrics Google Sheets Add-on:
- Via Supermetrics sidebar
- Via ‘SupermetricsQueries’ sheet
#1 Viewing query information via Supermetrics sidebar
Follow the steps below:
Step-1: Click on any cell in the data table in your Google Sheet whose query information you want to see.
For example in the screenshot below I clicked on a cell of the data table which shows data from Google Analytics:
Step-2: Navigate to ‘Add-ons’ menu > Supermetrics and then click on the ‘Launch Sidebar’ link:
You should now be able to see the query information:
Similarly, if you click on any cell in another data table, you should be able to see the query information related to that data table.
For example in the screenshot below I clicked on a cell of the data table which shows data from Google Ads:
Get the ebook on Google Data Studio (50+ Pages)
#2 Viewing query information via ‘SupermetricsQueries’ sheet
Follow the steps below:
Step-1: Navigate to ‘Add-ons’ menu > Supermetrics and then click on the ‘Manage Queries’ link:
As soon as you click on the ‘Manage Queries’ link, Supermetrics will create a new sheet in your Google Sheet document named ‘SupermetricsQueries’:
Step-2: Click on the ‘SupermetricsQueries’ sheet tab.
All the queries created by supermetrics are stored here:
If you remember, we pulled data from four different data sources (Google Analytics, Google Ads, Facebook Ads and Google Search Console) into Google Sheets.
In other words, we ran four different queries via Supermetrics Google Sheets add-on.
That’s why the the ‘SupermetricsQueries’ sheet shows data for four different queries:
Each query is uniquely identified by an ID called the ‘Query ID’.
Through ‘SupermetricsQueries’ sheet you can:
- Modify the parameters of a query. Any changes will be visible when you run a refresh.
- Remove a query by deleting its row.
- Add new queries: type a range address and query parameters, leave the query ID empty. The query will be added when you run a refresh. (Of course, it’s much easier to use the ‘Supermetrics sidebar to add new queries.)
- Add queries that point to other spreadsheets: follow step 3, but also add a spreadsheet ID (you can see the ID in the URL when you have a file open)
How to modify queries in Google Sheets via Supermetrics
Every time you pull data from a data source (like Google Search Console), the Supermetrics Google Sheets add-on creates and runs a query in the background.
Supermetrics run queries at a specific location in Google Sheets. This location is specified by you when you click on a particular cell.
There are two methods to modify a query:
- Via Supermetrics Sidebar (recommended)
- Manually modify the query via the ‘SupermetricsQueries’ sheet
#1 Modifying query via Supermetrics sidebar
Step-1: Click on any cell in the data table in your Google Sheet whose query information you want to see.
For example in the screenshot below I clicked on a cell of the data table which shows data from Google Analytics:
Step-2: Navigate to ‘Add-ons’ menu > Supermetrics and then click on the ‘Launch Sidebar’ link:
You should now be able to see the query information:
Step-3: Click on the ‘Modify’ button to modify your query:
Step-4: Change one or more settings (like ‘Data Source’, ‘Views’, ‘Dates’ etc):
When you change these settings, supermetrics is modifying the query in the background.
Step-5: Once you have made all the necessary changes, click on the ‘Get Data To Table’ button:
#2 Manually modify the query via the ‘SupermetricsQueries’ sheet
Step-1: Click on the ‘SupermetricsQueries’ sheet tab.
Step-2: Manually change one or more fields (like ‘Range Address’, ‘Date Range Type’, ‘Start Date’, ‘End Date’ etc) of a query:
You need to have a very good knowledge of Google Sheets and its formulas if you want to modify the queries directly via the ‘SupermetricsQueries’ sheet.
Otherwise, you are likely to make a lot of mistakes and your queries may not run. That’s the reason, I don’t recommend modifying queries manually.
Step-3: Once you have made all the necessary changes to your query then click on the ‘Refresh All’ link (under (Add-ons > Supermetrics menu):
You would then see a message box like the one below:
Followed by:
That’s how you can modify queries in Google Sheets.
Refreshing queries automatically in Google Sheets
If you want the latest data in your Google Sheets all the time then you should schedule query refreshes via Supermetrics Google Sheets Add-on.
When you schedule refreshes, Supermetrics automatically refresh queries after a certain time has elapsed.
For example, you can set Supermetrics to automatically refresh queries every hour.
In this way, the data in your Google Sheets will always remain up to date.
Otherwise, you would have to remember to manually update the query, every time you choose to use that data either in Google Sheets or Google Data Studio.
Follow the steps below to schedule query refreshes:
Step-1: Click on ‘Schedule refresh & emailing’ (under ‘Add-ons > Supermetrics):
Step-2: Select the action you want Supermetrics to take from the ‘Action’ drop-down menu:
Following is a short description of various actions you can select:
Refresh hourly – Supermetrics will automatically refresh/run queries every hour:
Refresh daily – Supermetrics will automatically refresh/run queries once every day at a specified time:
Refresh weekly – Supermetrics will automatically refresh/run queries once every week on a specified day and time:
Refresh monthly – Supermetrics will automatically refresh/run queries once a month on a specified day and time:
Refresh & Email daily – Supermetrics will automatically refresh/run queries once every day at a specified time and then automatically email the report in the format you specified:
Here is how the email notification from Supermetrics may look like:
Refresh & Email weekly – Supermetrics will automatically refresh/run queries once every week on a specified day and time and then automatically email the report in the format you specified.
Refresh & Email monthly – Supermetrics will automatically refresh/run queries once every month on a specified day and time and then automatically email the report in the format you specified:
Step-3: Once you have selected the action you want Supermetrics to take from the ‘Action’ drop-down menu, click on the ‘Store Trigger’ button:
Step-4: If you want Supermetrics to take another scheduled action then click on the ‘+Add trigger’ button:
Step-5: Configure your second trigger and then click on the ‘Store Trigger’ button:
Step-6: Click on the ‘Close’ button.
Related Articles
- How to use Supermetrics for Google Sheets Add-on
- How to extract data from Google Analytics into Google Sheets
- How to extract data from Google Ads into Google Sheets
- How to extract data from Facebook Ads into Google Sheets
- How to extract data from Google Search Console into Google Sheets
- Guide to Supermetrics queries for Google Sheets
- How to extract data from Excel or CSV file into Google Sheets
- Google Data Studio Tutorial – 2019
- How to format Google Sheets data for Google Data Studio
- How to use Google Data Studio with Google Sheets
- Community Visualization Access in Google Data Studio
- Data Source Version History in Google Data Studio
- Dimensions and metrics in Google Data Studio
- Field editing in reports – Google Data Studio
- Guide to Data Source Fields in Google Data Studio
- Guide to Data Source in Google Data Studio
- How to create and configure a data source in Google Data Studio
- How to Share Data Source with others in Google Data Studio
- Understanding Data Freshness in Google Data Studio
- Understanding Data Source Credentials in Google Data Studio
- How to use Google Data Studio in another language
- Doing Basic Maths on Numeric Fields via Calculated Fields
- Google Data Studio Number Formats / Data Types
- Guide to Calculated Fields in Google Data Studio
- Guide to Date and Time Data Types in Google Data Studio
- How to work with ‘Text’ data type in Google Data Studio
- How to work with Boolean data type in Google Data Studio
- The ‘Data Set Configuration Error’ in Google Data Studio
- Working with Timezones in Google Sheets and Google Data Studio
- Formula Rejection in Google Data Studio
- Understanding Functions in Google Data Studio
- How to Edit a Calculated Field in Google Data Studio
- Why You Should Avoid Using Functions and Calculated Fields in Data Studio
Do you know the difference between Web Analytics and Google Analytics?
99.99% of course creators themselves don’t know the difference between Web analytics, Google Analytics (GA) and Google Tag Manager (GTM).So they are teaching GA and GTM in the name of teaching Web analytics.
They just copy each other. Monkey see, monkey do.
But Web analytics is not about GA, GTM.
It is about analyzing and interpreting data, setting up goals, strategies and KPIs.
It’s about creating strategic roadmap for your business.
Web Analytics is the core skill. Google Analytics is just a tool used to implement ‘Web Analytics’.You can also implement ‘Web analytics’ via other tools like ‘adobe analytics’, ‘kissmetrics’ etc.
Using Google Analytics without the good understanding of ‘Web analytics’ is like driving around in a car, in a big city without understanding the traffic rules and road signs.
You are either likely to end up somewhere other than your destination or you get involved in an accident.
You learn data analysis and interpretation from Web analytics and not from Google Analytics.The direction in which your analysis will move, will determine the direction in which your marketing campaigns and eventually your company will move to get the highest possible return on investment.
You get that direction from ‘Web analytics’ and not from ‘Google Analytics’.
You learn to set up KPIs, strategies and measurement framework for your business from ‘Web analytics’ and not from ‘Google Analytics’.So if you are taking a course only on 'Google Analytics’, you are learning to use one of the tools of ‘Web analytics’. You are not learning the ‘Web analytics’ itself.
Since any person can learn to use Google Analytics in couple of weeks, you do no get any competitive advantage in the marketplace just by knowing GA.
You need to know lot more than GA in order to work in Web analytics and marketing field.
So what I have done, if you are interested, is I have put together a completely free training that will teach you exactly how I have been able to leverage web/digital analytics to generate floods of news sales and customers and how you can literally copy what I have done to get similar results.
Here what You'll Learn On This FREE Web Class!
1) Why digital analytics is the key to online business success
2) The number 1 reason why most marketers are not able to scale their advertising and maximize sales.
3) Why Google and Facebook ads don’t work for most businesses & how to make them work.
4) Why you won’t get any competitive advantage in the marketplace just by knowing Google Analytics.
5) The number 1 reason why conversion optimization is not working for your business.
6) How to advertise on any marketing platform for FREE with an unlimited budget.
7) How to learn and master digital analytics and conversion optimization in record time.
My best selling books on Digital Analytics and Conversion Optimization
Maths and Stats for Web Analytics and Conversion Optimization
This expert guide will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions, which can quickly improve the bottom-line of your online business.
Master the Essentials of Email Marketing Analytics
This book focuses solely on the ‘analytics’ that power your email marketing optimization program and will help you dramatically reduce your cost per acquisition and increase marketing ROI by tracking the performance of the various KPIs and metrics used for email marketing.
Attribution Modelling in Google Analytics and Beyond
Attribution modelling is the process of determining the most effective marketing channels for investment. This book has been written to help you implement attribution modelling. It will teach you how to leverage the knowledge of attribution modelling in order to allocate marketing budget and understand buying behaviour.
Attribution Modelling in Google Ads and Facebook
This book has been written to help you implement attribution modelling in Google Ads (Google AdWords) and Facebook. It will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and determine the most effective marketing channels for investment.
Himanshu Sharma
Digital Marketing Consultant and Founder of Optimizesmart.com