Step-16: Click on your project ID (this ID could be different in your case):
Step-17: On the right-hand side of your screen, find and click on the button ‘Create Dataset’:
Step-18: Name your dataset (say GA_data_set) and then click on the ‘Create dataset’ button at the bottom:
We are going to use this new data set for storing data from Google Analytics.
You would now need to use a third-party solution for sending Google Analytics data to BigQuery. This is going to cost you based on your account usage.
Regardless of how much it costs you, it would most likely still be cheaper than paying $150k per year to Google for using the GA360 (which comes with the free connection to BigQuery).
You can either search for such third-party solutions online or use the one that I use which is ‘Supermetrics for BigQuery‘. They provide a free 14 days trial of their solution. No credit card required.
You should now see the ‘Data Source enrolled‘ status:
Note: If you are using the BigQuery Sandbox then you will not able to enroll as this Supermetrics connector requires active billing. So when you click on the ‘Enroll’ button, you should see a message box like the one below:
Step-27: Click on the ‘CONFIGURE TRANSFER’ button:
You should now see a screen like the one below which is about creating a data transfer:
Step-28: Keep the data source (‘Google Analytics by Supermetrics’) intact and move on to the next step:
Step-29: Type a meaningful name for the ‘Transfer config name’ field:
Step-30: Keep the scheduling options (which specify when the transfer will run) to ‘Start now’ (unless you want to change it) and move on to the next step:
Step-31: Keep the ‘Repeats’ setting to ‘Daily’ to have new data added once a day and move on to the next step:
Note: The ‘Start date and run time’ setting is locked for editing when ‘Start now’ setting is selected.
Step-32: Select the data set you created earlier from the drop-down menu:
We are going to use this data set for storing Google Analytics data in BigQuery.
Step-33: Click on the ‘CONNECT SOURCE’ button:
Step-34: Click on the ‘Accept Agreement’ button:
Step-35: Click on ‘Sign in with Google’ button:
Step-36: Click on the name of the Google account which is associated with both your Google Analytics account and BigQuery project:
Step-37: Click on the button ‘Authorize with Google Analytics’:
Step-38: Click on the name of the Google account which is associated with your Google Analytics account:
Step-39: Click on the ‘Allow’ button:
Step-40: Click on the ‘Continue’ button:
You should now see a screen like the one below:
Step-41: Select the Google Analytics view (from which you to send data to BigQuery) from the ‘Accounts’ drop-down menu:
Step-42: Click on the ‘Submit’ button.
You should now see the ‘Source Connected‘ message below ‘Third party connection‘:
Step-43: Click on the ‘SAVE’ button to save the transfer and also start the initial data transfer:
You should now see a screen like the one below:
Through the ‘Run History’ section, you can monitor the current progress of all of your data transfers.
When the data transfer is in progress you see the message ‘The transfer run is in progress’:
When the data transfer is complete you see the message ‘The transfer run has completed successfully’:
Step-44: Click on the ‘SQL WORKSPACE’ link from the left-hand side navigation:
Step-45: Navigate to the data set named ‘GA_data_set’ (which we created earlier).
This data set list all the data tables automatically created by supermetrics:
Step-46: Click on the data tables one by one to see what data it contains.
For example, GA_CONTENT_ data table contains the GA content data:
The GA_EVENTS_ data table contains the GA event data:
At this point, you can query a particular set of data by clicking on the ‘Query Table’ button:
That’s how you can send Google Analytics data to BigQuery without using Google Analytics 360.
Sending Google Analytics 4 data to BigQuery
Google Analytics 4 provides a free connection to BigQuery. So you don’t need to use a third-party solution for that.
"How to use Digital Analytics to generate floods of new Sales and Customers without spending years figuring everything out on your own."
Here’s what we’re going to cover in this training…
#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 BeyondSECOND EDITION OUT NOW!
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.
About the Author
Himanshu Sharma
Founder, OptimizeSmart.com
Over 15 years of experience in digital analytics and marketing
Author of four best-selling books on digital analytics and conversion optimization
Nominated for Digital Analytics Association Awards for Excellence
Runs one of the most popular blogs in the world on digital analytics
Consultant to countless small and big businesses over the decade
error: Alert: Content is protected !!
We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Allow Cookies”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent.
This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
Cookie
Duration
Description
cookielawinfo-checkbox-analytics
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional
11 months
The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance
11 months
This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy
11 months
The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.