Getting Started with Google Analytics - Data Warehouse, Cloud Storage, BigQuery & API

This guide covers the basic functionality of the Supermetrics Google Analytics connector, and gives examples of how to set up a data transfer with Data Warehouse, Cloud Storage & BigQuery, and how to setup a query with API.  


Please note that the authentication flow below can be applied to all Google-data sources (Google Ad Manager, Google Campaign Manager, Google My Business, Google Search Ads 360 etc.) 


Quick links to specific sections:

Data Warehouse & Cloud Storage

API

BigQuery

Data Source Access Requirements:

To enable Supermetrics for Google Analytics, you must have minimum of Read & Analyze access to Property and Views. To learn more, please refer to these guides:


Documentation:

The complete list of available fields (metrics and dimensions) for Google Analytics, can be found here.


Data Warehouse & Cloud Storage products - Data transfer setup example

This guide assumes that you have already installed a data destination for Snowflake Data Warehouse, or Azure Storage Container, or Amazon S3 Bucket, or Google Cloud Storage Bucket. If you haven't created a data destination, see: How to configure a data destination


How to configure a data transfer

1. Go to team.supermetrics.com and under INTEGRATIONS → Transfers click on the Create new button.


2. Select Google Analytics and click OK.


3. Choose a display name (can be anything), that will be used to distinguish the transfer you are creating from others.


4. The destination that has been created before the transfer setup (see How to configure a data destination).

License: Your Supermetrics connector license, see License management.


5. Schedule your transfer. 


Frequency: How often the transfer will be repeated. If you select the Daily option, new data will be added once a day.

Time: The time when the transfer will be repeated.

Refresh window: A refresh window setting of 1 means that it'sgoing to pull the calendar day it’s running on, which is typically less than 24 hours. To get a full day’s data updated each day, use the default value or minimum of 2. On the other hand, a higher value means the transfer will run more times each day, so it proportionally increases the total load time. 


6. To authenticate Google Analytics click on + add user, under sources.


7. Click on start to proceed. 


8. Select a Google account to proceed.



9. Click on allow. If you wish to learn more about data security and data privacy, please see this page.


10. You have completed all the authentication steps. Hand-pick the account(s) you wish to proceed with. The right-hand side lists the account objects that have been selected to be used in the data transfer. 




11. Fill in the general settings: the conversion window, reporting timezone, and report time of action stats. These settings impact all tables in the transfer. 



Adding additional user accounts:

1. Click on add another user to add additional user accounts.





Re-authenticating with Data WareHouse and Cloud Storage Products:

To re-authenticate the data source with any Data Warehouse and Cloud Storage product, please follow this guide and follow the section "renewing a login".


API - Query setup example

1. Go to the Team Management site at team.supermetrics.com and log in with your Google or Microsoft account.

2. In the top navigation, go to INTEGRATIONSQuery Manager.

3. Select Google Analytics in the sidebar. 


4. Click on start to proceed.


5. Select a Google account to proceed.


6. Click on allow. If you wish to learn more about data security and data privacy, please see this page.


7. You have completed all the steps. You can now go back to the sidebar, click on query, and select your Google Analytics account(s) under select view(s). To select all views, select "all accounts". 

8. Select dates. Choose one date range (today, yesterday, last week, etc). To select a custom date, you can either insert the date manually on start and end or select it from the calendar bar.


9. Select metrics. To see all metrics that can be fetched with Google Analytics, please see Google Analytics documentation. To deselect a metric click on the X next to the metric's name.


10. Split by dimensions. You can choose dimensions in rows and/or columns. To see all dimensions that can be fetched with Googe Analytics, please see Google Analytics documentation.


The query example above is with JSON. 

For instructions on using the URL to get your data to specific destinations, see:

Connecting to Power BI with Supermetrics API

Connecting to Tableau with Supermetrics API

Connecting to Qlik Sense with Supermetrics API


Re-authenticating with API:

To re-authenticate the data source with API, please follow all the steps from this guide.


BigQuery - Data transfer setup example

This guide assumes that you have already enrolled for Supermetrics Google Analytics in the Google Cloud Platform Marketplace. If you haven't, see First Steps: Getting Supermetrics into your BigQuery project


1. Go to BigQuery at https://console.cloud.google.com/bigquery and click on Data transfers.


2. Click on + CREATE TRANSFER



3. Under the source drop-down, select Google Analytics by Supermetrics.



4. Add a Transfer config name (can be anything) for the transfer. 


5. Set up your scheduling options for when the transfer will run.

  • Select Start now to have the initial transfer start immediately after the configuration is saved.
  • Set Repeats to Daily to have new data added once a day.
  • The Start date and run time is locked with Start now selected.


6. Set the Destination settings.

  • If you have an existing dataset you want to use for the transfer, simply select it from the dropdown. For instructions on creating a new dataset, see Creating a BigQuery dataset for your data transfer.
  • The default refresh window varies per data source. You can also set the number of days you want to include in each daily data transfer manually.


7. Click on CONNECT SOURCE to proceed.

  • Optionally, you can enable Notification options to get notifications about failures.


8. A pop-up will appear asking you to enable a third party connection. To accept and proceed, click on ACCEPT AGREEMENT.


9. Sign in with your Google account. 



9. Click on Authorize with Google Analytics to proceed. 


10. Click on continue to proceed with that user account. If you wish to add another user, click on add another user. 



11. Select the account(s) you wish to have as part of the data transfer and click on submit. Click on "select all" to select all your accounts.


13. Click on SAVE to save the transfer. This will also start the initial data transfer.




Re-authenticating with BigQuery:

To re-authenticate the data source with BigQuery, please follow all the steps from this guide.


Further assistance

If you followed all the above steps and you still encounter an error, please create a new support request with the details of the issue and we will assist you.


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