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The Analytics Account Structure
Terms in this set (36)
All of your Google analytics accounts can be grouped under an
Organization, which is optional.
Organizations allow you to manage multiple
Google Analytics accounts under one grouping.
Large businesses or agencies with "organizations" feature could have
Medium to small-sized businesses generally only use
One account to organize under organization.
When you create a google analytics account, you also automatically create a property, and, within that property
A view for that account.
Each analytics account can have multiple properties and each property
Can have multiple views.
Organizations, accounts, properties, and views lets you organize your
Analytics data collection in a way that best reflects your business.
Google Analytics account determines how data is collected from your websites and manages
Who can access that data.
Typically, you would create separate Analytics accounts for distinct
Businesses or business units.
Each Google Analytics account has at least one "property". Each property can
Collect data independently of each other using a unique trakcing ID that appears in your tracking code.
You may assign multiple properties to each account so you can
Collect data from different websites, mobile applications, or other digital assets associated with your business.
You may want to have separate properties for different sales
Regions or different brands.
Properties allow you to easily view the data for an individual part of
Your business, but it won't allow you to see data from separate properties in aggregate.
As each account can have multiple properties, each property cn have
Used in your confuration settings to determine what data you want to include in the reports for each view.
The Google Store sells merchandise from their website across different geographical regions. They can create one view that includes
All of their global website data
The Google Store sells merchandise from their website across different geographical regions. If they wanted to see data for individual regions, they could create separate
Views for individual regions (N. America, Europe, Asia)
If the google store wanted to only see data for external traffic (that didn't include their own store employees), they could set up a view that filtered out
Internal traffic based on IP address.
The view level lets you set Google analytics "Goals". These goals are a
Valuable way to track conversations, or business objectives, from your website.
A goal could be how many users signed up for
An email news letter.
A goal could be how many users purchase
Be thoughtful when setting up your accounts, properties, and views, because
You can't change data once its been collected and processed by Google Analytics.
New views only include data
From the date, the view was created and onwards.
When you create a new view, it will not
Include past data.
If you delete a view, only
Administrators can recover that view within a limited amount of time. Otherwise, it'll be permanently deleted.
You can assign permissions to otehr users at the
Account, property, or view level.
Each level inherits permissions from the
Level above it (account, property, or view)
If you have access to an account then yyou have the same access permissions to properties and views
Underneath that account.
If you only have access permissions for a view
Then you won't have permission to modify the property or account associated with that view.
By clicking "Admin", Google Analytics lets you set user permissions for
"Managing Users", "Edit", "Collaborate", or "Read and Analyze".
"Managing Users" lets users
Add or remove user access to the account, property, or view.
"Edit" lets users make changes to
The configuration settings.
"Collaborate" allows users to
Share things like dashboards or certain measurement settinsg.
"Read and Analyze" lets users
View data, analyze reports, and create dashboards but restricts them from making changes to the settings or adding new users.
"Read and Analyze" restricts users from
Making changes to the settings or adding new users.
Make sure you align your properties and views of the data you collect with your overall
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