Thank You to Our DataSet Sponsor
We would like to thank Denturetech for allowing us the use of their metrics for this lesson.
DentureTech's roots began in the 1980's when Chris Pine started a small laboratory from his home in Belmont Terrace, Milford.
DentureTech are proud to offer a wide selection of dentures to their patients. Denturetech's services consist of full dental services, partial denture ranges, repairs & relines, and other related services.
You can visit https://www.denturetech.co.nz/ for more information.
Purpose Of This Lesson
The purpose of this lesson is to understand the Views in Google Analytics and how to utilise the set up configuration for data reporting. Planning and strategising the Google Analytics set up in advance will save you years worth of effort once the data starts to aggregate in your account.
What are views in Google Analytics?
In the hierarchy of accounts in Google Analytics, an ‘Account’ has a ‘Property’ where you find the tracking code that is implemented on the website for data aggregation. In each ‘Property’ you have an option to add up to 25 ‘Views’ or ‘Reporting Views’.
A ‘View’ is a subset for the data based on the filters you have configured.
For example, a section on your website points to ‘B2b’ and other to ‘B2c’ audience, you may prefer to have separate views for data reporting based on your customer type so you understand their website behaviour individually. It could also be used to filter our traffic from your internal staff, or a particular subdomain that is only used internally.
With correct views, you can ensure that datasets that are used for reporting are differentiated for different audience types. Depending on the views you have implemented, you may separate goals or conversions for that dataset.
Why should you have a new view in Google Analytics Property?
We have added few scenarios where adding a new ‘View’ or strategising them while in your planning phase will help;
>> Filtering Internal Traffic - We often come across Google Analytics accounts which do not filter internal traffic from staff or employees. Without an internal IP filter, you may be looking at reports which are affected by your staff on the website.
>>Different Departments - if you have multiple teams internally working with Google Analytics reports than you will find it easier to add separate views for different departments with their own filters and goals to achieve on the website. Multiple Views make a lot easier for reporting for each department.
>> User Management - If you work with multiple agencies who are keen to view your Google Analytics data for their reporting, then you can strategise multiple views to differentiate their configurations for reporting. You can invite users to specific views and limit them to see the complete data.
>> Subdomain tracking - You may choose to implement the same Google Analytics tracking code for your main domain and subdomain. With separate views you can filter the dataset before they have been aggregated in your account.
>> International website - If you have one website for your international operations and all data is tracked using Google Analytics code, then you may prefer to add separate views for different countries. This way you can track datasets from each country separately for reporting.
Best practices for adding views
>> As a best practice we suggest that you should always have a ‘Raw View’ added to your every ‘Property’ in Google Analytics. This ensures that you always have one view aggregating data that is unfiltered. With this view you can always go back to all of the data that has been collected if you need to and not risking anything getting lost
>> Adding a ‘Main View’ or ‘Configured View’ for your reporting. In this view you should add all filters for reporting insights i.e. IP Filters for internal traffic, Spam filters to block any spam referrals data etc. We also use this view for adding goals or conversions in the account. Please note goals can only be viewed in this view.
>> We suggest adding separate views in your account for ‘ECommerce’ data, whether it is ‘Standard ECommerce’ or ‘Enhanced ECommerce’ data.
Adding a user to a View
Follow these steps to add a new user to a ‘View’ in Google Analytics:
>> Go to Admin Settings - bottom left corner corg button
>> Select the correct ‘View’ in the Views dropdown - third column.
>> Once you have selected the correct view for the user, go to ‘View User Management’ under View column (see highlighted)
>> On the top right corner, select the ‘blue +’ button > Add User
>> Enter the email address of the user, ensure it is either a gmail account or an account associated to a gmail account.
>> Select the appropriate permission level for the user
>> Select the ‘Add’ blue button on the top right.
How can I check my IP address for internal filters in Google Analytics?
Go to Google and type ‘What is my IP?’, this will give you your IP address. Though there is a difference between a generic IP address and static IP address.
A generic IP address is different for different desktops or mobile phones connected to the WiFi but a static IP remains constant for all users who are connected to the same WiFi.
It is recommended to have a static IP address for your office for filtering in Google Analytics as it ensures all staff from the office are excluded from your data.
See our filters lesson here - https://www.webwonks.co.nz/how-to-guides/google-analytics/adding-filters-google-analytics/
What is the difference between a Property and a View?
Properties in Google Analytics account hold a higher hierarchy than Views. One Google Analytics account can have 50 Properties and each Property can have 25 Views. Google Analytics tracking code is associated with Property and there is no separate code for Views.
Why is there a difference between Raw Data view and Configured/Diagnosed Data view?
A configured data or diagnosed data view has multiple filters added for reporting. These filters could be an IP exclusion for your internal staff or office or referral filters for spam that may affect your data. A raw data view on the other hand has no filters enabled and tracks data with all internal traffic and spam.
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