Working with Analytics
Working with Google Analytics Account
To create Google Analytics :https://marketingplatform.google.com/about/analytics/
Here you can see the Analytics Account I had created.
Filters in Google Analytics:
1)Changing of All WebSite Data to Raw data
Admin->View Settings->View Name->All WebSite Data
Admin->View Settings->View Name->Raw Data
Click Save button on the bottom for keeping the changes.
2)Checking the test view
This process is done to check to see and configure settings correctly in order to avoid mistakes which would lead to loss of data.
Click on All Web Site Data box on the left .
It would show the Create new view
Click Create new view
It opens New Reporting View
Click on Create View
Now we are in the Test View.
Click on View Settings option below Test View Check-box.
Go back to Admin Settings.
Click on Bot Filtering
Click Save to make changes to the settings.
Now let’s move on to the Master View to create views.This view is created by creating a New Test View.
This is done by clicking on Copy View to copy the views.
Here New View Name label is created where we can enter the name as Master View
After this click on Copy View
If you go to the View menu we can see the creation of Master View
Now we have three views that can be used to: back-up data,test new analytical configurations and do reporting and analysis.
We will first set up a common “filter” on test view to exclude internal IP traffic.
Change the view from Master View to Test View
Click on Filters option
The Add Filter button gets displayed
Click Add Filter
In the Filter Name given type Exclude internal traffic
From the above picture it is seen that Analytics provides two types of filters:Predefined and Custom.
Predefined:Templates for most common filters.
Custom:Let’s us create our own filter to exclude,include or modify data.
Here we are excluding internal traffic which is supported by Predefined filter.
Click Select filter type and choose exclude
Click on Select source or destination
Click on traffic from the IP addresses
Now, click on Select expression
Choose that are equal to
Now type the IP address we want to exclude
To get IP address:
Open Browser->Search->what is my ip?
My IP address(public):
Add the IP address in the box:
P.S: Since I am using Demo version adding is not possible
After clicking on Save we get:
Here Google Analytics will apply filter in order to exclude IP addresses which match the filter.
To test the filter click Reporting option on top panel.
The overview looks like:
Next,click on Real-Time option on the left.
Click on Overview
We find that the analytics excluded the filter(IP address) and is not seen in the above picture.
Go back to Admin tab and click on Test View
Now select Master View
Again click on Add Filter
Instead of Create new Filter radio button choose Apply existing Filter.
This will show us the filters available and the ones we created.
Now we see that the filter is in Master View as in previous it was in test view
Note: If we apply multiple filters to a view,each filter will be applied in the order they appear in our filter settings.
Navigating Google Analytics
This is my demo account of Google Merchandise Store
The graph above shows the number of visits per day.
On clicking on Asian part this is what I get…..
Coming back to Google Analytics demo
Below I have clicked on
Real time Reports :A medium through which we can keep track of number of visits by users per day and increase of customers by creating reports on analyzing latest trends.
Navigating through full reports
Here clicking on Audience->Overview in the left panel side shows the report here
Next by clicking on Geo I choose language where I can see under the Explorer panel Summary that gives summary of Acquisition,Behavior and Conversion.
Site usage shows the average numbers of users visited the page,page per session and average session time.
E-commerce is all about transaction methods.
Then I switch to Location present below Language in Geo category to get information on the locations of users and can see the image given below.
I can switch between various dimensions such as Country,City,Continent or SubContinent.
Then I can also add a Secondary dimension such as Device category to track the users device while viewing the particular page.
Clicking on each column of the data toggles information between ascending and descending.
The arrow in the column header is used to show which column we are currently sorting by.
We can use this default report created for keeping track of significant data such as traffic.
If we want to view information on a particular country we just type in the name in search button and click on search arrow it displays the information.
For each country the number of users,sessions,goal conversion are given in each row.
The image above contains visualization tools such as:data table,Pie chart,Bar chart,Comparison view and pivot table.
Next to advanced filtering options we can see different visualization techniques the default being data table this represents the ABC’s of analytics in the form of table given above.Clicking on data table I got this.
Similarly pie chart shows the info on how many users are using desktops,mobiles or laptops for viewing the particular page,we can even choose other category sub menu to add category.
Next is comparison view shows bar chart for each metric and is used to see whether performance is average or below average.Above average is shown by green and below average by red.
Then we have pivot table showing different comparisons on rows and columns.
Here we can see that the USA has 39.01% users visiting google merchandise store website,followed by India and other countries.
Here it is seen that most users use Chrome.
Windows tops the list in the number of users using desktop and pc’s.
Clicking on screen resolution I get this.
1-Day active users
Like this clicking on each button gives a different plot.
Lifetime value or beta testing
The age category of users who view the particular website.
Clicking on Real time->Traffic Sources I move on to source column and click on any random row it limits the users I am viewing.
To see if today’s content is viewed
Review today’s post or tweets
Real time->traffic sources
After visiting Google merchandise store website I get this
1 active user ie.., myself before it was zero.
Setting up dashboards and shortcuts:
Dashboards are useful for creating and viewing through reports.
Click on create we get
Choose Starter Dashboard
Give a name example “Google Store”.
We get this
Clicking on Add Widget let’s me to add a visualization form of viewing the data.
I can give title to the Widget and choose visualization type be it a timeline or pie chart or bar or Geomap.Then add metrics,Filter the data based on my specifications.
Sharing Template Links:
We can also share the link with others if more than one people are using the same account.
We can also Export the Report as PDF