Working with Analytics


Google Analytics,the process of collecting data and converting them into useful reports.This process is heavily used in marketing by huge enterprises like Google,Amazon,Flipkart and many more to increase their product value in today’s market.This is a useful tool that monitors the traffic,number of users visited a particular website. In order for tracking we make use of a small javascript code that is pasted on the website.When the admin goes to the View settings they can see through the number of visits,traffic control and can also modify,add user access,configure settings and collaborate by sharing data or settings.

Working with Google Analytics Account

To create Google 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

Before Change:

After Change:

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.

3)Using Filters

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

Choose Filters

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.

Bar chart

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.

Share Reports:

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.

Active Users:

1-Day active users

Like this clicking on each button gives a different plot.

Lifetime value or beta testing

Demographic Overview:

The age category of users who view the particular website.

Real-Time Reports

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.

Real time->Conversions

To see if today’s content is viewed

Real time->Content

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

Enthusiastic Learner and Explorer of different dimensions.