(A.) Your task is to use the ‘Advanced Segments’ tool (see below) to create a segment that represents a subset of the visitors to the site.
The first segment I will be creating is “visitors from the Town/City called Belfast who also use the Internet Explorer browser”.
The below screenshot reveals that of 321visitors to the TRAIL website, 43 were from the Town/City ‘Belfast’ and also use ‘Internet Explorer’ as their preferred browser.
The below screenshot is a graph mapping the differences between overall visits to the site and those representing visitors from ‘Belfast’ that use ‘Internet Explorer’, from the 15th June to the 15th November 2010. The graph reveals that only a small percentage of total viewers to the TRAIL website are from Belfast and use Internet Explorer, only 58 out of a total of 929. But the bounce rate of our created segment is over 5% higher than that of all other viewers. This can probably be explained by students of the module COM425 visiting the page once for the purpose of their assignment, without taking an active interest in the website as a whole.
(B.) The second segment that you design is left to yourself. You can pick any variable combination.
For my custom segment I have selected the variables, visitor Operating System: Linux, Browser: Chrome and Screen Resolution: 12080×800. The screenshot below shows that out of 321 visitors, one person matches all of the variables!
The screenshot below shows that over the time period of 15th June to 15th November, only one of the 929 overall visitors to TRAIL fit the selected variables; Operating System: Linux, Browser: Chrome and Screen Resolution: 12080×800. the bounce rate of our one visitor is 100%, compared to the 67.31% of all visitors.
I chose ‘Linux’ as a variable because it is an uncommon operating system and I was curious as to how many students and visitors to TRAIL used it. This is also why I chose ‘Chrome’. Firefox is the default browser for most Linux set ups and I wanted to know how many of the discovered Linux users opted for Chrome over firefox. The chose the last variable, ‘Screen Resolution’, because at this point in the segmentation I was left with 2 visitors who fell under the category of my selected variables and I wanted to differentiate between the two. In the end I discovered that one user has a 1280×800 resolution and the other a 1360×768 resolution.
