Glassdoor Employer Branding Summit Presentation: Jennifer Tharp
511 Web Analytics, Assignment #3 Dr. Tharp David Paehlke ...
Transcript of 511 Web Analytics, Assignment #3 Dr. Tharp David Paehlke ...
511 Web Analytics, Assignment #3
Dr. Tharp
David Paehlke
Overview:
This dashboard is reflecting activity that is has taken place from November 8 through
December 8 2011. This information is the first page of the analysis of UW Stout’s
website. Activity is high, and there is an average of around 3 pages viewed with an
average of 5 minutes spent per visit. While 88% of visitors are returning, about 12% are
new. This could be due to the timing within the semester. Peak visiting times are during
the week with the number of visitors decreasing around the weekend.
511 Web Analytics, Assignment #3
Dr. Tharp
David Paehlke
Demographic:
The majority of visitors are from the United States with the main language that is used is
English. UWStout does have some unique followers from different countries that are
showing up with a small percentage of visitors.
511 Web Analytics, Assignment #3
Dr. Tharp
David Paehlke
Behavior:
The majority of the visitors are returning with about 12% considered new visitors.
Visitors that have visited the site the most and with the most page views have visited
UWStout over 200 times.
511 Web Analytics, Assignment #3
Dr. Tharp
David Paehlke
Technology:
Internet Explorer, Firefox, Safari, and Chrome were at the top when it comes to the
browser that is being using to access the UWStout. While the University of Wisconsin
Stout’s Network had the majority of use for visitors there were many other companies
providing access, this get be for online and distant learners.
511 Web Analytics, Assignment #3
Dr. Tharp
David Paehlke
Mobile & Visitor’s Flow:
Around 17,500 visitors used mobile devices to access the site. Their time spent, and the
number of pages viewed was lower than the non-mobile users. Three of the top five
mobile devices used were Apple products with HTC at the number 5 position and the top
mobile device use was unidentified.
511 Web Analytics, Assignment #3
Dr. Tharp
David Paehlke
Visitor’s Flow:
The visitors flow analysis shows 100,000 visits. It shows what country the visitors are
from and a flow chart of how the visitors move throughout the website. It breaks the total
amount of visitors from a specific country down to where and how they maneuver from
page to page.
511 Web Analytics, Assignment #3
Dr. Tharp
David Paehlke
Traffic Sources:
The overview of the traffic is showing what type of traffic is using the site. The majority
of the traffic that is being generated is through a search. The second screen shot is
showing where all the traffic is being generated from. This shows that an organic search
ranks 1, a direct connection to the site ranks 2, and a google search is 3.
511 Web Analytics, Assignment #3
Dr. Tharp
David Paehlke
Content (Management):
The content drilldown is showing where visitors are going within the site. Page views are
used to determine the analysis by the number views that hit each content page.
511 Web Analytics, Assignment #3
Dr. Tharp
David Paehlke
Management (bsm) compared to past:
This is a view of the Management College compared with date coming from the
beginning of October 2011. Page views are all higher in numbers from October 8
through November 7. The largest change was in ‘public relations’ which dipped 57.69%
from October 8 to current data analysis. The lowest change was in ‘meet the faculty’
where the change was 18.2%. Visitors the visited the ‘apply’ page to the College of
Management went from 109 views to 70. For visitors that were looking at the ‘graduate’
page went from 58 to 42.
Overview:
A college’s website has so many different visitors and specific locations within the site
that it seems like the breakdown could go on and on. As an analyst you need to know
what data is needed for a specific area with in the school. As for the University of
Wisconsin Stout, traffic has slowed down in specific area due to the time of the school
year. Registration time is significant. I see an increase coming again after the holidays
due to high school seniors taking interest in searching for colleges and what the have to
offer.
511 Web Analytics, Assignment #3
Dr. Tharp
David Paehlke
Thompson-Reuters Case Study
Similarities:
There were many similarities between both scenarios for Mr. Smith that caught my
attention. The first big change that was identified in both studies was to change the name
of the firm. This change would separate the firm from other firms with similar naming.
Second, I found that both studies were sound on building a relationship with Mr. Smith.
The consultant wanted to know goals of the company and any specific information that
would assist in creating a website that would attract clients to the firm long-term.
The key for Mr. Smith was to identify specific areas in which his firm would
specialize, this would help in associating keywords to be used for the search engines, and
this was identified in the first study. Both studies have Mr. Smith purchasing landing
pages to establish a presence geographically outside of the metro area to attract more
clients. The firm also invested in ‘TopSpots’, which would get the firm identified in the
find.law directory.
The consultant encouraged the firm to add videos to attract clients to move around in
the site. Both studies had ways to integrate incoming phone calls from possible clients to
track and analyze the data comparing it to through the use of the website.
Differences:
The first study kept me rereading it due the things that they used to build the site
compared to the second study. It seems more detailed and with the graphical reports
seems more real.
The first study concentrated on the firm making a connection through the website with
its clients by utilizing a blog and a click-to-chat. The second study had no reference to
adding these elements as a way of communication with current or possible consumers.
The second difference was the use of finding key word reference. Key words are
important to have a site identified through the Internet and a browser. There was no
mention of this in the second study. Then there is the working data going back to 2005
that shows the product at work. Without this data for the firm to see, they have no idea if
what they are paying for and the decisions they have made have been worth while.