Overview – Web Analytics
Remember the title of this blog –
Novice Introduction to Web Analytics, so the author wants to give an overview
of web analytics to start. In the author’s
opinion, it is very important for businesses to base decisions on Web
analytics. Web analytics systems “do an excellent job of supporting the
creation and deployment of digital dashboards and key performance indications
that provide business a critical view of sight activity” (Peterson, 2008). The
system quantifies visitors’ action such as visits to the site, pages views,
etc. Peterson states as more companies shift to doing business online the worst
thing is not understanding or analyzing what customers are doing to
online. In Peterson’s view executives that “aggressively pursue” a better
understanding of a customer’s experience online “will have a substantial
advantage over those who insist on a simplified view of visitor behavior on the
Internet” (Peterson, 2008).
Web analytics provide insights to
eight different metrics: “Visits and Unique Visitors, Time on Page and
Time on Site, Bounce Rates, Exit Rates, Conversion Rates, and Engagement”
(Kauskik, 2010, p. 59). Visits [sessions] reports include numbers of
visits to website. Unique visitors approximate the number of different
people to the website. Time on page measures the time a visitor stays on
a page and then time spent on a site. Bounce rates “measures customer
behavior, perhaps the most holy of the holy goals in measurement” (Kauskik,
2010, p. 51). Exit rate “measures how many people left the website from a
certain page” (Kauskik, 2010, p. 54) Conversion rates are either a visitor or a
unique visitor that turn into a purchase from a company’s site. Finally,
engagement is “trying to create a website experience that draw favorable
attention” (Kauskik, 2010, p. 56). Because of the overwhelming amount of
data that can be obtained from Web Analytic tools, it is important for
companies to decide on what to measure that is ultimately important examples
include sales, customer satisfaction and/or loyalty.
The author believes Google Analytics
is the tool to use. “More than
half of Fortune 500 companies are now using Google Analytics or Google
Analytics Premium and 30 new enterprises have switched to or added Google
Analytics in the past 9 months” (Farnia, 2012).
No reason to use another tool is there? The most important reason is GA
provides almost all needed metrics and is free.
GA Analytics “can show: 1) how people find a site; 2) how they explore
it; and, 3) how a site owner can enhance the visitor’s experience” (Reed
College of Media, 2015 – Lesson 5)
Fairmont Hotel – Google Analytics Use
The author looked at one of the case
studies highlighted on Google’s Success Story website – Fairmont Hotels. Fairmont “is a leader in the global
hospitality industry, with a distinctive collection and a worldwide reputation
for excellence” (Fairmont.com, 2015).
Fairmont “is a luxury hotel company with more than 60 distinctive hotels
and resorts worldwide” (Google.com, 2015). The author would consider Fairmont
Hotels an e-commerce site because many hotels chains find most people are
booking stays online. “With 57% of all hotel bookings made online and 97% of
all travelers searching for a place to stay using the Internet, the importance
for hotels to adapt best e-commerce practices is more important today more than
ever. A hotel’s website should be the property’s best sales representative,
persuading potential guests to book a room [on the site] and not with your
competitors” (n.d., 2014).
Fairmont’s Web Analytic Approaches
Fairmont “wanted to gain a better understanding and optimize social
media marketing efforts” because “more and more marketers are engaging with
their customers through social media channels” (Google.com, 2015). To better understand how Fairmont used Google
listen to the following video:
Fairmont “used campaign tracking variables to monitor
[particularly] Twitter campaign performance,” and, also, “employed advanced segments
to measure user behavior and conversion data” (Google.com, 2015). How did it work? Fairmount used Twitter to create an online
buzz to drive traffic to it online sites within its portfolio of hotels. However, the goal was for Fairmount to detect
and track website traffic produced by their tweets and see the results of
conversions. It is easy to traffic the referrals
from twitter.com to the website but the difficulty arises because “a
significant proportion of Twitter traffic doesn’t originate from twitter.com;
many Twitter users don’t use the web interface…many use desktops or mobile apps…and
a link might be forwarded” (Google.com, 2015).
So how would Fairmont be able to determine how this campaign worked?
The problem was solved by using Google
Analytics’ campaign tracking variables.
Barbara Pezzi, said, “The problem was solved. Campaign tracking variables allowed Fairmont
to tag links so that Google Analytics can recognize and measure non-AdWords campaigns that brought visitors to
Fairmont’s site” (Google.com, 2015). Simply
stated, tracking variables were applied to links in Fairmont’s tweets, these
variable then can correctly be attributed back to the respective tweet “regardless
of where the visitor found and click on the link” (Google.com). The process involves creating different URLs
and then using a shortening service to abbreviate them.
What
data did Fairmont collect?
Fairmont was able “to view how many
visits each campaign tweet generated as well as additional data such as bounce
rate and the number of percentage of new visitor” (Google.com, 2015). Fairmont
could determine “how tweets contributed to room billings, revenue and conversion
objective by clicking the ‘Goal Set’” (Google.com, 2015). Additionally, Fairmont could see what stories
resounded the most with customers. From
this the Fairmont took another step further to see what visitor looked at on
the site using more advance segments. Overall
results reported the “insights into effectiveness of Fairmont’s social media
campaigns” and “improved understanding of social media referred visitors”
(Google.com, 2015).
Other Idea
Fairmont has an incredibly extensive
website from the company’s history to special deals, etc. One thing the author
did not see was a blog. This may be
something that Fairmont may consider using. Additionally, the author would suggest possibly
generating the same campaign using another social media channel such as
Facebook. There is large segment of people
in what the author assumes in their target market not on Twitter and solely
uses Facebook. One interesting thing the author found on the
Fairmont site is an Affiliate
Program. The premise is an
affiliated partner that promotes Fairmont on their site could actually receive a
commission. The author assumes a retail website could use
this program. Certainly, Fairmont is
tracking this through analytics. One
last note about Fairmont, the company understand how important web analytics is
by actually employing a Director of Analytics and Search Optimization. In the
author’s opinion because of how important the web site is to Fairmont, having
this position in house make sense.
References:
n.d.
(2014). 10 Best e-commerce practices for
hotels. Retrieved December 6, 2015 from:
http://smartguests.com/blog/10-best-e-commerce-practices-for-hotels/#.VmRmjL9WLKE
Farina,
C. (2012). 51% of Fortune 500 companies
use Google Analytics. Retrieved December
5, 2015 from: https://www.e-nor.com/blog/web-analytics/51-of-fortune-500-companies-use-google-analytics
Google.com. (2015). Retrieved December 5, 2015 from: https://www.google.com/analytics/standard/success-stories/#?modal_active=none
Kaushik, A. (2010). Web analytics
2.0: The art of online accountability & science of customer centricity.
Indianapolis, IN: Wiley Publishing. ISBN# 978-0470529393
Peterson, E.T. (2008). The voice of
customer: Qualitative data as a critical input to Web site optimization. ForeSee
Results.