While universities
are scrambling to move from ‘product centric’ marketing to ‘customer centric’
marketing, industry is already shifting to ‘human
centric’ marketing. The
State of Online Analytics in Higher Ed confirms that higher ed. behaves no
differently when it comes to using web analytics to make marketing decisions. Slow to react and engage higher ed. currently
uses “web conversions centered around admissions inquiries and applications. Although
universities and colleges use their websites to interact with and provide
services to their constituents, 35 percent of the survey respondents indicated
they didn't track any conversions at all. This shows there is still a big gap
between the possibilities offered by online analytics in terms of data-driven
marketing decisions and the current practices in higher education.” (Joly, 2010)
This is
particularly alarming considering the growth of online programs. A recent study
released in January of this year, reports that 6.7 million students
are taking at least one class online.
Wouldn’t it make sense then to shift resources to digital marketing to
reach the consumers? Particularly in an
era when marketers are being pushed to show bottom line results, web analytics
solves a number of concerns. Metrics are readily available to help marketers
justify their digital marketing spend and provide invaluable insights as to consumer
behavior on the website. Web analytics are well understood in the business
world, but in the world of academia, the process and purpose are still a bit
fuzzy.
Essentially,
web analytics is the process of analyzing prospective student behavior on your
website. Metrics can reflect how prospects are finding your site whether it be
from another program website on campus, a Google search, typing in your address
directly, or other source. Metrics also reveal how much time prospects spend
looking at different pages and in what order they look at these pages. How many
times a visitor comes to your website before they convert and what path they
take to your CRM template is also helpful information to extract. Which pages repeatedly
result in visitors leaving your site may reveal areas for improvement. Learning
more about the prospective student, what information he is seeking, and his
intent can guide marketing decisions with regards to content and placement on
the website so as to better guide the site visitor to the ‘call to action’. In this case, it may be “Apply here” or “”Request
further information”. The ultimate goal is to guide prospects to conversion not
just drive web traffic and web analytics provides the information to determine
which features of the website are actually returning results. In the case of
higher ed., some sample key performance indicators are reflected below.

Source: SEO Moz
Web analytics clearly has a place in the realm of higher ed.
in translating marketing efforts to the bottom line. Insights gained can guide
marketing decisions which ultimately result in increased student applications.
References:
Joly, K. (2010, September). The State of Online
Analytics in Higher Ed. Retrieved November 2, 2013, from University
Business:
http://www.universitybusiness.com/article/state-online-analytics-higher-ed
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