nexus of tech
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MIT Midterm The Nexus of Analytics, Search Engines, Design, Content, and UsabilityTRANSCRIPT
S. Rosenberg
1 | P a g e
The Nexus of Analytics, Search Engines, Design, Content, and Usability
Introduction As the internet continues to grow, it becomes more unwieldy yet additionally comprehensive. Its digital
expanse becomes more chaotic but also better organized, more global but increasingly focused on the
local. This dichotomy persists as technology and innovation grapple to keep apace with the growing
immensity of the World Wide Web, which continues to increases in size, power, and functionality.
Nearly two billion people use the internet, yet that accounts for approximately only 25% of the world
population (IWS). As the user base expands, processing power continues to double roughly every 18
months and the capabilities of software programs evolve into ever-sophisticated applications. In the
early days of the internet, creating a website with a memorable URL was sufficient for getting found.
These days, however, any person or entity that wants to have an impact in the net abyss must consider
the interaction of web analytics and search engine marketing
(including optimization) as well as design, content and usability.
All of these functions are interrelated and must be focused on
learning about the user. If addressed holistically, each can
drive the other and potentially help a website achieve new
heights of success.
Web Analytics Even before a site is created, it is helpful to understand how it
will be measured. What good is a website if questions like who visits it, how many times, how visitors
interact and for how long remain unanswered? This information is critically important to businesses but
increasingly relevant to average internet users tired of publishing in a vacuum. According to Brian
Clifton, an internationally established web analytics expert, web analytics are “tools and methodologies
used to enable organizations to track the number of people who view their site and then use this to
measure the success of their online strategy“ (Clifton). This measurement, collection, analysis and
reporting of internet data is a process that helps webmasters understand their audience and learn what
“works” with them. The interaction between what users find attractive about a site and how to deliver
on those needs is discussed in the below Web Attractiveness section.
feedback about web traffic, but where do the numbers come from?
Collecting Data:
Off-site vs. On-site
Offsite metrics
There are two primary approaches to
collecting traffic data: off-site and on
Off-site analytics refers to online behavior
overall, which can be analyzed without owning
or operating a website. Off-site analytics
measure a website’s potential or opportunity
audience, its visibility or wider relevance to the
web community, and current
posting/comment activities) on the internet
analysis before creating a launching a new product.
independent of the visitor’s browser
(Clifton).
Logfiles
Within the off-site technique, w
information about requests made to the server, including about pages, images or
pdfs (Clifton). The W3C notes this information also
dates and can include demographic data
these log files can provide insights about the popularity of a particular site, although
their use is less popular with the introduction of page tags, which better
human interactions and reduce the workload for the host. Website owners are now
saved “from the expense and maintenance of running software to
archive information” (Clifton).
is discussed in the below Web Attractiveness section. Web analytics on its own provides
feedback about web traffic, but where do the numbers come from?
There are two primary approaches to
site and on-site.
refers to online behavior
overall, which can be analyzed without owning
site analytics
a website’s potential or opportunity
audience, its visibility or wider relevance to the
buzz (i.e.
ng/comment activities) on the internet (e-Ignition). Off-site analytics is akin to performing
analysis before creating a launching a new product. Information is aggregated by web servers
independent of the visitor’s browser, which is why the technique is known as server side collection
site technique, web servers such as Google collect logfiles, or
information about requests made to the server, including about pages, images or
). The W3C notes this information also contains session start and end
dates and can include demographic data (Hallam-Baker, Behlendorf). Analysis of
these log files can provide insights about the popularity of a particular site, although
their use is less popular with the introduction of page tags, which better account for
human interactions and reduce the workload for the host. Website owners are now
ntenance of running software to capture, store and
Source: Advanced-Web-Metrics.com
S. Rosenberg
2 | P a g e
Web analytics on its own provides
site analytics is akin to performing a market
nformation is aggregated by web servers
server side collection
, or
information about requests made to the server, including about pages, images or
art and end
Analysis of
these log files can provide insights about the popularity of a particular site, although
account for
human interactions and reduce the workload for the host. Website owners are now
, store and
Schematic logfile methodology:
The web server logs its activity to
a text file that is usually local.
The analytics customer views
reports from the local server.
Source: Advanced-Web-
Metrics.com
Metrics.com
S. Rosenberg
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Onsite metrics
On-site analytics refers to a visitor’s interaction with a particular existing site, such as where visitors
spent their time, what encouraged a purchase, what caused the user to leave the site, etc. On-site
analytics are as if the site owner could watch over the shoulder of a web visitor to see how he or she
reacts to the site. Information is collected via the visitor’s web browser and is mostly used by
outsourced, hosted vendor solutions, which is why the technique is known as client-side collection
(Clifton).
Page tags
Within the on-site technique, visit information is identified by that user’s web
browser. A code on each page of a visited website pulls browsing activity
information. This code is usually in the JavaScript language. The relative simplicity
of the code, or rather its focused purpose, lends itself to the name “tags.” These
page tags send information typically to a third party solution such as Google
Analytics or StatCounter, both free options. For-hire companies like Omniture
provide even greater sophistication.
Although in recent years page tagging has grown more commonplace, it is a mistake to assume that the
client-side technique is superior. In reality,
neither approach is sufficient on its own;
ultimately, choosing a method depends what
type of information is desired. As the chart on
the left shows, the advantages of one
technique counteract the disadvantage of the
other. Combining both approaches is known as
the hybrid method, a model some vendors
provide (Clifton).
Types of Metrics
According to the Web Analytics Association
(WAA), an industry standards organization,
there are three quantitative types of web
analytics metrics: counts, ratios, and key
Schematic pagetag methodology:
Page tags send information to
remote data collection servers.
The analytics customer views
reports from the remote server.
Source: Advanced-Web-
Metrics.com
Source: Advanced-Web-Metrics.com
S. Rosenberg
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performance indicators (KPIs) (WAA) A fourth term, dimension, is used to describe types of segments or
counts, and represents visitor behavior or site dynamics. Examples of dimension include an event or a
referrer. Counts, on the other hand, are a single number, such as site visits. Ratios are typically a count
divided by a count, though a ratio could be in either the numerator or the denominator. KPIs are
frequently a ratio that ties into a business strategy. The WAA also notes that a metric can apply to three
different “universes”: aggregate, segmented, and individual. The WAA defines them as follows:
Aggregate is a term used to describe total site traffic for a defined period of time. Segmented metrics
are a subset of the site traffic during a defined period of time, but are filtered “to gain greater analytical
insight.” (WAA)Traffic could be filtered by campaign (e-mail, banner, pay-per-click, affiliate), by visitor
type (new vs. returning, repeat buyers, high value) or by referrer, as examples. Individual metrics refer
to the activity of a single web visitor for a defined period of time. It is implied that all measures and
metrics refer to a human visitor.
Quality of Information
There are a large number of measurement ratios that can shed light on the performance of a particular
site. In the end, measurements are only as good as the context in which they exist and the insights that
people can glean from them. Knowing how many people visited a particular website, for example, does
little good if the number cannot be compared to previous performance, or if the figure does not specify
a time period. The term precision is used to describe the concept that data is most helpful if it is in
reproducible and repeatable, as it lends credibility to overall trends and provides actionable
information. In other words, it is better to know that a site has 30% more visitors than the previous
month than to just know you had 10,000 views this month.
Common Web Analytic Metrics
There are numerous metrics available, but ultimately the decision to focus on which figures depends on
what goals a site aims to reach. Popular, frequently used metrics include visits, page views, pages per
visit, unique visitors, new visitors, repeat visitors, return visitors, duration, referrer, click-throughs, click-
through rate, and bounce rate. Below is a table that includes definitions, type of metric, its universe(s),
and a comment. Information included in the table comes from the WAA’s “Web Analytics Definitions”
manual. In addition to the below tools, web services like Google Analytics can also determine
geographic information such as from what state visitors are browsing from.
Metric Definition Type Universe(s) Comment
Visits Multiple interactions Count Aggregate, Typically 30
on site within single
session
Page views # of times page is
viewed
Page views per
visit
# page views in
reporting period/#
visits in period
Unique visitors Same visitor over two
reporting periods
New visitors
Unique visitor with
first ever visit during
period
Return visitors Unique visitor returns
in next reporting
period
Duration Length of time in a
session
Referrer Page URL originally
generated request
for current page
Click-throughs # of times a link was
clicked by a visitor
Click-through rate # click throughs of
link/ # times link
viewed
Bounces Visits with only one
page view
Available Analytics, My Usage, and the Future of the Industry
All of the above metrics are available for free to anyone with a site of any sort. As mentioned earlier,
Google Analytics and StatCounter are
free and easy to use. Newcomers such as
Woopra and Crazy Egg have free versions
that are increasingly sophisticated. Crazy
Egg’s, for example, shows exactly where
people are clicking then displays the
information as a “heat map.”
these would theoretically work on my MIT
Wordpress blog, Reflections of an MIT
on site within single Segmented
# of times page is Count Aggregate,
Segmented
# page views in
reporting period/#
Ratio Aggregate,
Segmented,
Individual
Same visitor over two
reporting periods
Count Aggregate,
Segmented
Unique visitor with
first ever visit during
Count
Aggregate,
Segmented
Unique visitor returns
in next reporting
Count Aggregate,
Segmented
Length of time in a Count Aggregate,
Segmented
Page URL originally
generated request
for current page
Dimension Aggregate,
Segmented,
Individual
# of times a link was
clicked by a visitor
Count Aggregate,
Segmented,
Individual
# click throughs of
link/ # times link
Ratio Aggregate,
Segmented
Visits with only one Count Aggregate,
Segmented
s, My Usage, and the Future of the Industry
metrics are available for free to anyone with a site of any sort. As mentioned earlier,
Google Analytics and StatCounter are both
free and easy to use. Newcomers such as
versions
are increasingly sophisticated. Crazy
exactly where
people are clicking then displays the
information as a “heat map.” Any of
work on my MIT
Reflections of an MIT Weeks 35-42: better post again soon!
S. Rosenberg
5 | P a g e
minute session
time
Flash, Ajax, RSS
not auto included
Ratio of above
Reflects # of
individual users
Each counted only
once
Helpful for loyalty
information
Time between last
and first activity
Subtypes: Internal,
external, search,
visit, original
Typically
associated with
advertising
Reported within
same time period
as click-throughs
Different than
single page visit
metrics are available for free to anyone with a site of any sort. As mentioned earlier,
42: better post again soon!
Wannabe, but I use the built-in analytics gear as a matter of convenience. From my dashboard I have
access to a chart of views per day, weeks, or months. I am also automatically notified
search engines that send traffic. Another nice feature is the ranking of posts by views, either over 7
days, 30 days, the quarter, the year, or for all time.
Entrepreneurship Blog) but because this blog is Wordpress (freely) hosted I do not have as much control
over coding. If I wanted to add the tracking code for Google Analytics I would need to use an html
widget, though perhaps a professional coder could find a workaround. Since
industry emerged in 1993 with WebTrends in Portland, Oregon, but came int
com collapse. Solutions evolved from basic “hit” counts to providing actual business insights.
sense the industry is counter-cyclical,
Byrne, an analyst at CMS Watch notes, “
making good decisions.” (Karpinski
evolve again. New firms like Demand
marketing data to determine what companies are browsing a site at any given moment.
leads to far greater insights. Chris Golec, CEO of DemandBase, sees the potential. He sums up,
"Companies have no idea what percent of their web traffic is actually from their target customer base.
They may know they have 100,000 visitors, but they don't know if 10% or 50% of those visitors are
actually potential customers. There's tremendous potential
into actual leads." (Karpinski) Beyond aggregate concepts, new trends
Journal of Market Research point to a
human at the center of online marketing strategies
A nice bump in page views of late
in analytics gear as a matter of convenience. From my dashboard I have
access to a chart of views per day, weeks, or months. I am also automatically notified
search engines that send traffic. Another nice feature is the ranking of posts by views, either over 7
days, 30 days, the quarter, the year, or for all time. I could use Google Analytics (I use it for the Terry
ut because this blog is Wordpress (freely) hosted I do not have as much control
If I wanted to add the tracking code for Google Analytics I would need to use an html
widget, though perhaps a professional coder could find a workaround. Since I only have a two
template, when I add such a widget (even if I
leave it invisible) it disrupts my entire template,
pushing everything in the right column down
below the posts. For this reason I am continuing
to use the perfectly adequate built
The Future of Analytics
A theme emerged as I research
myself with the topics contained in this report
Interestingly, I learned that the web analytics
WebTrends in Portland, Oregon, but came into its own around the dot
Solutions evolved from basic “hit” counts to providing actual business insights.
cyclical, making dollars count when they are the most
Byrne, an analyst at CMS Watch notes, “As companies have less to spend, they are investing more in
(Karpinski). Now in another economic downtown, web analytics is poised
New firms like DemandBase combine traditional web analytics with massive amounts of
marketing data to determine what companies are browsing a site at any given moment.
leads to far greater insights. Chris Golec, CEO of DemandBase, sees the potential. He sums up,
mpanies have no idea what percent of their web traffic is actually from their target customer base.
They may know they have 100,000 visitors, but they don't know if 10% or 50% of those visitors are
actually potential customers. There's tremendous potential to turn that [as-yet undifferentiated] traffic
Beyond aggregate concepts, new trends presented by the International
Journal of Market Research point to a focus on creating learning organizations that put
n at the center of online marketing strategies (Rubinson). This new frontier could lead to
of late!
S. Rosenberg
6 | P a g e
in analytics gear as a matter of convenience. From my dashboard I have
access to a chart of views per day, weeks, or months. I am also automatically notified of referrers and
search engines that send traffic. Another nice feature is the ranking of posts by views, either over 7
I could use Google Analytics (I use it for the Terry
ut because this blog is Wordpress (freely) hosted I do not have as much control
If I wanted to add the tracking code for Google Analytics I would need to use an html
I only have a two-column
template, when I add such a widget (even if I
leave it invisible) it disrupts my entire template,
pushing everything in the right column down
below the posts. For this reason I am continuing
to use the perfectly adequate built-in analytics.
researched to acquaint
myself with the topics contained in this report.
, I learned that the web analytics
o its own around the dot-
Solutions evolved from basic “hit” counts to providing actual business insights. In that
making dollars count when they are the most scare. As Tony
As companies have less to spend, they are investing more in
). Now in another economic downtown, web analytics is poised to
combine traditional web analytics with massive amounts of
marketing data to determine what companies are browsing a site at any given moment. This approach
leads to far greater insights. Chris Golec, CEO of DemandBase, sees the potential. He sums up,
mpanies have no idea what percent of their web traffic is actually from their target customer base.
They may know they have 100,000 visitors, but they don't know if 10% or 50% of those visitors are
yet undifferentiated] traffic
presented by the International
creating learning organizations that put the individual
This new frontier could lead to auto-
S. Rosenberg
7 | P a g e
customized pages for each user, rendering moot traditional web analytics. As analytics increasingly
becomes about understanding the individual user, all users should benefit.
The Skinny on Website Attractiveness An attractive website will catch the attention of visitors and encourage them to
interact, stay awhile, and return often. The word “attractive” conjures notions of
aesthetics and design, yet there is much more to an attractive website than eye candy.
What good is a site that looks pretty or cool but has no helpful content? If there is
content, why would anything other than what the visitor wants to know be of value?
What if the site has the desired information but is difficult to navigate or complicated
to read? What if the site is never found to begin with?
These questions represent the disciplines of web analytics, search engine marketing
(including search engine optimization), design, and usability that when applied in
concert can create an attractive site. The debate over the importance of one over the
other continues and predictably egos abound. The director of Visual Design at Google,
Douglas Bowman, left the company after a project team insisted on testing 41 shades
of blue, and debated endlessly over how many pixels wide to make a border (Stop
Design). Others are so enthusiastic about usability that sites end up exceedingly
unappealing. There is a growing consensus that these separate disciplines must work
together if a site plans to serve its audience and thereby find success. Below is an
overview of elements that contribute to site attractiveness accompanied by examples.
Design
In modern web design, too much of a
good thing can be disastrous. An
attractive sight balances its content with
an aesthetically pleasing color scheme,
an appropriate use of graphics, and an
easy to understand interface. Every
development decision should reflect the
Mint.com, a financial services company recently bought by Intuit, is known for its
simple, clean design.
S. Rosenberg
8 | P a g e
purpose and offerings of the site. Generally, using tables to create columns and line up text when
paired with transparent line borders creates a
clean, professional look. Using graphics and images that tell the story of the content are a great way to
enhance what the visitor remembers after leaving the site. A site should also resist the urge to fill up
the screen; white space between objects and text areas diminishes the sense of crowding and
encourages visitors to continue browsing. Consistency is another important area of design. Every page
within a website should share a common theme or template to reduce confusion. Consistency is not
only aesthetically pleasing but makes the overall site easier to use. Designers should also avoid
overindulging in Flash or other animations lest such effects distract or irritate the visitor. Web designer
should also try and ignore the temptation to add unprompted music or sound effects to a site, a sure
way to irritate visitors. Overall, make every decision count. The best information should make it on the
web, not the rest.
Usability
There is literally more to an attractive
website than meets the eye. An
intuitive web design that facilitates user
interaction with simple sophistication
can reach a certain level of elegance.
One of the most important attributes is
clean code which reduces page load
time. Visitors have itchy back-button
fingers; in today’s environment
something as simple as a loading site
can not only permanently lose a
potential visitor but also reflect poorly on the overall brand. Once on-site, the navigation should be
easily identifiable, clear and concise, and consistent across pages. Page title URLs should describe what
the viewer is looking at so the content is memorable, professional, and clear. In the body of the page,
everything critical, including the value proposition of why the site is of value to the user, should appear
“above the fold,” or in this case visible without scrolling downward. The content should be easy to read,
with main points in bullets or primary terms in bold. An industry rule of thumb is that a site’s main page
should be “digestible” within approximately 5 seconds; a site that asks the visitor to take time to
MailChimp.com, an email campaign manager developed in Atlanta, is acclaimed for its
cutting edge usability and overall design
S. Rosenberg
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understand undo complexity risks a high bounce rate. Finally, any ads or sponsorships on the website
should remain unobtrusive and ideally flow with the rest of the site’s design. The future promises even
simpler sites that load fast, get to the point, and are viewable on mobile platforms.
Search Engine Marketing (SEM) and Optimization (SEO)
Search engine marketing is a discipline that seeks to promote websites by increasing their visibility in
search engine results pages like Google’s. Techniques for doing this include paid placement (paying per
click), contextual advertising (ads are generated according to content displayed), and paid inclusion
(paying to be listed in a search engine – Google does not do this). Search
Engine Optimization, on the other hand, attempts to organically raise
a site in a search engine’s results page by optimizing a page for
what search engine spider “bots” look for. Though the
algorithm used by search engines like Google are secret (to
prevent people from gaming the system), it is known that the
more links pointing towards a particular site the better, as the site
will be perceived as having a higher value. The driver of the value,
however, is a site’s relevance to its users. When people use a
search engine, they employ keywords to help them track down sites
that are relevant. These keywords are at the heart of what people
are looking for. Google’s keyword tool allows anyone to see how often particular terms are entered. A
site designer needs to “optimize” a site so it is categorized as having a high relevance to desired search
keywords. There are a few key ways to optimize a site to move it up in search results. These include
identifying keywords relevant to the site, inserting keywords into page title tags and URLs, attempt to
have others link to the site using the keywords, minimize the use of Flash, link the site internally using a
tag cloud, register the URL with directories, and concentrate on producing content others will link to
(Null).
The Nexus of Success
Visitors who land on an optimized site likely found it for a reason; the use of SEM and SEO tactics pushes
traffic to a site. Once there, the utilization of keywords, design, and usability assures visitors that they
are in the correct place then provides an engaging experience. Web analytics then come into play,
Source: advdigitalconsulting.com
S. Rosenberg
10 | P a g e
helping to provide insights about where traffic is coming from (and by extension not coming from) and
in what quantities.
Personal Blog Application Today’s web offers hobbyists like me myriad options for turning a site vision into reality. Though I am
far from technically endowed, I like to think I have an eye for design. When I created my MIT blog I went
through probably a hundred potential templates before I found one that felt right. Though tweaks are
in order, overall I am pleased with its look, feel, and usability.
To take this blog to the next level of design and usability, however, I plan to purchase a custom URL and
have the site professionally hosted. These steps will provide me with more control over the code and
will open up access to additional widgets. I will use this control to employ better social sharing buttons
and to remove the “Meta” widget, which for some reason I am unable to do. More importantly, a
custom URL and hosting enables a blog email address. A blog-specific email address tells the story of
how a person got in contact with me and enhances the site’s professionalism.
So while I am in no rush to change the look of my site, there are many opportunities to increase its
attractiveness through SEO (I am not in the market to pay for SEM). For starters, my new URL and page
title will include ”MIT,” as Google’s keyword tool tells me the term has been searched nearly 25 million
times this month. Comparatively, “Stephen Rosenberg” (currently in my URL) was searched a mere
1,600 times. I will then manually register the site with Google and the legion of other available
directories available. I have already been assigning page URLs with the post title, but I will optimize
those titles as well. For example, “web productivity” was only searched 880 times this month whereas
“web technology” was searched more than 33,000 times. I changed the title accordingly. While it is
likely premature to determine if these minor changes had any real effect, I had 1 visitor on Tuesday, 7
on Tuesday, and 14 already today on Thursday, October 15, representing a 1,000% change. Now that I
am more comfortable with these tactics I plan to consider optimization in all future posts.
S. Rosenberg
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Karpinski, Rich. “Analyzing analytics 2.0.” B to B. 3/9/2009, Vol. 94, Issue 3. Database:
Business Source Complete.
< file:///C:/Users/User/Documents/Class%20Notes%20Fall%2009/MIT%20-
%20Net%20Tech/midterm/Analyzing%20analytics%202.0%20-%20future.htm#db=bth&AN=37558722>.
Burby, Jason. Brown, Angie. (WAA) "Web Analytics Definitions." Web Analytics Association 16
Aug. 2007. 11 Oct. 2009
< http://www.webanalyticsassociation.org/attachments/committees/5/WAA-Standards-Analytics-
Definitions-Volume-I-20070816.pdf>.
Clifton, Brian. "Increasing Accuracy for Online Growth." Advanced-Web-Metrics.com Feb. 2008.
11 Oct. 2009 < http://www.advanced-web-metrics.com/docs/accuracy-whitepaper.pdf>.
e-Ignition. 2003. Edinburgh. 13 Oct. 2009 < http://www.e-ignition.co.uk/e-marketing/website-
analytics/>.
Hallam-Baker, Phillip. Behlendorf, Brian. "Extended Log File Format." W3C. 12 Oct. 2009. <
http://www.w3.org/TR/WD-logfile-960221.html>.
Internet World Stats (IWS). 2009. Miniwatts Marketing Group. 11 Oct. 2009
<http://www.internetworldstats.com/stats.htm>.
Null, Christopher. "Search Engine Optimization for Your Website." PC World. Rpt. in
Entrepreneur Magazine.com. Dec. 4, 2009. Oct. 13, 2009.
< http://www.entrepreneur.com/technology/pcworld/article199208.html>.
Rubinson, Joel. "It’s about learning." International Journal of Market Research. Vol 51. Issue 4.
(2009): 553-556.
Stop Design. 2009. 13 Oct. 2009
< http://stopdesign.com/archive/2009/03/20/goodbye-google.html >.