With
Google’s reputation, it’s no surprise that the 2013 Econsultancy/Lynchpin
Online Measurement and Strategy Report found that 56% of businesses were using
Google Analytics (GA) exclusively for web analytics (Moth, 2013). It’s free,
user-friendly by providing data in easy to understand charts, and it’s
customizable so users can create reports that accurately portray their data to
meet their specific needs (Google, 2014). However, with the vast amount of web
analytic tools available, it’s important to make an informed decision on which
tool will successfully contribute to improving a brand’s marketing strategy.
Just because GA is well-known, doesn’t mean that it is the only tool you should
use to get the most out of your data. There could be other programs that help
supplement what GA cannot offer, such as Clicky.
Clicky is
a full-featured web analytic tool with 817,932 web
sites
depending on it to monitor, analyze, and react to their traffic in real time.
This tool provides its users with a simple, easy-to-use dashboard interface,
which contains all web traffic data so they do not have to do much researching
to find the information they are looking for. Like Google Analytics, Clicky
offers a free plan for those looking for all of the basics, such as content,
search, and referral reports, but also offers a variety of premium plans that
provide additional in-depth information. When signing up, all new accounts
automatically receive a free 21 day trial of its premium plan for up to three
sites and 1,000,000 daily page views (total, across all sites). After the
trail, Clicky will downgrade to the free plan, unless otherwise noted, which
provides analytics without charge for one site with under 3000 daily page
views. (Clicky, 2015).
Prominent features of
Clicky:
Real-time Data
During class discussion and while researching, many touched on the delay,
typically 24-hours, Google Analytic reports have and their frustration related
to not being able to see more recent data. GA has worked to address this issue
by creating Real Time Reports, which include six reports - Overview, Locations, Traffic Sources,
Content (or Screens, for Mobile App properties), Events, and Conversions. Each report displays (Google, n.d.):- the number of active users,
- the number of hits during each of the most recent 30 minutes
- the number of hits during each of the most recent 60 seconds
While this is a great
improvement from the 24-hour day delay for GA, Clicky can still consider its
real-time data feature unique because all of its data is up-to-the-minute
real time, not just a few reports. Users can almost immediately begin to see
data flow in the dashboard after pasting their specific tracking code into the
website template. Furthermore, users have the opportunity to add another piece
of code to the website to have quick access
to the Onsite Analytics Widget.
This widget will show up as a button at the bottom of the page and allows the
users to view how many total people are on the website and how many are on the
page they are currently viewing. The button is only visible to users when they
are logged in to Clicky, no one else can see it but the user. (Clicky, 2015).
Clicky’s dashboard is
far more insightful compared to Google Analytics because most of the important
data used is presented in a detailed summary upfront and can be modified for a
more deeper analysis of the data, rather than having to navigate the site for
visitor information, keywords, links, etc. Additionally, the dashboard provides
a comparison with data of the previous period, shown via red or
green percentage numbers to the right of each widget. The dashboard summary and
comparison help to give the users a complete picture of what’s happening on the
site and how the metrics are changing. With this information, users can make
strategic business decisions to further enhance campaigns, popular content,
etc. (Hall, 2014).
Visitor Information
and Actions
From the dashboard, Clicky lets users
see every visitor and every action they take on the website, including where
they come from, searches they made to arrive there, their referral sites and
their search path through their site’s content. This may not seem like a unique
feature because Google Analytics also has access to individual user data, such
as its Acquisition and Behavior reports, but Clicky takes visitor information a
step further. “Unlike Google Analytics, Clicky lets
you view detailed information on each individual user, such as IP addresses,
Internet service provider (ISP), location, operating system, Web browser,
referrer, visit length, sessions and actions during a specific visit, and more,”
(Angeles, 2014). Additionally,
users have the option to attach custom data to visitors, such as their
usernames or e-mail addresses, and can view each visitor individually to see
and analyze their full history. When it comes to
viewing and exporting this data, both tools offer easy-to-read graphs and
charts, in addition to being able to download the raw data. (Angeles, 2014).
Heatmaps
One of Clicky’s most
distinguishable features is its heatmapping capabilities, which “give users a
holistic view of what visitors are doing” and shows data such as
where visitors are clicking on pages. Plus, it can be segmented by goal or
visitor sessions. Users can visit any web page and view the heatmaps in real
time, right on the page being viewed – which is quite convenient. (Angeles,
2014). In addition to standard per-page heatmaps, Clicky also lets users view
heatmaps for individual visitor sessions. For example, users can see where a
visitor’s mouse went, which can provide insight into what they might have been
thinking. According to Clicky, Google Analytics does not offer heatmapping.
However, GA does offer In-page Analytics, which provides users with a visual
assessment of how visitors interact with their web pages (Google, 2015).
Bounce Rate
One of the reasons I chose Clicky as a
competitor to Google Analytics is because its definition of bounce rate is much
different and is very blog-friendly. In general, bounce rate tells users how
engaged their visitors were with the site, specifically focusing on who only
viewed a single page. Instead of considering a bounce someone who only visits
one page and then leaves, Clicky uses time to do decide.
The Bounce definition according to the
Clicky website:
“A visitor will only count as a bounce on Clicky
if they only view a single page and they were on your web site for less
than 30 seconds. We figure, if someone is there for at least 30 seconds, they
were at least mildly engaged and should not count as a bounce,” (Clicky, n.d.).
In order to track
time spent on the page, Clicky uses its tracking code to continuously ping its
servers while a visitor sits on a single page. This provides them with a more
accurate picture of how long the visitor was actually on the site. Clicky’s definition of
bounce rate is great for bloggers because someone may spend five minutes
looking at a single article and find what they need, which shouldn’t be
considered a bounce. Here’s a better example:
“Say you
have a blog post that you have shared on a few social media networks like
Facebook and Reddit, and you get 1000 visitors to it. Chances are that 95% of
these visitors will only view the article that is being linked to - one
pageview. Maybe half will read the whole article, half will read part of it,
and a few will click through to your front page to see more. Any other
analytics service would report a 95% bounce rate for these visitors. But a
bounce is negative, so it makes it sound like only 5% of these visitors were
engaged. But that's not true at all - half of them read the entire stinking
article!” (Clicky, 2010).
I prefer
Clicky’s definition because if a user is really looking to measure interaction,
quality, and stickiness, then they need to take dwell time into account. Here’s
a great comparison of bounce rate % on Google Analytics and Clicky.com. You can
see a major difference.
I also
prefer how Clicky measures the time spent on a website with pingback to get a
more accurate count of how long a visitor stays. GA measures the time by
looking at the next page view. For example, if a visitor were only to view one
page, Google Analytics will show that visitor as a 0:00 visit, regardless of
how long he/she spent on that specific page. Furthermore, “if a user visits
Page A and then Page B and then leaves, the entire duration of his time spent
on Page B will be written off as 0 seconds too.
This is why Analytics users see so many visitors reported under the
“0-10s” time duration,” (Grunwerg, 2013). Google did address this issue by
stating, “When a page is the last page in a session, there is no way to
calculate the time spent on it because there is no subsequent pageview. For
this reason, when Page A is the last page in the visitor’s session, its time
calculation is not counted for that view. In addition, when that page is the
only page viewed in the session, no time on page is calculated” (Google, n.d.).
Regardless, having a 0:00 second visit isn’t very helpful.
Additional Features
In addition to these prominent
features, Clicky offers Uptime monitoring so users can know when their site goes
offline and can react immediately, alerts for special events such as new
visitors, goals, campaigns and referrals, it’s mobile-friendly, offers
analytics for social media platforms such as YouTube and Twitter, and the list
goes on.
For a complete list of how
Clicky compares with Google Analytics, please read a feature-by-feature
comparison here: clicky.com/compare/google
Overall, Clickly seems like it would be
a great tool to use for a blog because it provides real-time data, a clear
overview of the audience, and easy access to additional data that can help make
informed strategic business decisions. However, in order to really get the most
out of this program, I think users would need to pay for the premium accounts,
which range from $9.99 to $19.99 a month (Clicky, n.d.).
References:
Angeles,
S. (2014, March 19). 3 Google Analytics Alternatives (and Why You Should Use
Them): Retrieved from: http://www.businessnewsdaily.com/6090-google-analytics-alternatives.html
Clicky.
(n.d.). Bounce Rate. Retrieved from: http://clicky.com/help/faq/tips/different/bounce-rate
Clicky. (n.d.). Pricing. Retrieved from: http://clicky.com/help/pricing
Clicky.
(2010, April 26). Why Clicky's new bounce rate is the best in the biz.
Retrieved from: http://clicky.com/blog/page/24
Grunwerg,
A. (2013, May 22). Clicky vs Analytics: Why Google Analytics Reporting is
Flawed. Retrieved from: http://www.searchable.co.uk/clicky-vs-analytics-why-google-analytics-reporting-is-flawed/
Google.
(n.d.). Real-Time reports. Retrieved from: https://support.google.com/analytics/answer/1638637
Google.
(n.d.). Time on Page. Retrieved from:
https://support.google.com/analytics/answer/1006924?hl=en
Google.
(2014). Why Google Analytics. Retrieved from: http://www.google.com/analytics/why/
Google.
(2015). About In-Page Analytics. Retrieved from:
https://support.google.com/analytics/answer/2558811?hl=en
Hall, S.
(2014, June 3), Analytics Update: Do you Need a Second Analytics Package?
Retrieved from: http://blog.crazyegg.com/2014/06/03/clicky-web-analytics/
Moth, D.
(2013, July 9). 56% of businesses rely exclusively on Google for web analytics:
report. Retrieved from: https://econsultancy.com/blog/63026-56-of-businesses-rely-exclusively-on-google-for-web-analytics-report/
Clicky is one the many platforms that is picking up the slack of Google Analytics - especially with the real - time reporting. Great Analysis!
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