Blog 5 | Module 2
Week 5 | Module 2 | Blog 5
Lectures
In Lecture 9: Introduction to Web analytics we learned about
web analytics and its various concepts. We also looked at the various web
metrics and key performance indicators that are important in web analytics. Web
analytics is defined as the measurement, collection, analysis, and reporting of
Internet data for the purposes of understanding and optimizing web usage. Then
we saw the Web Analytics lifecycle and its similarities to the BI lifecycle.
Web analytics answers the five W’s questions that help us analyze and measure user
actions, location, motivations, audience demographics and the timing of visits.
This lecture also talks about the types of web traffic and their differences, the
various web metrics and key performance indicators that are important for web
analytics
In Lecture 10: Google Analytics we
looked at Google Analytics which is a tool for web analytics by goggle and its
features. Google analytics has various features that are very useful to perform
website analysis. The types of analysis that we can perform using this tool are
Dashboards: to look at the
overview of the website or subcategories. You can have multiple dashboards
which can either be starter dashboards that come with the tool or the custom
ones, which we can create.
Audience Analysis: This tells us
who our audiences are, what are their characteristics, and their behaviors.
Under this analysis, we can view the various dimensions like location,
behavior, technology, visitors flow to understand your audience better. Over
these dimensions, one can analyze users over geography, language, devices,
returned users, and many more using the standard reports provided by this tool.
Traffic Analysis: This tells us
how the users get to our website, what gets them to the website and SEO
optimizations. The preexisting reports under these sections have abilities to
provide overviews, sources, search engine optimizations and social referrals.
This week we covered Module 3 Web
Analytics. In the first part of the module we learned about web analytics, the
questions it can help answering and the various web metrics and KPIs that are
involved in a website analysis. We then learned how to use google analytics to
perform web analysis. This weeks assignment helped cementing the modules
learning as we used Google Analytics and its various features (Dashboards, Reports,
and Analysis) to perform full website analysis and provide meaningful feedback
and recommendations for.
Readings
An Introduction to Web Metrics
This article was an excellent
reference for this week’s assignment. This article talked in detailed about the
various web metrics, the strategy behind building them, web analytics tools, and
the challenges that come with our data. We looked at the various web metrics
divided into measures to control and analyze and from a business and customer point
of view. These are then mapped to business goals to create a metrics plan that
would help answer questions that would help with our website analysis. Once we
have a plan we need a tool to implement it and so we look at tools and their considerations.
We look at various reports that can be used for web analytics. Lastly, we look
at recommendations and pitfalls of our data and analysis, how can we tie it together
in a meaningful way to best answer our questions and goals.
This article contained a
comprehensive list of web analytics terms and definitions. This was a very helpful resource to better
understand the terms we used in the previous readings. I personally found this
article very helpful as this was my first time using google analytics for assignment
3 and this served as a great resource whenever I got a little confused or encountered
a new term.
This article was a great
introduction for the google analytics tool. It includes explaining the tool and
the uses for it, I love how this article drills down further to explain the
tools uses for different users with examples.
Then we move on to discuss how
this tool answers questions that an organization might be interested in using
reports and filers. Lastly, it backs up all the points discussed with a very
informative case study
This reading enlists the differences
between search advertising and advertising in print, outdoor and on broadcast
media (Traditional Advertising). This really helped in better understanding the
two concepts and their differences.
Hi! Your blog is very comprehensive and your articles are complementary. Nice Job! I too found blogs on the pitfalls very helpful.
ReplyDeleteHi Kat!
DeleteThank you for taking the time to read and commenting!
I'm glad you liked my summary and my articles were able to help you learn something new :)
Hi Yashree! Great synopsis of Module 2! I really like the visualizations your used to support your summary. I took found the articles you posted which helped me with our Google Analytics homework, which are great articles to share with others. Thanks for sharing!
ReplyDeleteHi Adrienne,
DeleteThank you for taking the time for reading and commenting!
I'm a visual thinker and have often found that visualizations help me understand concepts and flow better; and so I try my best to include them in my blogs whenever I can.
I'm glad my articles where of help to you :)
I enjoyed reading this blog Yashree! You did an excellent job distilling multiple complex ideas into a limited space. I enjoyed the additional resources you gave as well.
ReplyDeleteHi Matthew,
DeleteThank you for taking the time to read and comment on my blog!
I am guilty of really long blogs in the past, so this time I tried my best to be a little more concise hehe.
I'm glad you enjoyed reading my articles and blog :)
Thanks Yashree for the excellent write up and the external links, as always very detailed and comprehensive. After learning about all these metrics on this week lectures, I feel now I have different prospective when I visit any website.
ReplyDeleteHi Ali,
DeleteThank you for taking the time to read and your kind words!
I tried to be a little more concise this week with my blog and I'm glad that you enjoyed reading it.
Me too! This module has given me a better understanding and a whole new perspective when it comes to web analysis.
I cannot wait to use this tool in my future projects