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Computer Science

web analytics


STUDENT 1: Clint

Hi everyone,

For this week I chose the term “bounce rate” frankly because I had never heard of it before. Bounce rate can refer to a web page or website as applicable. Bounce rate is calculated by bounce rate divided by the total number of entries * 100 to give you a percentage. On that note bounce rate is a percentage value. The “bounces” are visitors that have left a web page and continued to another site rather than exploring the rest of the available web pages the site has to offer. I think of it as retention rate for videos. I’m not a YouTuber, but I do know about the new system they’ve implemented and it seems to be the same concept. (More ad revenue is generated for those who watch the entire video and video length is taken into effect.) I found an article on how google analytics calculates bounce rate as well and tips and tricks for reducing this metric. An interesting aspect of bounce rate is that it is very relevant to any website. If the bounce rate is very high then that implies that the website/page is not what the visitors are needing from your site. This is an interesting because this data has many implications. How effective was this page at generating profit or are search queries actually helping the customer? A lot of questions would be left to guesswork without this method of measuring visitor retention. I’m sure there are many more methods that can be researched without much effort.


Works Cited:

11 powerful methods to reduce bounce rate in Google Analytics. (2018, January 15). Retrieved February 14, 2018, from

STUDENT 2: Brandon

Good Evening Class,

Throughout the world, computers are constantly running code or scripts in the background of all of our favorite websites, from the most popular of social media sites to even the local clothing store. One of the most popular scripts that run on a decent percentage of all websites is JavaScript which is used for "displaying timely content updates, or interactive maps, or animated 2D/3D graphics, or scrolling video jukeboxes, etc. — you can bet that JavaScript is probably involved." (1) Within the language are something known as tags. Tags are basically what defines the certain sections of code within the language. The placement of these tags determines what is within or outside of the different sections and where certain actions are to take place and where they are suppose to go.

The reasoning behind choosing the topic of JavaScript is because of its importance for the modern world and that it is a very prevalent part of our daily lives. Actually if anyone opens the elements of this post (F12 key), within the first chunk of lines is JavaScript, which allows us to function fully within our classes. The understanding of JavaScript and how it works through the use of knowing the difference between a tag and one that is there to fool the user is important if anyone wants to triple check that a certain website is not malicious. This pertains to web analytics because both novice and master coders can manipulate data with only a few keystrokes, which means that the information provided to certain people could be wrong because every time the users would click on products it actually took them to another site. This would hurt the data within a particular site and would falsify reports given to the owners of those sites who were requesting information.

One article found talks about JavaScript obfuscation which is basically making the code confusing to get away with changing information without anyone knowing. (2) This affects anyone who is dealing with important information related to usage of sites, what people look at, and what is more popular for certain kinds of people. Likewise, there could be malicious links hiding within the good code but no one would know unless someone investigated into the backbone of the page and actually found that JavaScript tag that sent the user to a black screen rather than the screen of ice cream.

(1) What is JavaScript? (n.d.). Retrieved February 14, 2018, from US/docs/Learn/JavaScript/First_steps/What_is_JavaScript

(2) AL‐Taharwa, I. A., Lee, H., Jeng, A. B., Wu, K., Ho, C., & Chen, S. (2015). JSOD: JavaScript obfuscation detector. Security and Communication Networks, 8(6), 1092-1107. 10.1002/sec.1064

STUDENT 3: Larry

Hello Everyone,

I chose Bounce Rates because I found it very important in how to track your website’s performance and how to find ways to improve the website. Bounce rate refers to the percentage of visitors that leave your website (or “bounce” back to the search results or referring website) after viewing only one page on your site. (Wilson, 2017) Bounce rate percentages will give you critical feedback and help figure ways to optimize your website.

Bounce rates are very important to web analytics because it helps determine how effective your website is to attract and please users. Extremely low or high bounce rates can mean something is broken in your website and will deter visitors from continuing to stay on your website. These rates can also help Search Engine Optimization of the website to optimize your website. The better optimization of your website and recognized by search engines, then the higher rankings in search results and will help attract users to the website.

Bounce rates can help identify problems within your website such as misleading title tag or meta descriptions, the content on the website may be incorrectly summarized by the title of the website and will cause higher bounce rates. The contents of your website could be of mediocre quality or simply unattractive by the user and will cause visitors to leave the website. Overall, bounce rates are a great analytic tool to help determine what is going wrong with the website, how to find ways to optimize the website, and how to keep visitors focus on the contents of the website.


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Explanation & Answer


Reply on “Bounce Rate” by Clint.
Clint discussion on the “Bounce Rate” is self-explanatory. The discussion well outlines the terms
with a practical explanation. This makes it easier to understand and fully comprehend the concept
in relation to web analytics. Clint points out the form of numerical considerations that are made in
relation to “Bounce rate”, in this case how the rate is calculated in order to give a measurable
value. The discussion point out the effect of having a higher bounce rate in a well outlined way,
where Clint points out that it all depends on the purpose the site is designed for instance for blog
and other one page site then a higher bounce rate is a success as compared to another type of
website implementation...

I was having a hard time with this subject, and this was a great help.


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