I need a reply to two students discussion posts. I will add the instructions from the original discussion post for background.
Instructions:
Class, I appreciate your participation in this discussion. For this discussion, create an original post addressing the topic(s) below, prior to midnight ET on Wednesday. Continue to follow your classmates’ posts for the remainder of the week and respond to two or more of your classmates prior to midnight ET on Sunday. Your follow-up posts may add additional insights to a classmate’s opinions or may challenge posted opinions. Use examples from the readings, or from your own research to support your views as appropriate. Be sure to read the follow-up posts to your own posts and reply to any questions or requests for clarification. By the way, include the name of the person’s post you are replying to. Thanks!
Compare and Contrast Web Analytics methodology
Compare and Contrast Web analytic tools (at least two) used to measure metrics
Analyze Google Analytics Products
Student 1:
Hello Class!
Compare and Contrast Web Analytics Methodology
The two types of Web Analytics Methodologies that I am going to discuss are page tagging and web server log file method. Page tagging woks by collecting data tags written in Javascript. A cookie is assigned to store client ID on a user’s device. Every time the tagged page is revisited by the user on their device, the tag is used to identify that user and track their patterns over time. Page tags can be incredibly specific which is beneficial in determining specific user activity. The major drawback of page tagging is that users can, and often delete their cookies or do not allow them in general.
The web server log file allows for a users ISP to send log information to the clients server. While the log contains a lot of information such as IP address, time/date, and URL, your device keeps a cache on the device. When a user returns to a site, often times it uses the cached website as a return address meaning there is no new entry log created. Along with cache usage, DHCP used in home networks will randomly change a users IP address which creates a new and different log.
Compare and Contrast Web analytic tools used to measure metrics
