Site Analytics

 ETO ANALYTICS REPORT


The following document will be a daily-updated document. It will start off with a series of graphs generated from site usage on Google Analytics (for study-specific users and general website usage) followed by data obtained from our Vimeo account and lastly a QuestionPro Report. 

Includes the following graphs: 

 

User Report – within past 30 days

Table 1: Relevant User Information

 

Figure 1: Number of Sessions Vs. User

 

Table 2: Top 15 Most Popular Pages (Last 30 Days)

 

 Figure 2: The number of ETO videos that have been played vs finished within past 30 days 

Our Vimeo account records the number of “plays” of each video. A play is defined as a user opening the respective video. However, the number of individuals who begin watching the video is not always equal to the number of individuals who watch the entire video. As such, a second variable “finishes” is recorded to represent this. A “finish” is defined as a user who opens the respective video and watches it to completion. This time trend is visualized in Figure 2 above over the past 30 days.

However, there is a margin of error in the above determination of a “finished” user in the event that a user ends the video a few seconds before actual completion. By the technical definition, in this scenario, the user is not classified as “finished” and as such Figure 3 below takes this account by displaying the average percent of the video which was completed by the users.

Figure 2 shows the number of videos which were engaged (played) and completed, while Figure 3 gives more detailed information on the total number of plays of each video and the average percent of it that was completed. 

 

 Figure 3: Number of plays and percent watched of each ETO Meeting video that has been viewed within past 30 days 

 


 

All Users VS Tracked Users

“All users” are defined as the general visitors to the website who do not have access to the ETO content, the ETO volunteers and the patients & professionals who have access to the ETO content. “Users” are defined as the patients & professionals who have access to the ETO content.

Figure 4: Number of Sessions in Last Month

Table 3: Top 15 Most Popular Pages (All Users)


 


 

User Report – Since October 1st 2017 (launch)

Table 4: Relevant User Information since project launch

 
 Figure 5: Number of Sessions Vs. User since launch

 Figure 6: The number of ETO videos that have been played and finished since launch

 

Our Vimeo account records the number of “plays” of each video. A play is defined as a user opening the respective video. However, the number of individuals who begin watching the video is not always equal to the number of individuals who watch the entire video. As such, a second variable “finishes” is recorded to represent this. A “finish” is defined as a user who opens the respective video and watches it to completion. This time trend is visualized in Figure 6 above from the program’s launch.

However, there is a margin of error in the above determination of a “finished” user in the event that a user ends the video a few seconds before actual completion. By the technical definition, in this scenario, the user is not classified as “finished” and as such Figure 7 below takes this account by displaying the average percent of the video which was completed by the users.

Figure 6 shows the number of videos which were engaged (played) and finished, while Figure 7 gives more detailed information on the total number of plays of each video and the average percent of it that was completed. 

 

 Figure 7: Number of plays and percent watched of each ETO Meeting video that has been viewed since launch


Geocharts of Hits

We classify a hit to a webpage as any instance of interaction between the visitor and the website. For example, each referesh counts as a hit, if a user returns to a page previously visited, it would be counted as separate hits.

 


 

QuestionPro Report Summary






 

Glossary and Additional Information

  • Acquisition: Acquisition represents the subset of metrics that are used to measure how new users are “acquired” for the website.
  • Bounce Rate: A bounce occurs when a user’s session only consists of one-page view. The bounce rate, thus gives the percentage of users whom leave the website immediately after visiting the home page.
  • Behaviour: These metrics represent what users do once they are on the site, such as which pages they visit, length of sessions and whether they come back.
  • Conversion: These metrics represent whether users are completing the website’s goals, such as filling out forms or making purchases.
  • Play VS Finish: A video can be started, but not completely watched. If the user watches the entire length of the video, they will be recorded as “finished”. However, if the user only watches a percentage of the video, they are recorded as “played”.
  • Traffic Sources: These sources describe where site traffic originates from, including search engines, direct links or other websites.
  • User: A user is any unique individual browsing the website, which are differentiated through their browser cookies.
  • How Google Collects Demographics Information: Google is able to estimate demographic information (Age, Gender) through the use of “3rd party Double Click cookies” stored on each visitor’s web-browser. By parsing through previous browsing history, Google is able to determine with a high degree of accuracy the demographic information of each user.
  • New User VS Returning User: A new user is defined as a user who has never visited the website before. This is done by saving and marking their unique Cookie ID. When they visit again, they will be classified as a “Returning User”. Because of this, the “Total Users” category is inaccurate as it can double count users.
  • How can we clarify whether users are bots: Typically, when a bot visits a website numerous times, this can greatly skew the statistics regarding # of sessions and other data. However, bots will typically immediately leave a page with very little time spent on the page (sometimes 0 seconds), which will allow us to filter out bots in case this becomes a problem for future use. If needed, further log-in systems can be established to ensure proper traffic is measured on the website.