Post by account_disabled on Dec 9, 2023 9:23:07 GMT
To have an understanding of the quantity and quality of traffic , however, we can take into consideration the following metrics, present within the Google analysis panel, in the time range of our interest (for example, in the last 3 months): Sessions . A session corresponds to the period of time in which a user "interacts" with the site (for example, visits a page). The standard unit of measurement for a session is 30 minutes: if in this period of time, the user leaves and returns to the site, he does not activate a new session as he returns to the previous one.
In a session, therefore, there may be multiple page views , which in fact is a different parameter detected by Google; Unique Users : The number of people who have interacted with our site. It is clear that, especially for blogs with numerous Country Email List returning (i.e. recurring) users, the number of sessions and page views will far exceed that of users, who may have logged in more than once; Pages per session : how many pages were viewed by the user in relation to sessions; Average session duration , i.e. the average time a visitor dedicates to browsing the site; Bounce frequency (or bouncing rate.
This data, often unclear, is one of the most important because it identifies sessions of a single page. The idea of bounce is not random: the user entered the site but then, for some reason, preferred to exit without carrying out other actions and page views. Another seemingly counterintuitive notion: the lower the bounce rate, the more users interacted on the site. Well, now that we have established the fundamentals, let's do some practical examples to try to cross-reference and critically interpret this data. Let's say the case of a blog that has a very high number of sessions and page views and a very low number of users: how will we read this data? Users are evidently admirers of the content and return often (a fact which can also be verified with the pie chart normally reported by Google), but the blog struggles to find new users . This isn't necessarily a bad thing: if we have a niche topic, which interests a small segment of people, we are still doing a good job.
In a session, therefore, there may be multiple page views , which in fact is a different parameter detected by Google; Unique Users : The number of people who have interacted with our site. It is clear that, especially for blogs with numerous Country Email List returning (i.e. recurring) users, the number of sessions and page views will far exceed that of users, who may have logged in more than once; Pages per session : how many pages were viewed by the user in relation to sessions; Average session duration , i.e. the average time a visitor dedicates to browsing the site; Bounce frequency (or bouncing rate.
This data, often unclear, is one of the most important because it identifies sessions of a single page. The idea of bounce is not random: the user entered the site but then, for some reason, preferred to exit without carrying out other actions and page views. Another seemingly counterintuitive notion: the lower the bounce rate, the more users interacted on the site. Well, now that we have established the fundamentals, let's do some practical examples to try to cross-reference and critically interpret this data. Let's say the case of a blog that has a very high number of sessions and page views and a very low number of users: how will we read this data? Users are evidently admirers of the content and return often (a fact which can also be verified with the pie chart normally reported by Google), but the blog struggles to find new users . This isn't necessarily a bad thing: if we have a niche topic, which interests a small segment of people, we are still doing a good job.