In the third column you will find

sharminakter274

At this point a very explanatory table will appear, indicating various values: In the first column you will find the specific search term. In the second column you will find the total number of unique searches. This is the value it indicatesthe number of times users searched the site.  page views/searches. It is the average number of times visitors opened the page displayed after an internal search on the site. In the fourth column you will find the percentage of exits from the search, i.e. how many users decided to abandon the site after a search (apparently, not satisfactory!). In the fifth column you will find the search refinement percentage. It is the average value of the times a search was then modified (i.e., refined). In the sixth column you find the time after the search, i.e. how long the visitors stayed after carrying out an internal search on the site. In the last column you will find the average search depth.


This number indicates how many pages were viewed after carrying out an internal search on the site. What do you need this data for? As we have already said, thanks to these you can find out which search terms a user uses most often on your site. As a result, you can understand if the contents are suitable (how many click on the search result?) or if it is necessary to divert towards new keywords. Furthermore, you can easily understand which keywords are the most Agent Email List popular and focus your texts on those. Obviously, the rates to which you must refer in particular are those relating to the percentage of exit from the search and the page/search views (with the relative duration). How to interpret them? A high exit percentage should raise alarm bells because you may have gaps within the site or page you are referring to (topics relating to the activity you carry out and not treated in the slightest or treated superficially.





On the other hand, a high number of views could indicate that you are doing well, i.e. that a visitor searches for a certain term and finds the answer they need. A high length of stay is a second proof of this. - The effectiveness of pages In an article that focuses on the functionality of Google Analytics, a reference to the section dedicated to pages could not be missing. As you well know, it is essential to know the performance of a specific page on the site to understand whether it is working well (i.e. whether it generates conversions) or whether it is appropriate to update it with new content. This is why Google Analytics also focuses on traffic to a page. How to get to this section? Behavior > Site Contents > All Pages. What appears to you at this point? First of all you will have a graph depicting the trend of page views (i.e. the total number of pages viewed.