Google Analytics: Most Popular Login Pages
In this article, I want to tell you how to determine the most popular login pages using Google Analytics statistics . How to track and use the following parameters for the most popular login pages:
So, we enter into Google Analytics under your account and in the menu on the left we go to the section “Content - Most Popular Login Pages”.
In my case, 850 inputs are fixed.
Below is a list of the most popular login pages in descending order.
In consideration I will take the link which is in the list at number two. This link points to an article , "Promotion of the blog." Million "ways to get backlinks" . To follow the link to this article, you must click on the box with an arrow, which is located to the left of the link itself. In the figure above, the transition button is highlighted in a red square.
Here you can see that 22 people came to this site using this link, of which 10 people refused to continue viewing and left the site. 10 out of 22 visits accounted for 45.45% of failures. But this is not so important right now, we click on the link /? P = 35 and proceed to more detailed statistics.
This paragraph provides only general information on page views. This information is not of particular importance in our case. It is much more interesting to find out where visitors came from, how they found this page, or, in extreme cases, from which point on the site they started browsing (this information can give information about what was most interesting to the visitor when he visited the site).
In order to go to the information about the entry paths of visitors, you must select this option in the drop-down list, as shown in the figure below.
These statistics provide information on how the visitor behaved on the site after clicking on the link in question (/? P = 35).
That is, the starting point (point of entry to the site for further navigation) is the article "Promotion of the blog." Million "ways to get backlinks" .
Then you can see where the visitors were going.
In my case, the categories and pages are not very clear :)) But still easy to calculate.
/? cat = 17 - Category “SEO”
/? cat = 3 - Category “Beginners”
/? cat = 13 - Category “Translations”
/? = 31 - Article “5 steps to increase comments on your blog”
/? = 27 - Article “17 tips for those who want bloggers to write about them”
/? = 34 - Article “Cuil vs Google”
/? = 35 - The article in question, that is, the visitor remained there. Further did not move anywhere on the site.
/ - The main page of the site. That is www.blogera.net .
Let's go back to our drop-down list, which was considered above, and select the "Sources of entry" .
From this information, you can find out where the visitors came from. In my case, it looks like this:
The figure shows only two columns, in fact, more are shown. After these two columns, the following statistics are presented: Unique pageviews, Time on page, Bounce rate,% of exit, $ Index.
Above the table, as usual, all the average statistics.
As before, again in the drop-down list above the table with statistics, we select the parameter “Input keywords” .
This parameter will show what keywords the user got on the page we are considering. In this case, there are only 3 keywords:
This example was not chosen by chance (I will explain why below), I think you can choose a more successful example for your consideration. Although I advise you to look through all of your most popular pages in order to accurately determine how, where, by which keywords visitors come and what they are looking for next, to determine site clicks, and if possible, try to optimize your pages to get more targeted traffic.
Let us return to the fact that the example was not chosen by chance. Here we examined the traffic received using the article, which clearly demonstrates the inefficiency of choosing keywords for it. The only key phrase that can be attributed to the article in question is “promotion of the blog,” but it shows a 100% failure rate. That is, visitors who used this fruze in a search engine and went to the article "Promotion of the blog." Million "ways to get backlinks" did not get what they were looking for.
Conclusion: Page optimization for search engines is simply missing.
Although this page is the most popular entry point, it does not produce the desired results. All visitors from search engines leave the blog almost immediately. The page attracts far from targeted traffic.
Analyze all your most popular login pages using Google Analytics and determine which of them, even if they bring a huge number of visitors to your site, cannot make them your subscribers. See, try, analyze ...
You can also use Website Optimizer to create several versions of pages and determine which one can attract more targeted visitors. But this is the topic of another article ...
Sincerely, www.blogera.net
- Content Details
- Entry paths
- Input sources
- Login Keywords
So, we enter into Google Analytics under your account and in the menu on the left we go to the section “Content - Most Popular Login Pages”.
In my case, 850 inputs are fixed.
Below is a list of the most popular login pages in descending order.
Сортировать данные можно нажав на название столбца.In consideration I will take the link which is in the list at number two. This link points to an article , "Promotion of the blog." Million "ways to get backlinks" . To follow the link to this article, you must click on the box with an arrow, which is located to the left of the link itself. In the figure above, the transition button is highlighted in a red square.
Here you can see that 22 people came to this site using this link, of which 10 people refused to continue viewing and left the site. 10 out of 22 visits accounted for 45.45% of failures. But this is not so important right now, we click on the link /? P = 35 and proceed to more detailed statistics.
Content Details
This paragraph provides only general information on page views. This information is not of particular importance in our case. It is much more interesting to find out where visitors came from, how they found this page, or, in extreme cases, from which point on the site they started browsing (this information can give information about what was most interesting to the visitor when he visited the site).
Entry paths
In order to go to the information about the entry paths of visitors, you must select this option in the drop-down list, as shown in the figure below.
These statistics provide information on how the visitor behaved on the site after clicking on the link in question (/? P = 35).
That is, the starting point (point of entry to the site for further navigation) is the article "Promotion of the blog." Million "ways to get backlinks" .
Then you can see where the visitors were going.
In my case, the categories and pages are not very clear :)) But still easy to calculate.
The visitors who entered the site via the link in question were interested in the following categories:
/? cat = 17 - Category “SEO”
/? cat = 3 - Category “Beginners”
/? cat = 13 - Category “Translations”
Well, I’ll decipher the articles then:
/? = 31 - Article “5 steps to increase comments on your blog”
/? = 27 - Article “17 tips for those who want bloggers to write about them”
/? = 34 - Article “Cuil vs Google”
/? = 35 - The article in question, that is, the visitor remained there. Further did not move anywhere on the site.
/ - The main page of the site. That is www.blogera.net .
Input sources
Let's go back to our drop-down list, which was considered above, and select the "Sources of entry" .
From this information, you can find out where the visitors came from. In my case, it looks like this:
The figure shows only two columns, in fact, more are shown. After these two columns, the following statistics are presented: Unique pageviews, Time on page, Bounce rate,% of exit, $ Index.
Above the table, as usual, all the average statistics.
Login Keywords
As before, again in the drop-down list above the table with statistics, we select the parameter “Input keywords” .
This parameter will show what keywords the user got on the page we are considering. In this case, there are only 3 keywords:
This example was not chosen by chance (I will explain why below), I think you can choose a more successful example for your consideration. Although I advise you to look through all of your most popular pages in order to accurately determine how, where, by which keywords visitors come and what they are looking for next, to determine site clicks, and if possible, try to optimize your pages to get more targeted traffic.
Let us return to the fact that the example was not chosen by chance. Here we examined the traffic received using the article, which clearly demonstrates the inefficiency of choosing keywords for it. The only key phrase that can be attributed to the article in question is “promotion of the blog,” but it shows a 100% failure rate. That is, visitors who used this fruze in a search engine and went to the article "Promotion of the blog." Million "ways to get backlinks" did not get what they were looking for.
Conclusion: Page optimization for search engines is simply missing.
Although this page is the most popular entry point, it does not produce the desired results. All visitors from search engines leave the blog almost immediately. The page attracts far from targeted traffic.
Analyze all your most popular login pages using Google Analytics and determine which of them, even if they bring a huge number of visitors to your site, cannot make them your subscribers. See, try, analyze ...
You can also use Website Optimizer to create several versions of pages and determine which one can attract more targeted visitors. But this is the topic of another article ...
Sincerely, www.blogera.net