Google Analytics: Top Entry 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 Google Analytics under our account and in the menu on the left go to the “Content - Most Popular Login Pages” section.
In my case, recorded 850 inputs.
Below is a list of the most popular login pages in descending order.
In consideration will take the link, which is in the list at number two. This link points to the article "Promotion of the blog." Million "ways to get backlinks." To follow the link to this article, you must click on the box with the arrow that is to the left of the link itself. In the figure above, the transition button is highlighted in red square.
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Here you can see that this link to the site went 22 people, 10 of them refused to continue viewing and left the site. 10 departures from 22 visits amounted to 45.45% of failures. But this is not so important now, click on the link /? P = 35 and proceed to more detailed statistics.
This paragraph presents only general information on the page views. This information is of no 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 may give information about what interested the visitor most of all when he visited the site).
In order to go to the information about the entry ways of visitors, it is necessary to select this parameter in the drop-down list, as shown in the figure below.
This statistic provides information on how the visitor behaved on the site after having followed the link (/? P = 35).
That is, the starting point (the entry point to the site for further navigation) is the article "Promotion of the blog. A million ways to get back links . "
Then you can see where the visitors went.
In my case, categories and pages are not particularly clear :)) But still it is easy to calculate.
/? cat = 17 - Category "SEO"
/? cat = 3 - Category "Novices"
/? cat = 13 - Category "Translations"
/? = 31 - Article "5 steps to increase comments on your blog"
/? = 27 - Article "17 tips for those who want to write about them bloggers"
/? = 34 - Article Cuil vs Google
/? = 35 - The article in question, that is, there was a visitor there. Further did not move anywhere on the site.
/ - Site home page. That is www.blogera.net .
Let us go back to our drop-down list, which was discussed above, and select the item “Input Sources” .
From this information, you can find out where visitors came from. In my case, it looks like this:
The figure shows only two columns, in fact, they are shown more. After these two columns, the following statistics are presented: Unique page views, Time per page, Bounce rate,% exit, $ Index.
Above the table, as usual, all averaged statistics.
As before, again in the drop-down list above the table with statistics, select the "Entry Keywords" parameter.
This parameter will show by what keywords the user got on the page we are considering. In this case, only 3 keywords:
This example was not chosen by chance (I will explain why below), I think at your place you can choose to consider a more successful example. Although I advise you to browse through all of your most popular pages in order to accurately determine how, where, what keywords come from and what they are looking for further, determine the site navigation, 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 randomly. Here we looked at the traffic received through the article, which clearly demonstrates the ineffectiveness of choosing keywords for it. The only key phrase that can be attributed to the article in question is “blog promotion”, but it has a 100% failure rate. That is, visitors who used this fraudulent search engine and moved to the article "Promotion of the blog. A million ways to get backlinks," did not get what they were looking for.
Conclusion: Search engine page optimization is simply missing.
Although this page is the most popular entry point, it does not give the desired results. All visitors from search engines almost immediately leave the blog. The page attracts far from targeted traffic.
Analyze all of 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 multiple versions of pages and determine which one will attract more targeted visitors. But this is a topic for another article ...
Sincerely, www.blogera.net
- Content Details
- Entry ways
- Sources of Input
- Login keywords
So, we enter Google Analytics under our account and in the menu on the left go to the “Content - Most Popular Login Pages” section.
In my case, recorded 850 inputs.
Below is a list of the most popular login pages in descending order.
.In consideration will take the link, which is in the list at number two. This link points to the article "Promotion of the blog." Million "ways to get backlinks." To follow the link to this article, you must click on the box with the arrow that is to the left of the link itself. In the figure above, the transition button is highlighted in red square.
')
Here you can see that this link to the site went 22 people, 10 of them refused to continue viewing and left the site. 10 departures from 22 visits amounted to 45.45% of failures. But this is not so important now, click on the link /? P = 35 and proceed to more detailed statistics.
Content Details
This paragraph presents only general information on the page views. This information is of no 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 may give information about what interested the visitor most of all when he visited the site).
Entry ways
In order to go to the information about the entry ways of visitors, it is necessary to select this parameter in the drop-down list, as shown in the figure below.
This statistic provides information on how the visitor behaved on the site after having followed the link (/? P = 35).
That is, the starting point (the entry point to the site for further navigation) is the article "Promotion of the blog. A million ways to get back links . "
Then you can see where the visitors went.
In my case, categories and pages are not particularly clear :)) But still it is easy to calculate.
Visitors to the site on the link in question are interested in the following categories:
/? cat = 17 - Category "SEO"
/? cat = 3 - Category "Novices"
/? cat = 13 - Category "Translations"
Well, I can already decipher the articles:
/? = 31 - Article "5 steps to increase comments on your blog"
/? = 27 - Article "17 tips for those who want to write about them bloggers"
/? = 34 - Article Cuil vs Google
/? = 35 - The article in question, that is, there was a visitor there. Further did not move anywhere on the site.
/ - Site home page. That is www.blogera.net .
Sources of Input
Let us go back to our drop-down list, which was discussed above, and select the item “Input Sources” .
From this information, you can find out where visitors came from. In my case, it looks like this:
The figure shows only two columns, in fact, they are shown more. After these two columns, the following statistics are presented: Unique page views, Time per page, Bounce rate,% exit, $ Index.
Above the table, as usual, all averaged statistics.
Login keywords
As before, again in the drop-down list above the table with statistics, select the "Entry Keywords" parameter.
This parameter will show by what keywords the user got on the page we are considering. In this case, only 3 keywords:
This example was not chosen by chance (I will explain why below), I think at your place you can choose to consider a more successful example. Although I advise you to browse through all of your most popular pages in order to accurately determine how, where, what keywords come from and what they are looking for further, determine the site navigation, 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 randomly. Here we looked at the traffic received through the article, which clearly demonstrates the ineffectiveness of choosing keywords for it. The only key phrase that can be attributed to the article in question is “blog promotion”, but it has a 100% failure rate. That is, visitors who used this fraudulent search engine and moved to the article "Promotion of the blog. A million ways to get backlinks," did not get what they were looking for.
Conclusion: Search engine page optimization is simply missing.
Although this page is the most popular entry point, it does not give the desired results. All visitors from search engines almost immediately leave the blog. The page attracts far from targeted traffic.
Analyze all of 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 multiple versions of pages and determine which one will attract more targeted visitors. But this is a topic for another article ...
Sincerely, www.blogera.net
Source: https://habr.com/ru/post/37670/
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