We use the analysis tool when some websites will find general statements will be divided into three modules: user access, content browsing and traffic sources. Measured by analysis of each category composed of various types of display statements, where the first browser module introduce content (mainly refers to the Web site page views) under a variety of measures, and based on these measures which we can achieve sub- .
The basic measure of the page
On some common web analytics metrics definitions can refer to my previous article - the basic measure of site analysis , the following is a list of some measure of page:
Page views (Pageviews)
Page is opened or the number of requests.
The only page views (Unique Pageviews)
Google Analytics This is a measure used above, mainly to avoid the repeated loading and refresh the page lead to unrealistically high Pageviews situation, so repeat them in the same Visit to open the same page, the page Unique Pageviews always only be recorded as a time.
Visits (Visits)
The page has been visits, if calculated according to a separate page for each page Visits, in fact, above the Unique Pageviews results are consistent, so many sites to which there is no analysis tools Unique Pageviews, Visits to directly measure the page with the only views. However, note that the entire site Visits are often used as a summary or some measure of content classification, in this case, the total site Visits and Total Unique Pageviews is inconsistent, such as the Visit A visit to the aba-c4 pages , and only visit to Visit B ab, then for a popular page, Pageviews are 3, Unique Pageviews is 2, Visits but also 2, but for the purposes of this site, Unique Pageviews is 5, and Visits only two.
The only access to users (Unique Visitors)
This should be easy to understand, is to enter the page number of different IP or Cookie.
Time on Page (Time on Page)
When a user views a page in the page stay time, in the measurement page, and more is averaged according to the user that the page mean residence time (Avg. Time on Page) = the page viewed by the sum of residence time / the page has been viewed (GA which excludes the page from left Pageviews, the Exits).
Out of the number of direct access (Bounces)
Maybe you can see a lot on this interpretation of the definition, the general site analysis tools, will enter the site from the page and direct access to leave as Bounce. And this is the Bounce Rate metric more form, directly from the page number out of access to / from the page to enter the access number.
Enter and leave the number of times (Entrances and Exits)
This would by definition, from the page to enter and leave the access number, and generally to Enter Rate and Exit Rate of the form, from the page to enter and leave the access number / total number of visits the page.
There are some other pages measure, such as new access to the user (New Visits), the target value (Goal Value) and so on.
Measures need to focus on the page
We will note a general site analysis tools will show the results of a number of different reports, and all kinds of statements they will repeat or not repeat the kinds of measures, of course, each will have its report may show a different perspective and provide different data analysis purposes. But perhaps we can not fully focus on all the daily measurements, usually based on characteristics of the site the attention focused on the status of certain operation is closely related with the measurement site. Google Analytics module contents will show a few general statements:
Pageviews, Unique Pageviews, Avg. Time on Page, Bounce Rate,% Exit (left percent) and $ Index (the target value of the index)
Listed below is my personal web page that is more important for the evaluation of several measures, or a personal favorite and the attention of several measures:
1 visits (Visits) or single page views (Unique Pageviews)
The above measures have been introduced to these two, they are calculated for a single page in terms of value is the same, only the time in the calculation of aggregate differences. So why choose to access volume, rather than page views or unique users it? My understanding is that in the same Visit, if the user repeatedly visit the same page, it is likely that users like to refresh or reload the page or the user used to rewind and repeat the shuttle on your site, so these repeat visit for the evaluation comparing the page does not make sense; and if it is different Visit, even if the same user browsing the same page, then we can understand more of the user for the last time to see the content enough, want to examine what happens, This page is a page view for the evaluation of effective, so I tend to choose the page visits Visits.
2 collapse loss rate (Bounce Rate)
Well, no matter how you call it, had to admit its charm, there are many sites related to the article, I also wrote a blog before - questions about the definition of Bounce Rate .
For its value is what I understand, the user will jump out, no more than three cases: 1. Strayed; 2 is too boring; 3 page is the site to enter the export. So concerned about the Bounce Rate in the special case when there is a need for special analysis, such as the Home of Bounce is relatively high is understandable, because the front of the door as the site, there may be a considerable number of users straying into the room; the site the bottom of the details page of the Bounce Rate may be higher users go directly to that page, find the information you need and leave, which is mentioned above, case 3. The exclusion of these two special access, if the other pages Bounce Rate high, then the description of the page there is a problem.
3 pages mean residence time (Avg. Time on Page)
This should be relatively easy to understand, users need access to certain information in your page will take some time to browse, of course, provide according to the page content and complexity of the length of the average residence time there will be some differences, but we do not need concerned about such cases, we only need to ferret out those who mean residence time is short to the content of the page the user is almost impossible to respond effectively to those who had left the page, there is no doubt that these pages there is a problem.
Page segmentation
Based on these metrics described above, we can choose any single or multiple pages to be broken down for, I think the results of segmentation methods have the following:
Based on Pageviews, Unique Pageviews, UniqueVisitors distinguish between popular and unpopular pages pages;
Based on Avg. Time on Page distinction between the content interesting and boring content;
Bounce Rate and the next view based on the diversity of the page to distinguish morbid pages and hub pages;
Enter Rate and Exit Rate based on identified sites of entry and exit pages;
... ...
Of course, you can think of many other segments of the method, as long as the breakdown of the results in terms of your site is valuable. To give a simple measure of portfolio segments with multiple examples, the selected measure is above the three I consider noteworthy page measure. Since the measure involves three, most of the plane coordinate system of the chart can not be a good show, maybe like me you thought of a class diagram - bubble chart, below is a simple display:
Abscissa identifies the traffic, the vertical axis identifies the Bounce Rate, the bubble radius r identifies the page the average residence time, the page can be broken down into four categories, corresponding to four quadrants, including:
The first quadrant: high traffic and Bounce Rate, so the page does not attract the more popular but all incoming users, perhaps your site's home page, or Landing Page is in this quadrant, you may need to optimize the key under SEO words or more relevant advertisements to buy or keywords, you can optimize your home page and under the Landing Page, make them more appealing to retain customers;
The second quadrant: If your site has many pages are in this quadrant, then your site is in a bad situation, but often this quadrant of the bubbles will be relatively small;
The third quadrant: In fact, some of the pages in this quadrant can be improved by increasing their exposure to traffic, because they are not from the Bounce Rate of view less attractive; course, if some content is only for specific populations, and other groups for their interest is not high, then in the third quadrant is a normal condition;
The fourth quadrant: These pages focus on some of your gold content of the website to see what attracted them in the end in so many users, so that other pages to learn about them.
Perhaps you can think of other more interesting page segmentation method, please share with me the exchange.
>> In this paper, BY-NC-SA agreement, please indicate the source: Website Data Analysis >> "web pages and sub-measure."
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Bubble handsome, what software is painting it?
In addition, the four quadrants of the subdivision is not only based on bounce and visit, do not take into account the residence time?
@ Phi Miffy : Bubble chart should have a lot of software, I am here just maps, not the chart, I use the word readily dragged.
Four quadrants in accordance with the Visits and Bounce Rate points, Avg. Time on Page only reflected in the bubble size.
Brother, your articles are so deep every time, easy to understand some can not?
Basically do not analyze this, outside the chain of high ranking will go up
@ Phi Miffy :
Excel can
You reminded me, the ultimate goal is to analyze the data so that data speak! Think more of the indicators of practical significance. Thanks to share ~
About Bouce classification and analysis of bubble too praise, thank you sharing.
@ Phi Miffy : excel Insert -> Chart -> bubble chart. Can refer to.
Hello! Will the bubble chart is drawn only after the standardization of data out of it?
@ Nancy : The bubble chart is virtual, not real data chart. Bubble can not do this type of standardized indicators, but often more discrete distribution of bubbles, not good, so if the data is more discrete, then it is recommended to be standardized.