When we use some web analytics tools will find the general report is divided into three modules: user access, content browsing and traffic sources. Each category by a variety of analytical measure the composition of the various types of display statements, introduce content browsing module (mainly refers to the site's page views) under a variety of metrics, and based on these metrics, we can achieve what segments .

The basic measure of the page

Metric definition can refer to my article on some common web analytics - web analytics metrics , listed below is some measure of the page:

Page views (Pageviews)

The page is opened or the number of requests.

Only the number of page views (Unique Pageviews)

This is a measure used by Google Analytics above, to avoid duplication of the page to load and refresh Pageviews inflated to open the same page, which repeat the same Visit the page of Unique Pageviews always only been recorded as a times.

Visits (Visits)

Page visits, according to an independent page calculation of each page Visits, in fact, the results are consistent with the above Unique Pageviews so many website analysis tools Unique Pageviews directly measured Visits to the page only views. But should be noted that Visits are also often used for the entire site or some of the content subtotals measure, in this case, the site Visits and the Unique Pageviews is inconsistent, such as the Visit A ​​visit to the aba-c4, page Visit B, access only ab, for a page, The Pageviews yes 3 Unique Pageviews 2 Visits is also 2, but for this site, Unique Pageviews 5 Visits only two.

The only access to the number of users (Unique Visitors)

This should be easy to understand, is to enter a different IP of this page or the number of the cookie.

Time on Page (Time on Page)

Duration of stay in the page a user views a page in the metric of the page, more of a take, on average, according to the user to that page mean residence time (Avg. Time on Page) = sum of the residence time of the page has been viewed / The The page has been viewed (GA which excludes Pageviews leave from the page, that is, Exits).

Directly out of Visits (Bounces)

Maybe you can see a lot about the interpretation of this definition, access called Bounce in website analysis tools, from the page into the site and direct to leave. This metric is Bounce in Rate form from this page directly out of the number of visits / number of visits from the page to enter.

Enter and leave the number of times (Entrances and Exits)

This on its name implies, from the page to enter, leave the number of visits, and the general will be in the form of Enter to Rate and Exit Rate from the page to enter and leave the access / on this page the total number of visits.

There are some other page metrics, such as new access to the user (the New Visits), Goal Value (Goal Value).

Need to focus on page metrics

We will note that the results of the general website analysis tools to show the many different statements, and all kinds of statements will be repeated or not repeated all kinds of metrics, of course, each report may have different display angle and provide different data analysis purposes. But perhaps our daily comprehensive attention to all metrics, usually according to the characteristics of the site focuses on the concern that some measure is closely related with the state of the Web site operators. Will generally show a few statements on the Google Analytics Content Module:

Pageviews, Unique Pageviews, the Avg. Time on. Page, Bounce in Rate,% Exit (leave the percentage) and $ Index (target value index)

Listed below are I personally think the more important for the evaluation of Web page a few metrics, or that individuals prefer and concerns several metrics:

(1) visits (Visits) or unique page views Unique Pageviews

Above these two metrics, the value calculated for a single page is the same, only there are differences in the calculation of aggregate. So why choose the number of visits, rather than the page browsing or only the number of users it? My understanding is that a Visit, if the user repeatedly visit the same page, it is likely that users like to refresh or reload the page, or users are accustomed to rewind and repeat through your site, so these repeated here for evaluation the pros and cons of the page does not make sense; and if it is different Visit even the same users to browse the same page, and more can be understood as the last time I saw the contents of something more to say, want to carefully study what happens This page views for the evaluation of a page is valid, so I prefer to selection page visits Visits

Collapse loss rate (Bounce Rate)

Well, whether you want to call it, had to admit its charm, the site has a lot of related articles, also written in my blog before one - questions about the definition of Bounce in Rate .

I so understood its value, the user will jump out, is nothing more than the three kinds: 1. Strayed; too boring; page 3. Into the site of export. Attention to Bounce in Rate the need for special analysis of the special circumstances, such as Home Bounce is relatively high is understandable, because the site the front of the door may be a considerable part of the user strayed in.; site the bottom of the details page Bounce Rate relatively high potential users direct access to the page, find the information you need and leave the above mentioned three kinds of situation. The exclusion of these two special access, if the other pages Bounce Rate is high, then the page.

3 page mean residence time (Avg. Time on Page)

This should be easier to understand, users need to get your page some of the information will require a certain amount of browsing time, of course, according to the length and complexity of the page content, the average residence time also there are some differences, but we do not need concerned about such cases, we only need to ferret out those who mean residence time short to the users is almost impossible to respond effectively to the page content has left the page, there is no doubt that these pages there is a problem.

Page segments

These metrics based on the described above, we can select any single or multiple page segments, I think the breakdown of the following results:

Based on Pageviews, Unique Pageviews, UniqueVisitors distinguish between popular pages and popular page;

Based on the Avg. Time on Page to distinguish between interesting content and tedious content;

Bounce in Rate-based and next, browse to the diversity of the page to distinguish morbid pages and hub pages;

Enter to Rate and Exit Rate to identify the site of entry and exit pages;

......

Of course, you can think of a variety of other segments, as long as the breakdown of the results of your site is valuable. Here give a simple breakdown of examples of the combination of multiple metrics, the selected measure is above 3 I consider noteworthy page metrics. Since involving three metrics, most of the chart of the plane coordinate system can not be a good show, maybe you, like me think of a class diagram - a bubble chart, the following is a simple display:

Abscissa identifies the number of visits, the vertical axis identifies the Bounce in Rate, the average bubble radius r identifies the page residence time the page is subdivided into four classes, corresponding to the four quadrants, including:

First quadrant: Visits and Bounce in Rate, so the page is popular, but it does not attract all incoming and perhaps the home page of your site, or Landing Page It is in this quadrant, you may need to optimize the key to the next SEO word or the purchase of more relevant ads or keywords, you can optimize your home page and Landing, Page, and to make them more attractive to retain the user;

The second quadrant: If your site has a lot of pages in this quadrant, then your site is in a bad situation, but often the bubbles within this quadrant will be relatively small;

Third quadrant: In fact, some of the pages in this quadrant can enhance the visibility to improve their access, because they are not less attractive from the Bounce in Rate of view; Of course, if some content is only for specific populations, other populations of interest is not high, then in the third quadrant is a normal condition;

Fourth quadrant: these pages focus on some of the gold content of your site, take a look at them in the end what has attracted so many users, so that other pages can also learn about them.

Perhaps you can think of other more interesting page segmentation method, and I welcome your sharing.

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