The noun analysis used in web page statistics

Browse Times (PV)
That is commonly said PV (PageView) value, the user each open 1 Web site page, record 1 PV. The user opens the same page multiple times with PV cumulative.

Independent visitors (UV)
Within 1 days (00:00-24:00), the number of non-duplicate users visiting the site (based on browser cookies), the same visitor visits the site multiple times a day only 1 times.

Ip
Within 1 days (00:00-24:00), the number of non-duplicate IP sites visited. Multiple visits to the same IP address within one day are counted 1 times.

New Independent visitors
Visitors to the site for the first time in history are the new independent visitors.

Number of visits (Session)
A series of activities from the visitor to the website to the left of the site are recorded as one visit, also known as session, and 1 accesses (sessions) may contain multiple PV.

Per capita page views
The average PV generated by each independent visitor. pageviews per capita = number of views/independent visitors. Reflect how attractive the site is to visitors.

Average access depth
Average per access (session) generated by PV. Average access depth = number of views/visits. Reflect how attractive the site is to visitors.

Length of Visit
The difference between the opening time and the access start time of the last 1 pages in an access (session). Reflect how attractive the site is to visitors.

Average length of time to visit
The average duration of each access (session) stay on the site. Average length of Visit = length of visit/number of accesses. Reflect how attractive the site is to visitors.

Bounce Times
Jumps out of the access (session) behavior of a Web site that has browsed only 1 pages. The more jumps you get, the less interest your visitors will have on your site or the lower the quality of your inbound entry.

Bounce Rate
The ratio of access (sessions) to the total number of visits to the site that were viewed only on 1 pages. Bounce rate = Number of jumps/visits.

Number of visits
The number of access (sessions) that the source has entered the site.

Browse Times%
SOURCE Analysis: The total PV generated by visitors to the site by the source is the ratio of the overall total PV. Analysis of the survey: the Domain name or page generated by the PV accounted for the total PV ratio.

Number of search terms
The total number of search terms used when entering the site by the search engine.

Output PV
From this page click on the PV of other pages in the arrival.

Average length of stay on page
The time difference between a visitor opening the page and leaving the page.

Number of entry
The number of times the page is used as the first page in the Access (session).

Number of entry pages per page
Entry Page count = number of entries/Total station visits. This page has the chance to become an entry page compared to all inbound portals, and the higher entry page may have more off-site links or higher weights.

Number of Departures
The number of times the page is used as the last page in the Access (session).

Departure rate
Departure rate = The number of pages left/the number of pages viewed. A page with a process end page or content that is less valuable may have a higher departure rate.

Number of export pages accounted for
Export Page count = number of departures/total station visits. This page, compared to all inbound exits, is the chance to become an export page, with a high export page worth being optimized.

Attention level
The percentage of clicks in the region that are the total number of hits in the statistics page (range).

Guest installation ratio
The number of independent visitors to the plug-in is the ratio of total independent visitors to the entire station.

Daily average
Day average of traffic data for the last 90 days, such as Average daily views (PV) = Cumulative Last 90 days views/90.

Highest history
Refers to the Web site statistics, there is statistical traffic up to date the highest daily traffic data.

Total history
Refers to the Web site statistics, there is a statistical flow since the sum of traffic data.

Enter a URL or bookmark directly
In the browser address bar to enter the URL access, save the URL to the browser favorites after the visit or due to page jumps generated by the source page is missing is referred to as direct input URL or bookmark.

Other external links
All the antecedents of the domain name, page, in addition to search engine site other antecedents.

Social media
A new type of media site for users to participate in space, common social media include: blogs, Weibo, forums, social networks and so on.

Inside entrance of station
The first page visited when a visitor enters the site.

Inside exit of station
Visitors visit the last page of the website.

Hot map
Record the mouse click behavior of the visitor on the page, and distinguish the click Heat in different regions by color. Support to set up a set of pages to "focus on", and can be broken down by the origin of the features such as Click. Can help you understand whether the design of the page is reasonable, and the placement of the ad can get more commission.

Browser kernel
Also known as the layout engine, the page rendering engine, or the prototype engine, it is responsible for obtaining the content of the Web page, and the display mode, and then output to the display or printer. Different browser cores will have different parsing methods for the page. The corresponding relationship between the kernel and the browser can be found in Wikipedia.

New and old visitors
Visitors of the day who visited your site for the first time in history are the new visitors of the day, and the visitors who have visited the site historically are old visitors, and there are often differences between new visitors and old visitors ' access to the site and browsing behavior. This feature helps you to understand the behavior of different visitors and optimizes the site for different visitors. For example, for the production of novice navigation to provide data support.

Daily Visit frequency
The number of times the same visitor visited the site within one day. The greater the number of visits, the higher the loyalty.

Last Visit time
The time difference between visits to a website by a visitor at each visit. The smaller the time difference the higher the loyalty.

Reference: http://help.cnzz.com/support/mingcijieshi/

The noun analysis used in web page statistics