Dimension website traffic statistical analysis system is a set of free online traffic monitoring service. Dimension statistics is committed to establishing statistical standards based on multi-directional statistics (time, region and visitors) and all-round analysis of website traffic, and forming a data analysis model of original data → data visualization → data behaviorism → data deep mining. We have broken the stereotype that traditional statisticians only count and collect data. On the premise of accurate definition of statistical data, all the real-time data and demographic data of the website are counted and presented to users in a more intuitive way, and these data are integrated to analyze users' behavior trends. Dimension statistics on the basis of integrating data, further mining data, and establishing a user model (Persona) that conforms to your website visitors. This user model includes gender, age, income, region, emotion, all the websites visited, and the contents and keywords contained in these websites. Through this system standard, dimension statistics can provide more perfect and valuable data for commercial users, enterprise users and all individual webmasters of China Internet, and help them make website decisions more effectively.
In the dimensional statistical system, data are divided into three types: basic statistical data, demographic data and user model data.
Accurate basic statistics demographic data definition User model (persona) defines accurate basic statistics.
UV (Unique Visitor): Independent visitors, regard each independent computer (based on cookie) as a visitor, and the number of visitors who visit your website in one day (00:00-24:00). Access to the same cookie is only counted 1 times in a day.
PV (page views): the number of visits, that is, the number of page views or clicks. Every time a user visits a website, it is recorded as 1 time. Users visit the same page many times, and the number of visits is cumulative.
IP: refers to the number of independent IPS. The same IP address from 00: 00 to 24: 00 is only calculated once.
Per capita PV: refers to the number of PV that each visitor visits the website within the selected time range. This value is not simply obtained by using per capita PV=PV/UV. Considering the existence of abnormal means to obtain traffic, we use a more accurate algorithm to obtain this value.
IP quality: Evaluate the quality and value of a source, a keyword and a visitor according to the per capita PV value. Through a large number of statistics of internet data, the accurate basis for judging IP quality is determined. The higher the per capita PV, the better the IP quality, which means the better the visitor loyalty of this source.
Number of people online: the number of UVs accessed online in 5 minutes.
Depth of visit: the number of pages visited by visitors in a complete website visit.
Stay time: the average of all visitors' visit process and visit duration.
Recent visitors: independent visitors who visit your website for a period of time (within 5 minutes).
Current visitor activity: refers to the current number of visitors to your website.
Current visitor activity: refers to the number of current visitors to your website, which reflects the popularity of your website at the current time to some extent.
Number of return visits: a cookie's return visit counts as a return visit, and its number is the number of return visits.
Return visit rate: the proportion of return visitors to all visitors, which is mainly used to reveal the loyalty of website visitors to the website.
New visit: The first visit to a cookie is counted as a new visitor.
Number of return visits: refers to the number of times cookie visit your website after the first visit.
Stay time: refers to the length of time that visitors visit your website.
Home address: refers to the first page visited by visitors when they visit your website.
Last page address: refers to the last page visited by visitors when they visited your website this time.
Access path: Every visitor starts to visit your website from the moment he enters it, and finally leaves your website. The pages visited during the whole process are called access paths.
Visit frequency: refers to the daily visit frequency of visitors on your website, which is used to reveal the attraction of your website content to visitors.
Access portal: the first page that users enter every time they visit, which can display some link portals of websites or search engines.
Access exit: the last page clicked by the user before leaving after each visit. This page can display some links to websites or search engines.
Click Times: refers to the number of times users click on the links on the page.
Arriving at PV: refers to the number of visitors who arrive at your website through a certain keyword.
UV%: refers to the proportion of a certain type of UV to the total UV in the selected time range. (UV% = UV/total UV)
PV%: refers to the proportion of a certain category of PV to the total PV within the selected time range. (PV% = PV/ total PV)
History: This time refers to the total data of your website since the opening of the dimension statistics system.
Definition of demographic data
Sex ratio: How many men and women visit your website, a page or a keyword in your website?
Age distribution: The age distribution of your website visitors gives you a clearer understanding of what kind of people are visiting your website.
Income analysis: The visitor income of your website can let you know clearly the spending power of your visitors, which is of great guiding role for consumer websites such as e-commerce websites.
User model (role) definition
Personas: (Personas is the abbreviation of user model) is a fictional user, used to represent a user group. Roles can be more representative than any real individual. The data representing the persona of a typical user includes gender, age, income, region, mood, all URLs visited, and the contents and keywords contained in these URLs.
Interview briefing:
Function description: Visit the briefing: show the PV, UV, IP, per capita PV, online number, return rate and increase rate of today, yesterday and this week, as well as today's PV, UV and IP traffic curves. In this interview briefing, you can also directly and clearly understand the data you care about most, such as the most frequently visited keywords, the most frequently visited pages, the most frequently lost pages, popular sources, the traffic and inclusion of search engines, GooglePR and so on.
Added data: refers to the difference between the access times of data items corresponding to the current time period and the previous time period.
For example, the increase of PV on a certain day 10:05 is ↑+288, which means that the PV on that day 10:05 is 288 higher than that on the previous day 10:05.
On a certain day, the online number of 10: 05 increased by ↑+28, which means that the online number of 10:05 on that day increased by 28 compared with the online number of 10:00 on the previous day.
Instructions for use: Site switching: Click the drop-down list of current statistical sites to quickly switch different sites.
Data update: Today's PV, UV, IP and per capita PV, the online population system is automatically refreshed every1s.
Explanation of nouns: PV (number of views): the number of visits, that is, the number of views or clicks. Every time a user visits a website, it is recorded as 1 time. Users visit the same page many times, and the number of visits is cumulative.
The meaning of IP is explained with reference to the above.
Per capita PV: refers to the number of PV that each visitor visits the website within the selected time range. This value is not simply obtained by using per capita PV=PV/UV. Considering the existence of abnormal means to obtain traffic, we use a more accurate algorithm to obtain this value.
Number of people online: visits within 5 minutes.
Sex ratio: the ratio of men and women who visit a website or keyword.
Recent visitors:
Function description: Recent visitors: according to the geographical location of visitors, it is displayed on the map, analyzing the user's situation and behavior, and displaying the latest 50 visitors. Visitors' information can be displayed in a data table. The system will automatically refresh every 1.
Instructions for use: Map: The red dot indicates the IDC location of your website, and the light green dot indicates the visitors of your website. When the mouse moves to a light green point, a bubble will pop up in the picture, showing the user's IP, location and ISP. Click Enter Details to see more information about the visitor.
Term explanation: Return visit frequency: refers to the number of times a cookie visits your website after the first visit.
Stay time: refers to the length of time that visitors visit your website.
Recent access record
Function description: recent visit record: record the operations of 50 visitors on the website in chronological order. The contents include: visit time, user ID, number of clicks, last visit website, IF, IA, source website, number of return visits and geographical location.
Noun explanation: User ID: refers to the cookie record of the visitor. We use a cookie to represent the visitor's ID, which is the last six digits of the cookie.
Click Times: refers to the number of times users click on the links on the page.
Last visit URL: refers to the last page visited by visitors when they visited your website this time.
IF: refers to whether the visitor visits the website for the first time today. If it is 1, it is not 0.
IA: refers to whether it is online or not, with 1 for online and 0 for offline.
Time period analysis
Function description: time period analysis: according to the selected date, the PV, UV and IP data and their changing trends within 24 hours can be analyzed. Today's data system will be updated every 5 minutes.
Including single-day traffic analysis and multi-day traffic comparison.
Single-day traffic: you can analyze PV, UV, IP data and changes every hour of the day.
Multi-day traffic comparison: you can analyze and compare the changes of PV, UV and IP traffic in the selected day respectively. At present, the data of four days can be compared in hours at most.
Noun explanation:
Average number of online people: refers to the average number of online people per hour.
For the meaning of UV%, please refer to the above.
predictive parsing
Function description: Access prediction: You can predict the PV, UV and IP data of your website today, tomorrow and the day after tomorrow, and make a more detailed prediction of a specific source to provide scientific reference data for your website decision.
Instructions for use: Pie chart: When you click a source on the pie chart, the time period analysis curve on the right will become the PV, UV, IP data and change trend of the source within 24 hours.
Daily visit analysis
Function description: daily visit analysis: according to the time period you choose, you can display the PV, UV and IP trends of users' daily visits to websites during this time period, and the system updates the data every minute. By default, the 7-day PV trend is displayed.
Instructions for use: Category under date: Click on the search engine and directly enter the visit, from other specific data that can be seen.
Mouse behavior analysis
Function description: mouse behavior analysis: We intercept the whole web page and mark the attention degree of the content with different colors according to the visitors' clicks. The brighter the color, the more users click, indicating that users are very concerned about the content on this link. By default, the system will analyze five pages: the top three pages with the most external sources, the most directly visited pages and the most popular pages. The sixth page can be added by the user.
Instructions for use: Node number: In order to record the mouse behavior analysis of each page conveniently, we number each page from A to E.
Edit mouse behavior page: We only analyze six pages at most. The system analyzes five pages by default, and another user defines to add. You can also modify the default analysis page of the system. After modification, the system will not analyze on the automatically specified page, but will analyze according to the modified page. If you want to restore the system to automatically specify the analysis page, you only need to leave the name and URL of this page blank.