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What is Google's Analytics hot-try? Google Analytics Hot Try is a new version of the Web page click Volume Visualization tool, called the page Details Analysis report, she through the intuitive way to show the visitor in the page of the click Behavior, and can tell you different locations, different styles of the popularity of links. You can find her in the content report. In the new Page details report Google provides a strong analysis function, if the time period of data comparison, multidimensional subdivision and path analysis functions and so on. Below we will detail the powerful new version of Google Analytics Thermal Force tool.
A brief introduction to Google Analytics Thermal-power-seeking function
In the Google Analytics page Details Analysis interface, a total of two parts. Part is the display area of the Web page's thermal force, where the different links in the current page are clicked. The other part is the functional area, which provides various analytical tools in the functional area. This section describes the 5 main analysis tools.
Quality and quantity analysis of click Behavior in the page
The amount of clicks is the number of times the link is clicked by the visitor, the more clicks, the greater the value of the volume. In many heat-seeking tools, data is usually displayed according to the number of clicks. Google Analytics is no exception, so when you see a link in a thermal diagram with a high click ratio, the link or the location is very popular with visitors throughout the page. But only a quantity is not enough, we are more concerned about the quality of each click, the quality of the click behavior refers to the visitors click on the link to complete the target ratio. These goals may include the registration of visitors, downloads, purchase of goods, and so on some column behavior. In the Google Analytics, in addition to the number of clicks, it will also provide the number of transactions per click, Revenue, and target conversion indicators, used to measure the quality of the visitor's click behavior.
Analysis of the distribution data of clicks in the split-screen
Analysis of the distribution data of clicks in the split-screen
How long is your site page? is the content at the bottom of the page interesting? What advice should we give when designing a new page? Many times the designer has to design the length of the page according to experience, but is this length correct? We need to use data to validate. Split-screen Click Volume distribution is such a function, she can be used to analyze visitors in the first screen, two screens and three screens ... of the click Behavior. At the bottom of the Google Analytics thermal attempt is an orange area that shows the percentage of clicks per screen in the total page click Amount. In the above screenshot, the first screen under the Orange area shows "the number of clicks below ~36%", which shows that the ~64% in this page is concentrated in the first screen (1-36%), and the first screen thought that the number of clicks accounted only for ~36%. Drag the scroll bar on the right side to find that the percentage of the orange area to the bottom of the page is smaller until 0%.
Data comparisons at different time ranges
In Google Analytics, each report provides a time dimension of contrast, including year-on-year and chain. This feature is no exception in the Google Analytics hot-try report. By selecting the time range and comparison time at the top of the report, we can see that any link in any page has a comparison of clicks and target conversions in different time periods. And their tendency to change. The screenshot above is a link from the bottom of an article page in my blog to the April 2011 November and April 10 of the chain click Data. Of course, you can also choose to use the April 11 data compared to March 11.
Click to share the layered filtering function
Which links in the page get the most clicks? which links bring the most conversions? which links get fewer links and even ignore them? With a wide range of links and data, Google Analytics Thermal Power Tools provides the ability to filter by clicks. The filtering tool is divided into 7 levels. The maximum number of clicks in the current page is 100%.
The most classic application of the level of clicks is to view the hot zone map with more than 100% hits and the hot zone map of the target to convert more than 100%, and see if the link to the maximum number of clicks also brings the most value to the site.
The meaning of the numbers in the thermal diagram of Google analytics
In the thermal diagram of Google Analytics, all of the visitor's behavior and page metrics are expressed in digital form. What are the meanings of these numbers? How is it calculated? What is the difference between the meaning behind the numbers and the definition of the indicators? This section will mainly introduce the meaning of several key numbers in the thermal diagram of Google Analytics.
What is the number of clicks, how to calculate?
Google Analytics Thermal Map of the default indicator is the number of clicks, but in fact, Google Analytics is not recorded in the page of the mouse click behavior. Regardless of where this click takes place on the page. So where does the click number of links in a thermal diagram come from? This click Count actually refers to the PV of the linked target page. That is, when a visitor clicks on a link in the page, Google can record that the link is clicked only when the GATC in the link target page is fully loaded. Otherwise, this click will not be recorded.
So how do you calculate the percentage of clicks that are displayed in the thermal diagram? The answer is simple, the number of times the link is clicked in the page divided by the number of clicks on all links in the page.
Calculation formula: Link hits/page all links click times.
The point to note here is that the number of clicks on all links on the page refers to the PV of all linked target pages, not the PV of this page.
The data in the content details
On the left side of the Google Analytics page Details Analysis interface, it provides details of the content, including browsing volume, stay time and bounce rate, and so on. This part of the data belongs to the page in the current thermal diagram. They are the same as the data in the top content report of the page.
The most common demographic characteristics of data
The most popular demographic features describe the basic attributes of visitors from two dimensions, namely language and country. The data represents the most visited guest attribute in the current time range. The data here comes from geographic map reports and language reports under the visitor reports, and the data is consistent with it.
The hottest technical data
The hottest technology is consistent with the most common demographic features, describing the device settings for visitors to the site from the screen resolution, operating system, and browser perspective. The data here comes from browser reports, operating system reports, and screen resolution reports from visitors ' reports. And the data is aligned with it.
The subdivision function in the thermal diagram of Google analytics
The new page Details analysis report, like many reports in Google Analytics, also provides a breakdown of the thermal effort. and unusually powerful. How strong is the tangle? She supports the use of high-level groups to subdivide, basically can meet any dimension you can think of data subdivision.
Use report-Level filter segmentation
The first subdivision tool is the report and filter, as with all the report-level filters provided by Google Analytics, there is also a report-level filter in the page Details analysis report, which should probably be called a hot-seek filter. Through this filter we can view the visitor's click behavior in the page through a dimension. In the screenshot above, we chose the keyword dimension of search engine and set the keyword of "Blue Whale website Analysis" exactly. Here you can also change the dimension to the source, the media, or the campaign. The matching method also supports the positive clutter expression.
Using Advanced Group Segmentation
The second subdivision tool is a powerful, high-level group that supports all predefined and customizable high-level groups in the Google Analytics thermal map. If you have already used the advanced group to subdivide the traffic. Then apply them directly to the thermal diagram. Look at what the visitors have done on the page without jumping or turning.
PS: In Google Analytics, each account under the maximum support only 100 senior groups. Regardless of which configuration files these high-level groups are distributed, whether they are a duplicate or shared high-level group. When you reach 100 high-level groups, the system prompts you to create new groups, and you will not be able to continue creating any new high-level groups.
Use Demographic dimension subdivision
How do you feel the use of report-level filters and high-level groups is too complex, Google Analytics in the content details of the report also provides 5 predefined subdivision tools, we mentioned earlier the most common demographic characteristics and the hottest technology. Select the country dimension under the most common demographic features, at which point the Google Analytics hot attempt prompts the filter tool to be enabled. Yes, this is a predefined report-level filter. Choosing to modify the filter will find that the system has set the country exactly to match China's condition in the filter. At this point the data in the thermal diagram all belong to China's visit.
Use the Hot Technical dimension subdivision
The hottest technology is another three predefined subdivision tools, using the same methods as demographic features. Click on the screen resolution, at this time the top technology screen resolution accounted for 100%, and the thermal diagram of the data is this page in the 1440*900 resolution of the performance. But there's a problem at the moment. The country we have previously chosen to match exactly the China dimension is no longer working. Yes, that is to say, the dimensions in a predefined subdivision tool cannot be superimposed. The heat-seeking filter can only support subdivision under one dimension.
Path analysis in the thermal diagram of Google analytics
After reading the page's click to distribute the data, you must have a problem, now I know where the user went, then where do these users come from? The Google Analytics page Details Analysis report provides a simple set of path reports to answer this question. She tells you in the form of a list of which pages the visitor comes to the current page, and which pages go after browsing through the current page.
Incoming sources of traffic
The source of traffic flow is the page details analysis interface to the left of the inbound source function. Here, Google lists all the entry pages for the current page, which also includes sources that come directly from outside the station, collectively (entrance). Click on the path page to view the hot attempt on the page.
The target page after leaving
As you enter the source, the target page after the departure lists the pages that visitors visit after they leave the current page. The number of clicks and percentages is the same as the data shown in the thermal diagram. Click on the arrows below to see a list of more subsequent pages.
Using the Google Analytics hot-try FAQ?
Why do some links in the page have no data?
In the thermal diagram of Google Analytics, some links are not data. This is the normal situation. In the following cases, Google Analytics's thermal diagram will not report the link's hit count data.
1 All outbound links in the page
Google Analytics does not track outbound links by default, so there is no way to count the number of clicks on the page for all links outside the site. The solution is to use the virtual page method for this part of the link to count the clicks.
2 links included in JS in the page
When a link in a page is included in JS, Google Analytics cannot track the number of clicks, nor does the thermal diagram contain the clicks on those links.
3 downloads, subscriptions and other functional buttons
Download, subscription, video playback and other non-page browsing behavior by default will not be tracked by Google Analytics. The solution is also to use virtual pages for tracking.
4 Link target page does not contain GATC
Google Analytics Use the PV of subsequent pages to calculate the number of clicks on the previous page link, so if the page that happens to follow does not implement GATC, then Google Analytics will have no data to compute the link clicks on the thermal map.
Total page hits totals equals 100%?
Yes, the total number of clicks on each link in the entire page is equal to 100%.
What is the difference between two kinds of bubbles in a thermal diagram?
Typically, more than one link in a page points to the same target page. For example, at the top of my blog, the blog title and home page all point to the home page. To differentiate this, Google analytics uses two types of bubbles in the thermal diagram to identify them. A bubble in a solid line indicates that the current link is the only link in the page that points to the target page, and no duplicate links exist. A dashed link means that there is at least one link in the current page that points to the same destination page as the link.
To identify which links in the page are common to the same target page, it's simple, and the bubbles turn gray when we put the mouse on the bubble. At this point, see what else is on the page that is grayed out, and the links under these bubbles are those that point to the same target page. Because Google cannot tell which link the user is clicking on, the same type of bubble data that points to the same target page is the same, indicating the number of times all such links have been clicked.
How do I see the thermal data for other pages?
By default, when we open the Google Analytics page Details Analysis report, Google will display the site's homepage of the hot attempt. So how do you look at the thermal data on other pages of the site? The dumbest way to do this is to go in one page at a point. Until you open the page you want to query. This approach is fine for a lighter page, but it's a hassle for the deep process page. and very time-consuming. Here's a simple way to quickly look at any page's thermal attempts. Action steps are as follows:
1 Meditation 3 times I love Google Analytics thermal diagram.
2 Opens a new tab window in the browser.
3 Copy the URL of the page you want to view to the address bar and open it.
When the page is loaded, Google Analytics will automatically display the thermal data on the page. and displays the content details and the path data in the floating layer way. Here there is only a simple click on the layered filtering function, and the split-screen click Volume data. You cannot perform any time comparison and subdivision functions. If you want to turn off the hot data click the Close button in the upper right corner, you can browse the Web page normally.
Author: Wang Yanping
Article Source: Blue whale's website Analysis notes reproduced please indicate the source link.
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