Learn about the clicks of the Web page (cont.): Data Filtering and segmentation

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A few days ago a friend let me try their own development of records and Statistics page link to click the tool to achieve the function similar to my previous article-to understand the site page click on the introduction of Google Analytics above In-page analytics functions, And make up for some of the flaws in the In-page, because this feature, whether it is implemented or some application-oriented design is very good, so can not help to open a sequel to introduce.

Thanks to @jasseyyang can let me experience and trial their own development tools, share with me the implementation of the tool to some of the functions of the design and consideration, many function points are jasseyyang according to the needs of their application design added, so the whole tool finally practical very good, With his careful consideration of the design phase is inseparable, the design and implementation of tools Jasseyyang has been introduced in his blog-page-click Analysis tool design and implementation.

Deployment and use

First of all have to say the deployment and use of this tool, because it's a good illustration of Ease-of-use and a convenient and efficient data viewing experience, ease of use and experience are particularly important for all products, as are data analysis tools, so we tend to use graphs and some visualization methods to present data. But all data visualization is not suitable for "distracting", where the "Lord" is certainly the data to express the view (Insight). Rational use of data visualization can help us understand data more efficiently.

Like many web analytics tools, this tool also uses the embedded JS page tag method, in the need to monitor the page to add a line of JS code can be, in fact, is loaded with a. js file, all features are included in this file.

Then is how to view the data, as long as the page after the URL plus #hotlink, such as my blog home when using the "http://webdataanalysis.net/#hotlink" when the page will display the click of each link data, and in-page Analytics's display form, using the top of the suspension navigation bar and yellow small bubbles, look at my blog screenshot effect:

Some of the options above can be used to subdivide and filter the data, as described below, a small yellow bubble appears next to each link in the page to show the number of clicks under the navigation bar specified conditions. Of course, the display of data has permission control, only the user with permission will display the data after using #hotlink. This method is really very convenient, in fact, many tools can learn from. and click the statistics and display of data are basically real-time, the current generated clicks will be added to the display immediately.

Data Filtering and segmentation

GA's In-page analytics feature does not provide direct data filtering and filtering capabilities, but we can filter data through advanced groups and advanced filters, and this tool provides some basic data filtering and segmentation in the floating navigation bar, including date and time periods, sources, new and old users:

As shown above, the left-hand side of the navigation bar can directly choose to view today's and yesterday's data, but also support the choice of time range, such as here I chose from May 18 to May 20 of all page click Data.

The source of the subdivision is also done very well, not only to view the source site's domain name (left Drop-down box), while supporting the further subdivision of the source site, such as the choice here is Baidu, so the source is used as a search engine, click the source next to the "Routing details" After that will be on the right side of the search keyword that is the number of clicks that each search keyword brings; if the source is not a search engine, but a common external link site, then the display of "Routing details" is the link in the site of the specific page URL, the use of source segmentation we can further identify the source page to bring the Click, The clicks that each search keyword brings, and where these clicks occur on the page, how they are distributed, are especially useful when analyzing the effects of the site's promotion.

The last is located in the middle of the "new and old visitors" subdivision, according to Jasseyyang's introduction, the new and old visitors to the identification is not based on the entire station, but according to the click of each page to record, if the user generated a click on a page, then when users re-enter the next day, The user is even the old user of the page. This definition takes into account the specific business application, because if the user has not visited a page, even if the user has entered your site, the page for the user is also unfamiliar, the corresponding resulting clicks should be the first time users browse the page interested in the link.

Practical application

Although the In-page analytics function of GA also provides the click data of the page, because of the flaw in its own statistical method, it will encounter some problems in the use, and cause some limitations of application, and this tool solves these problems well.

The first problem to solve is the monitoring of external links, as shown in the picture on the right, my blog friendship recommended another friend of a data monitoring tool, a picture link to the tool introduction page, such as the external links of such sites click Data in GA in-page analytics is not shown, Only by configuring event monitoring methods can monitor statistics; Then there is the basic each blog has a link table, such as my blog will be with some friends in the same trade blog exchange links, recommendations, these links are also outside the link, and other such as the site ads or links to other domains under the promotion of links, The statistics on these clicks can be used to evaluate the effect of advertising, in fact, CTR is the CPC type of advertising a very important assessment indicators.

Another problem the tool solves is that GA's in-page analytics is indistinguishable from the same link on the same page, so that we don't know which link it comes from, such as the chunk of every article in my blog's home page that actually has 3 places to enter the details of the article:

The title of the article, the thumbnail of the article and read more ... can be clicked to enter the article page, so we sometimes from the user experience design perspective will consider the content of the exposure in the end is using a text chain or the use of pictures or text chain combined with the image of better results? Use this tool to effectively perform this evaluation. In fact, this problem before the analysis of mobile phone application products encountered, because the mobile phone screen is limited, so each can be exposed to the content will be limited, and we know especially the first page of the content display is particularly important, if we use the picture combined with simple text description, then a screen may only expose 2-3 content, And if you change to a plain text link, so what can be exposed can be increased by one time, but sometimes beautiful pictures can effectively enhance the interest of users, and then attract users to click and browse, so this is a trade-off, and the combination of data analysis can give us a more scientific and persuasive answer.

Of course, this tool is used internally, so there's certainly a lot of customization to be done, like the goal of customizing the site, as well as the In-page Analytics of GA to monitor the clicks and monitor the arrival of the target, or to mark some special links, In order to make a special subdivision of some links and so on. I think if there is such a tool on the market, many websites will try to use it.

Try Google's website optimizer for a few days, and if it's not too much trouble, just click on a/b test page to help accumulate some data.

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Website Data analysis: Understand the site page click