In the Website Analysis Tool Practice Guide's promotion Transformation Induction force (above) discussed how to find and optimize the page that causes the user to leave, for example:
(1) Clear navigation when booting to other pages and improve usability of pages
(2) To provide users with the required information on the page, add the conversion target link in the obvious position
(3) To prevent users from the psychological gap to leave, as far as possible to ensure that the page design consistent
(4) Prevent the page from a dead end, check and appropriately add a guided navigation link
This article then discusses how to improve the user's ability to transform, more visitors to the transformation link, complete transformation.
2. Is the customer lost in the website?
Users in the site to find the content or function, repeatedly point to point to always can not find, and then there is no way only to click the site map. Is this a very much?
At this time only need to check the user from which pages into the site map, you can know which pages the user is lost, and then look at the user from the site map page into which pages will know the user want to find the page is which.
For example: Function list page → sitemap → price list such a click stream if too much, you need to add a more eye-catching link in the Feature List page to jump to the price list page.
⇒ In the parsing of the path analysis function to see the specified page flow route and the specified page source route, you can easily get the user's lost page.
Forward path analysis
Reverse Path Analysis
In addition, if users on the site frequently use the browser's "Back" button, but also a sign of the user lost, this time should be the user frequently press the "Back" button page for the center analysis to grasp the user's expectations, and then improve the site through the design of the wire to prevent users lost.
The user's action within the site and the browser's "Back" button click action can be achieved, depending on the Web analytics tool you use.
The following is a brief introduction to the Web analytics tool to obtain data types.
The data that Web analytics tools can get are roughly divided into two types.
(1) Flow data (point data)
Web browsing Volume (PV), the number of visits, access to the source URL, search keyword rankings.
(2) User behavior data (linear data)
Basically all web analytics tools and traffic statistics tools can be used to analyze the midpoint of the site's data, but whether it can get user behavior data (linear data), depending on the tool will vary. If you use an analysis tool that only gets point data, you can see the results on the data, but it's hard to find out why.
Of course, knowing the reason doesn't mean knowing how to improve. Therefore, you need to use the network marketing PDCA cycle to improve marketing ROI (ROI) as the goal, combining point data (traffic data) and linear data (user behavior) for analysis and optimization.
We will complete the remaining two topics (3) in the Ascension Transformation Inducement (below), which are the pages that contribute to the conversion and 4. More attention to the failed access path), please look! Welcome everyone in our website Analysis QQ Group (group number: 229656963) in the discussion, advice!
(Copyright GUI Lin website Analysis blog All, welcome to reprint, but reprint please specify the source.) )
Web Analytics Tools Practice Guide Promotion Transformation Inducement Force (i)
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