Quantitative analysis of the scroll of data
Scroll data leads to improved sales
Scroll is quantified, at any location the user will see at a glance what is willing have or interest, have lost interest.
In particular, AB testing with AI (artificial intelligence) in SiTest, since statistical data of the scroll rate are utilizing, the excellent combines benefits of automated testing for attribution and improvement of the leaving points is performed.
In order to increase the conversion rate, improvement of the scroll rate is not allowed to write 100 percent.
All also induction to a specific page will start from the scroll. Because you can also analysis of a multi-device, you can also individual improvement.
Use method of scrolling data
Scroll data is what was more quantify the scroll analysis.
Also to understand the withdrawal page in Google Analytics, you do not have Shoga improvements and do not know the location of the landing page that you are leaving.
Also as shown in the figure above, such as a new user and repeat visitors, it will also be clear that each of the measures because it is equipped with segment function.
Google and for Yahoo! influx comparison are also possible, the company has been a listing advertising, exactly modification of the page that was in each of the media, since it is a test, you can improve that matches the more targeted.
SiTest consulting team, especially the scroll data is one of the most check function, or go to how scrolling is very important concept to conversion up.
Since available from free if you just scroll, let's check by all means what circumstances the case for your site.