For web design , websites with a lot of text content are a problem for the user to grasp the information we want to convey. To know if a web design contains too much text, there is a little trick.
The web designer should sit back in his chair and, with his eyes half closed, scan the page. By inspecting the web design in this way, he will get the same results as any new user to his website. The reason? Simple: users do not read, they skim. Can you then find the information easily? Can you click where you want? If the answer is no, the web design needs to be improved. The web content needs to be made more visible, and that does not mean increasing the typography but rather redrafting and, probably, reducing the content.
If you want to take the test further, you should conduct a web design user test. Place a third person in front of the web design and give them no more than ten seconds to find a specific piece of information. If the user doing the test finds it, you can conclude that you have developed a good web design in terms of textual content. If not, rethink the web design.
What is an A/B test for on a website?
As we mentioned above, A/B testing will allow us to validate changes that we want to introduce to our website and test whether they will really have a positive effect on it.
In e-commerce portals, it is most common to focus this type of test on improving the conversion rate, obtaining more sales, etc. On the other hand, in media portals and blogs we will seek to increase visit quality metrics (browsing time, pages per session, etc.) or get more subscriptions.
Therefore, the objective of an A/B test will vary depending on the website on which it is performed and the goals associated with it .
How to run an A/B test with Google Optimize?
Although there are other more complete or specific tools for performing A/B tests on japan telegram data websites, Google Optimize is a free alternative that will add a lot of value to most portals. Performing an A/B test with this platform is quite simple. We can summarize the procedure in the following steps:
Define what the objective of the A/B test will be, what elements we will modify , on which page we will carry out the experiment and what metric/s we will use to measure the results .
Register on the platform through Google Optimize
In the Experiences section, create a new “A/B Test” type , indicating its name and the page where the test will be applied.
Next we can define the test schedule , that is, the period of time in which it will be active, with a maximum of 90 days.
We can also create one or more variants of the experiment . Using a visual editor, we can introduce the changes to be tested. We will have to define what percentage of traffic is directed to each version (by default, it is evenly distributed between each one).
Enter the objective of our test . We must have previously linked our Analytics account to be able to perform this step. We can use objectives defined in Google Analytics or metrics such as bounce or session duration.
Define whether the test will affect all users or part of them through segments.
Install the test code on our website . We will only get it after linking Google Optimize with Analytics.