How to improve website navigation with testing and analytics
Hint: it’s not by using the same tips that everyone is reposting since 2012*. So what’s the true improvement? It’s testing with your audience.
Your website needs to work for your audience. It’s not a reflection of your preferences, but a way to help your visitors become a better version of themselves. That’s why we’re advocates for user testing as early and as possible during the web design process. In our articles, we go through the theory of why you should test your audience with real users, as well as practical examples of how to do it. Not sure how to run a user test or where to find participants? We frequently publish new tips to give you access to the knowledge you need.
Hint: it’s not by using the same tips that everyone is reposting since 2012*. So what’s the true improvement? It’s testing with your audience.
The top three technologies B2C content marketers report using to assist with content marketing are analytics tools (85%), social media publishing/analytics (73%), and email marketing software (71%), according to the Content Marketing Institute. But there’s one thing missing here.
High-traffic websites run A/B tests and decide on a variant that works better. In the case of a low traffic website, this isn’t possible. You would either have to wait forever for the arrival of any meaningful data, or invest a lot of money from the get-go. We assume none of these options is viable, otherwise you wouldn’t be here.
Among various website scanning patterns, the F-pattern is the most well-known. However, web designers tend to misunderstand its implications, ultimately wasting resources to conform to the pattern. We’ve compiled a quick summary of the area and an explanation of why the F-pattern is bad for your visitors and your business, together with tips on how to improve your design and content based on scanning patterns.