Have you ever worked with a large data ? The answer might be “Yes” or “No” . The truth however is that there is no way you will work with large data without segmenting data in order to discover what your Prospects or customers have in common. This also applies to web analytics. This happens to be the focus of this article.
In many of my previous articles, I have said it that the best way to get value out of data is to segment them based on their source. This will help you to properly analyse them and take appropriate decisions. In this article, I want to look at two types of data analyses that can be carried out when you need to make important decisions. Follow me as we look at this together in this article.
Behavior based segmentation
When you are segmenting data, behaviour based segmentation is based on the activities carried out by the visitors in your website such as viewing every page on your website, commenting on your articles, subscribing to your blog RSS among others. Users can be divided based on this activities so as to know the level of interest that they have in your website.
When you focused on behavior based segmentation when segmenting data, you can understand what your customers are looking for as a group. This will also help you to work towards providing what they are actually looking for. With that you can increase conversion rate on your website.
There are some parameters that can be used to analyse behavior based segmentation such as:
Total page views
Total bounce rates
Average time spent by a visitor
Number of returning visitors
In depth browsing performed by visitors to extract information.
I want to say this that if the average time spent by your visitor is less that 30 seconds, you should consider adding images, animations, videos , content among others to engage visitors on the website.
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