Measure and predict user behavior on our website

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User behavior is the future of SEO. It took us a long time, but we have realized that the king of SEO is not the content, it is the user, so we must focus more and more on their experience and on what our visitors need, or are going to need.

In this occasion we are going to analyze user behavior on a website, what we need to know and how we can predict it.

Metrics to understand user behavior
Visits: Visits, as well as visit time, are essential to know how our users react to our website. A high bounce rate or a sudden drop in visits will hinder our SEO.
Bounce rate: A bounce rate of 60% means that more than half of the people who visit your website do not click on any link, and their visit time is also short. This is a criterion that we must take into account.
Exit Rate: Is there a page on our website where our users are leaving? If so, this needs to be corrected.
Repeat visits: This involves knowing whether our users are new or whether they are people who have visited us in the past and return regularly.
Opinions: Sometimes, measuring the degree of satisfaction with a website is as simple as checking the opinions of our users.
These are basic metrics. In reality, there are many other statistics that give us a complete and accurate view of what our users do on our website, but the above allow us to get a rough idea.

Predicting our users' next moves
Big Data and algorithms are the two concepts we are going to work instagram database to predict user behavior on a website. At the moment, we can already use very reliable tools that tell us what the probability is that a user will make a decision.

The first thing we have to do is analyze the profile of our users: Who visits us, what do they need?
It presents several scenarios. Not all situations are going to be the same, not all users need the same thing.
Vary the design. It is important to test the design and measure the public's response to the changes.
Why is it important to know user behavior?
Quantifying and understanding user behavior is important for two reasons: on the one hand, it facilitates conversions, that is, if we know what our user needs, we can get them to make a purchase, a subscription, fill out a form, etc., more quickly and accurately.

On the other hand, in terms of SEO, Google currently tends to prioritize the overall user experience over other criteria, this means that the websites that are more user-oriented will be the ones that will be positioned, the search engine has more and more tools to evaluate the characteristics of a website with respect to user satisfaction.