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All of this goes under the name of Web Analytics . The Web Analytics Association gives this definition: Web Analytics is the measurement, collection, analysis and reporting of Internet data for the purpose of understanding and optimising web use. This data is very useful because it helps you understand which product or service pages, for example, your potential customers visit the most, which days of the week you have the most visits and which days your visits drop dramatically, which words they searched for comoros business email list within the site, etc. What data do you need to know? A website statistics system provides you with a lot of data, but which data is really important? What data do you need to know and analyze to make improvements to your site? Pages visited Time spent by the user on the site and for each page Any downloads Sites and social networks from which visits come Direct visits: by typing your site's URL directly Demographics: What countries are your visitors coming from? Keywords: What keywords did they use to find you? How many new visitors do you get each day? How many of the old ones come back to visit your site? Conversions What pages do they come from? Create a table of data to analyze Start with this data to measure and create a table where you will report each data and its values.


This way you will get a complete picture of what is happening on your site and you will be able to think about the next steps to take. Or, rather, you'll have to ask yourself a series of questions first. Are you sure all the content you created is enough? Are you also sure that each content is effective, that is, that it brings concrete results? Why do your visitors abandon your site after just a few pages viewed? Why are there only a few seconds left on each page? Why aren't you getting visits from social networks? Don't be scared: these are just extreme examples, critical situations that can happen one at a time or, worse, all at once.