Web Analytics Case Study: Building Reader Loyalty

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sohanuzzaman56
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Joined: Thu Dec 26, 2024 5:22 am

Web Analytics Case Study: Building Reader Loyalty

Post by sohanuzzaman56 »

March is here and, like almost every month, it's time to take the Google Analytics reports and measure the results , client by client. With some customized reports (our own brand) and some automatic ones, we can get some answers to the very important questions that need to be asked before carrying out any Web Analytics action.

For example, in a content website, the starting point is to increase reader loyalty. They are what will really tell us whether the content is worthwhile or, on the contrary, our value is lost at this point. From here, we gambling data china can ask ourselves questions such as whether the interest in said content is high, whether they register, whether thanks to these points they will become prescribers, etc.

Web Analytics (February 08-09)

Let's look at a practical (and real) example, with data from last February, which ended yesterday, comparing data with the same month in 2008.

In general terms, let's look at the main data and compare it with last year:

With the two data in bold, we can say that we are generating interest in our readers. There is still room for improvement, of course. But initially, our goal was to generate loyalty among the readers of this website. Another point that can be useful to us is the reduction in time spent on the page. It has been reduced by 30%, so a priori it could be said that it is not a good figure. I don't think so, since one of the first measures that was taken on this website (when we proposed the total redesign) was to specify more professional and technical articles, reducing their length. That is: to make them more useful for readers and, seeing the results, it seems to have worked.

We continue looking at data, now directly related to the month in question, taking into account all the tools used to promote said content as support for the main objective: performance of the best landing pages (do we need to improve them?), the keywords that take us to those pages, the best sources according to time of day (it can give us an idea of ​​how the feedburner email is more/less effective)… The list of parameters could be endless! That is why, with a defined goal, you can ask the right questions that will give you the right answers.
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