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I usually recommend yes, not to draw smiles when we see a brutal decrease in the bounce rate (since it would mean little), but to improve the quality of the decisions we can make about the success of the overall SEO strategy. “Adjusting the bounce rate is not intended to make us happy about its decline, but rather to improve our decision-making regarding the SEO strategy” We will see that the bounce rate will drop from figures that are probably close to % to others that could only be %.
Has anything changed? Not at all! Don't make that Special Database mistake, we have simply changed the way we analyze the information. What's the point of editing the bounce rate? Let's say for example that we analyze our best articles, and both have a bounce rate of %. After editing the code we see that one has lowered its bounce to % and the other has only lowered it to %. What we see? Well, the SEO strategy has managed to position both very well (since I have suggested that you take your two best posts in terms of attracting SEO traffic) but there is one that does not respond to the needs of users or readers.
Hence the importance of giving what they are looking for. Before we did not know which worked best, since having such high bounces, Analytics cannot calculate the average time of the sessions that arrive from these articles properly. By eliminating the bounce based on reading time, we have gained in data quality and we will be able to use these new inputs to adjust the SEO strategy. Beware of the % rebound article after editing! This insurance needs a review so as not to continue throwing away everything achieved with SEO and losing possibilities of gaining reader loyalty.
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