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On the other hand, the causes should also be analyzed. Let's say that on weekends, as shown in the screenshot above, there is a lower value per session. Could it be because there is no active customer service via chat? Or because people are in the store shopping? Do you see why I am so annoying in reiterating that bad figures do not always mean bad data? “In web analytics, a lower figure does not always mean a worse situation, but rather potential growth opportunities detected.” To close this point, let's recover the thread from its title.
How does SEO affect the rest of the channels or campaigns? If you Special Database have been following my reasoning, it will be easy for you to advance it, but SEO indicates microseasonal trends, that is, weekly ones. If there are days of better performance and, instead, we are carrying out social media actions on days of lower value, we could try to change and try to adapt the best days in SEO to the days in which we apply greater intensity to the social strategy.
While it is true that you surely have social analytics of your network strategies (right?), crossing this data with SEO will allow us to see comparatively how SEO can warn of intraweek seasonalities from which to learn and apply to Facebook or Twitter . It is not about turning this comparison into an internal war between departments, but rather about feeding and optimizing strategies based on comparative data. “SEO cannot learn from social media because we cannot control the number of daily searches, but we can learn and apply SEO analysis in other online channels” And speaking of comparisons between online marketing channels, here we go with two more reports that analyze it in a more exhaustive way.
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