The core update of the Google search industry email list algorithm "May 2020 Core Update", but what kind of site was affected? Was it a good update for your site? Every time Google updates, the data is presented as "increased" or "decreased" in search traffic. Is industry email list it okay to trust that data? The most dangerous thing is to over-interpret the temporary reductions observed by the industry email list update and make erroneous corrections. It's also really dangerous to exaggerate a temporary victory and expect that rate of increase to last forever. In this article, I tried to "analyze more correctly" the core update of May 2020, so I hope you will find it useful for SEO work.
At the end of the article, we have industry email list a spreadsheet with data for the "May 2020 Core Update" winner and loser sites. Google has carried out the core update "May 2020 Core Update" of the Google search algorithm . The update will be from May 4, 2020. The confusion in Google search results seems to have almost subsided by May 7. The following graph shows the 11-day transition measured by MozCast. Fluctuations were relatively large from May 4th to 6th, peaking at 112.6 degrees on May 5th. Note that the average temperature for the 30 days prior to May 4 was higher than ever (89.3 degrees). * MozCast measures fluctuations in Google search industry email list results, and "temperature" indicates the intensity of fluctuations in Fahrenheit.
The higher the temperature, the more industry email list severe the fluctuation. How does it compare to the previous core update? Even if recent temperatures are well above historical averages, the May 2020 Core Update is the second hottest (most volatile) core update to date, with the August 2018 update `` It's just below Medic. Who is the "winner" of the May core update? After major updates, it's customary to report winners and losers (and I've done that too). But for industry email list some time now, I've come to think that such analyzes cover only a short period of time. When comparing two specific time points, the natural variability of search rankings and keyword-specific differences are always ignored.