The recommendations were put into practice

[sumaiyakhatun27]

We created a summary table of competitors and entered the analysis data there.

As a result, the client was given recommendations on how to rebuild from competitors:




Also check the previously inserted links - they may no longer work or lead to information you don't need. Replace the links in the article with more recent and relevant ones. A few more tips: Analyze user behavior while reading the article .


Using Webvisor in Yandex.Metrica, you can track how exactly a person behaved while uae rcs data studying the information. Perhaps there is one popular place after which people left the page – pay close attention to it. Go to the "Webvisor" tab in "Yandex.


Metrica", select the required date and click on the launch icon on any line. This way you will see how the user behaved on the site. You can also find out the date of the visit, the time spent on the site and other data.


The recommendations were implemented, and more on the results later.

We analyzed the client's own content (website, social networks, publications in the media). We gave recommendations for improving the content on the website, social networks, and external platforms. We pointed out shortcomings and errors on the website pages.
We created a semantic core. We identified several clusters, selected the most frequent queries. The main cluster was “medical information system”. It must be said that the frequency of queries was low: perhaps that is why we managed to reach the top for many articles.