September 30, 2020
by Ann

GSC keywords: How to analyze your desktop and mobile traffic

User behavior frequently varies on mobile and desktop versions of your site. That’s why the data on impressions, clicks, CTRs, and even rankings in SERP will also differ for mobile and desktop versions. We recommend that you apply the following TOP-down approach to your GSC keywords data:

  1. Analyze the total summary of the data from the desktop, mobile, and tablet devices in order to see your keywords’ SEO opportunities in general. Learn more about all the GSC keywords tool features.
  1. Analyze the data separately from the desktop/mobile versions to see the difference in the CTRs, keywords, and users’ behavior. 
  1. Go to the dashboards with particular keywords/pages that win or lose traffic and compare the mobile/desktop reports to understand what works better/worse for your users on different devices.

Below you’ll find how to do this step by step:

1. By default, JetOctopus shows you a total summary of data of all devices and analyzes how your site performs in SERP in general.

Look through the Device chart in the Overview report to see what version receives more Impressions/ Clicks/ CTRs and ranks better (and thus requires your special attention).

2. Now switch to the separate Desktop/ Mobile report to see the difference in CTRs, keywords, and users’ behavior. The data will be rearranged in no time.

3. Now go to the Datatable and look for particular Keywords/ Pages in SERP that bring you traffic to see how to optimize your tags and content for mobile/desktop devices as shown in the following table:


If you have any questions about GSC integration, 
please feel free to email us at support@jetoctopus.com.

About Ann
Ann is the Content Strategist in JetOctopus. She learned the dynamics of SEO from scratch by understanding the inner workings of logs and crawl reports data. She cross-examines actual SEO cases by studying clients’ websites and loves being an active member of the technical team. Because of her dedication, she has become technically savvy and always bases her definition of quality content on real data and not on speculation. You can find Ann on Twitter and LinkedIn.

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