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Technical optimization

How to get over 1 million impressions on Google Discover using microdata?

By admin  Published On June 23, 2021

Hello everyone! My name is Dmitry Nikitin, and I have been working as an SEO specialist at AIW for over 5 years. I would like to share with you a case study of how the implementation of Schema.org and Open Graph markup helped us not only to raise the CTR in the search results, but also gave unexpected results – to increase clicks from Google Discover by 2 times and impressions in the feed by more than 4 times.

To begin with, the company’s projects are a little over 10 years old. Many new things that I would like to implement were not implemented immediately. The same can be said about micro-markup, it was introduced only at the end of September 2020 in all regions in which our sites operate.

Some introductory information about the sites:

  1. Gaming sites
  2. Regions of the CIS, Europe, USA
  3. Self-written admin panel based on Django
  4. A lot of content, there are also many pages with the old design

What tasks did we want to solve by introducing micro-markup?

  • Increase CTR from search
  • Improve search engine crawlers’ understanding of content engines
  • Get more impressions on recommendations like Google Discover, Opera News, etc.
  • Get various advanced snippets (video, review, breadcrumbs, etc.)
  • Get beautiful preview of posts in social networks (by adding Open Graph)

Where was the micro-markup implemented:

  • did the micro-markup have been markup for all our articles (news, promotions, etc.)
  • educational content (for new users)
  • marked all the videos of the
  • online and offline events pages
  • Added the markup of the menu and breadcrumbs …

What else did they do:

  1. Improved the speed of the site
  2. Fixed all broken links and set up redirects
  3. Added new pages for semantics, changed the output of filters that were in JS
  4. Almost removed all old pages with the old design
  5. Implemented Tiny PNG API (for resizing and reduce image weight)
  6. Checked all CSS and JS files
  7. Added Etag
  8. Made Lazy Load download
  9. Updated Gzip compression ratio

Results:

The main focus was on increasing CTR from search. We succeeded, but today is not about him. The most interesting thing is what results we got from various recommendation systems, especially here Google Discover stood out.

One day we got more than 1 million impressions of content in the feeds of Google Discover users.

Everything is cool, cool case?

Yes and no) With an increase in the number of impressions in user feeds, we got the opposite trend in CTR – its decrease by almost 2.5 times.

What does this mean? This means that Google began to show content more often to the wrong audience that they need, but the audience does not need our content.

Thank you all for your attention!


Google DiscoverIncrease CTRincreasing CTR from searchmicrodataOpen Graph markupSEO specialist

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