6 Amazing YouTube SEO Tips From Google Publications

We all have a special admiration for the YouTube recommendation engine. It is one of the smartest innovation by Google. 70 percent of the YouTube watch time is driven by YouTube recommendations.

Google has also launched papers to inform how the YouTube recommendation engine works. Yet, rather than understanding it properly, we emphasize on getting higher rankings on YouTube search results without knowing the first thing about it. We are writing this article to share the six amazing YouTube SEO tips we have extracted from the Google Publications. Here they are

Metadata:

Metadata holds a special significance in the SEO world. Keyword optimization in the metadata has remained an important factor of a great SEO strategy. Now when YouTube has gotten so smart that it can drive closed captions from your videos and can extract information from the content by themselves, you just cannot ignore the significance of Metadata.

YouTube publication on Recommendations told that Metadata is still an integral part of the recommendation cycle. In order to make your video available for the recommendation, you need to provide the very relevant and ample information to every video. It must contain the following things:

Meta Title:

Inculcate the targeted keywords into Meta title in such a way that it makes the audience curious or excited. Attention grabbing titles are more important on YouTube than any other platform because the platform highly relies on the recommendations rather than that of the search results.

Meta Description:

A keyword embedded description which clearly explains the intent of the video is important to gain traction. The more useful and precise information you provide via descriptions the easier it will be for the algorithms to identify the relevance. Relevant and optimized meta description improves the chances to appear in the recommendations.

Tags:

Keyword tags are still important to YouTube videos. They are completely functional unlike the Meta tags on the search engine. Utilize the primary and related keywords to better demonstrate your video’s intent. Like if you’re discussing Cox internet packages in your video you’ll use tags like Cox internet, Cox internet bundles, etc.

Playlists:

Including your video into the playlists related to your content is also a smart way to engage the targeted audience. Or you can recommend your own playlist at the end of your videos. If your playlist does well, you can retain the viewer fora long time.

Filename:

Utilizing your keyword into the filename doesn’t have that big of an impact as it used to have but still, the practice doesn’t hurt anything.

Closed Captions:

Though YouTube’s closed captions are quite accurate you can’t solely rely on them. You need to provide a full transcript into your metadata for better results.

Thumbnail:

A thumbnail should be eye-catching. It shouldn’t contain text but an attractive image or glimpse of the video to persuade the potential audience.

Ranking factors:

There are several ranking factors which also contribute towards the ranking of videos rather than that of the relatedness and co-visitations. Let’s discuss them:

  • Video Quality:
    The video quality signals include the following factors:
  • Comments
  • Likes
  • User ratings
  • Number of shares
  • Watch time
  • No. of views
  • Upload time
  • Content diversity
  • Content relatability- the search engine boost the videos which are related to the user search history on the platform

Understanding the mechanism of Co-visitation:

This is where we will get into the real meat of the YouTube recommendation engine. The recommendation engine is a fundamental building block for YouTube. It is a smart mechanism of mapping out a set of related videos. The similar videos are mostly the videos which a particular user enjoy watching, rather than the content which is necessarily similar. This mapping is also known as co-visitation.

You can accomplish co-visitations by doing the following things:

  • Publish your videos on to the platforms which send traffic to other popular videos.
  • Create responsive videos after a short time period of the initial video
  • Target keywords
  • Create YouTube specific videos

Co-visitation plays a great role in the success of a video. For example, if two videos have a high co-visitation rate, and one of them is not so popular, the relatedness score for the candidate video will still be high and it will good ranking on the YouTube. It clearly tells that your video can pick up traffic from recommendations. You’ll require people to watch a particular type of video to watch your video within that short period of time.

User data:

It goes without saying that we don’t have any direct control over the user data. We certainly can’t optimize without understanding the role of user data. The data is divided into two categories: Explicit and Implicit.

  • Explicit: Explicit data includes video likes, subscriptions, etc.
  • Implicit: Whereas implicit data includes watching time and views etc.

In order to optimize the user data, it is important to encourage the likes and subscribers but on the other hand, it is also necessary to create valuable content which helps to boost the implicit data.

Video Content:

The data within the video is becoming more and more important with every passing day. YouTube explicitly take the raw video stream as a source of information. It analyzes the audio of the video and generates automated transcripts which call for the inculcation of your focused keyword into the audio. You can reference the name of any YouTube channel to whom you’re trying to respond or compete with. This will increase the chances of appearing up in the recommendations.

In-User Personalization:

YouTube Recommendation engine just don’t suggest the videos due to the relatedness but also according to the search pattern and history of the viewer It utilizes in-user personalization mechanism to recommend videos.

Conclusion:

YouTube recommendation engine is user intent central. Understanding the Working of YouTube recommendation engine can drastically improve the chances of success for your YouTube SEO strategy.

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