Google is still nothing but a computer software and if you ranking high in Google make sure you’re ranking high in YouTube so you getting at least 30% suggested video traffic and 25% YouTube search traffic. Google will drop your video if it’s only ranking high because of backlinks. And it’s okay to get 100-200 fake views YouTube don’t care about that, but once it’s like 5,000 views in 2hours for a topic that gets 100 searches a month all from Russia, you going down!
7) Social Engagment - Likes, Comments, and social shares are the name of the SEO game. If you have a high likes to dislikes ratio then Youtube will favor your video so the goal is to get as many likes as possible and as many comments as possible. I'm not going to go into detail here as I cover this in this "Youtube VIDEO SEO" tutorial so pay close attention to the end of the video.
Don’t want sound negative you did put lot’s work into this post but the reality is???…..All this strategies our repeated over and over with many other’s and don’t work.. Truth is nobody really know the algorithm of You tube or Facebook. All this is helpful but not the Info that really is needed….Other then that as I said thumps up for the work you put into this..
Local results are based primarily on relevance, distance, and prominence. These factors are combined to help find the best match for your search. For example, Google algorithms might decide that a business that's farther away from your location is more likely to have what you're looking for than a business that's closer, and therefore rank it higher in local results.
i have never read an informative post until i came across this and am hooked. Helped me recognize broken links that i had no idea where sitting there. Also right in the beginning about having link worthy site, its like you were talking to me about writing see the link "here" and the LSI was a good tip i knew nothing about. Thank you so much and all the best.
Google’s aim is to provide the most relevant result for any given query. Their entire business model relies on them being able to do this, consistently, across hundreds of billions of searches. For that reason, they’ve invested heavily into understanding the intent of queries, i.e., the reason a person typed a specific thing into Google in the first place.