Post by account_disabled on Dec 2, 2023 2:06:29 GMT -8
YouTube is the second most popular platform in the world, with over 1 billion users, which means that every minute, more than 500 hours of video are uploaded. To meet the viewing needs of these people If we put it into round numbers, we will find that viewers around the world watch over 694,000 hours of video on YouTube per day. With the popularity of this platform Marketers are therefore interested in how to use YouTube to meet their business objectives as much as possible. This time, STEPS Academy would like to tell you what algorithms YouTube has adjusted in 2022. In order for everyone to plan marketing strategies in online channels to better meet the needs of the target group.
Today I will tell you about all 4 changes. Let's take a look. 1. Personalizing recommended Phone Number List video clips Based on Audience Profile analysis Every day, YouTube recommends more than 600 million videos to people around the world, so having some of our videos appear on the recommended page in the YouTube feed helps increase awareness of our channel. We can see how often our channel appears on other people's home pages at YouTube Analytics Traffic Sources . The method for viewing YouTube Analytics is Log in to your YouTube channel. Click on the 'profile icon' of our channel. Select the word YouTube Studio. When you do this, a report page will appear on your Dashboard.
The question is, what should we do to get YouTube to recommend our clips to many people when every day there are people competing to upload new clips? If we want to answer this question, we must first understand that YouTube's Machine Learning is always learning what types of clips each user likes or doesn't like to watch through YouTube Surveys and analysis of browsing history. Including various usage behaviors such as What kind of clips does Mr. A usually click to watch? Mr. B can watch content about anything for a long time. What channel does Mr. C like to click like on for his clips? To explain it more visually, YouTube collects more than 80 billion data points every day to create Audience Profiles or Audience Avatars, and then lets Machine Learning learn what types of people should be placed in the same group.
Today I will tell you about all 4 changes. Let's take a look. 1. Personalizing recommended Phone Number List video clips Based on Audience Profile analysis Every day, YouTube recommends more than 600 million videos to people around the world, so having some of our videos appear on the recommended page in the YouTube feed helps increase awareness of our channel. We can see how often our channel appears on other people's home pages at YouTube Analytics Traffic Sources . The method for viewing YouTube Analytics is Log in to your YouTube channel. Click on the 'profile icon' of our channel. Select the word YouTube Studio. When you do this, a report page will appear on your Dashboard.
The question is, what should we do to get YouTube to recommend our clips to many people when every day there are people competing to upload new clips? If we want to answer this question, we must first understand that YouTube's Machine Learning is always learning what types of clips each user likes or doesn't like to watch through YouTube Surveys and analysis of browsing history. Including various usage behaviors such as What kind of clips does Mr. A usually click to watch? Mr. B can watch content about anything for a long time. What channel does Mr. C like to click like on for his clips? To explain it more visually, YouTube collects more than 80 billion data points every day to create Audience Profiles or Audience Avatars, and then lets Machine Learning learn what types of people should be placed in the same group.