Summary LinkedIn Changed Its Algorithms — Here's How Your Posts Will Get More Attention Now | Entrepreneur www.entrepreneur.com
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LinkedIn's algorithm update reduces complaints by 80% by prioritizing posts from followers and those that share knowledge and advice, aiming to reach the right audience instead of focusing on virality.
Slides
Slide Presentation (11 slides)
Key Points
- LinkedIn has made significant updates to its feed algorithms.
- Some content is rewarded while others have less reach.
- LinkedIn is prioritizing posts that share "knowledge and advice."
- The platform evaluates posts based on audience relevance and the author's expertise.
- Meaningful comments and posts with a unique perspective are rewarded.
- LinkedIn aims to make its feed more relevant and informative.
- The company has seen a reduction in complaints about irrelevant content on feeds.
- LinkedIn does not prioritize viral content and focuses on reaching the right audience.
Summaries
66 word summary
LinkedIn updated its algorithm to address user complaints about irrelevant posts, resulting in an 80% reduction in complaints. Two major changes prioritize posts from users' followers and posts that share knowledge and advice. LinkedIn uses metrics to identify these posts and aims to reach the right audience rather than achieving virality. The algorithm changes prioritize posts with knowledge and advice, demonstrating expertise, and receiving meaningful comments.
132 word summary
LinkedIn has updated its algorithm to prioritize relevant and informative content, addressing user complaints about irrelevant posts. This has resulted in an 80% reduction in complaints. Two major changes have been made to the algorithm: posts from users are now more likely to be seen by their followers, resulting in a 10% increase in post views, and posts that share knowledge and advice are prioritized to reach users who don't follow the author. LinkedIn uses metrics such as audience relevance, author expertise, meaningful comments, and unique perspectives to identify posts with knowledge and advice. The goal of these changes is to reach the right audience rather than achieving virality. Overall, LinkedIn's algorithm changes prioritize posts with knowledge and advice, reaching the right audience, demonstrating expertise, receiving meaningful comments, and offering unique perspectives.
560 word summary
LinkedIn has made significant updates to its algorithm, changing the way its feed works. The platform no longer celebrates viral content and instead focuses on relevant and informative posts. The motivation behind these changes is to address user complaints about irrelevant content on their feeds. LinkedIn saw a surge in activity during the pandemic, with an increase in content shared and viewed. However, users began sharing personal content and engaging in actions to gain likes and followers, which led to complaints. In response, LinkedIn aimed to make its feed more useful for professionals looking to learn and improve. As a result of the algorithm changes, the company has seen an 80% reduction in complaints about irrelevant content.
LinkedIn has made two major changes to its algorithm. Firstly, posts from users are now more likely to be seen by their followers because users have expressed that they find value in content from people they know and care about. This has resulted in a 10% increase in people viewing posts from those they follow. Secondly, posts that share "knowledge and advice" are now prioritized throughout the platform. This allows posts to reach users who don't currently follow the author. LinkedIn's system evaluates whether a post contains knowledge and advice, and then shows it to users who are likely to find it relevant and useful. Since these changes took effect, LinkedIn has seen a nearly 40% increase in people viewing content that is grounded in knowledge from people outside of their network.
LinkedIn uses several metrics to identify posts that contain "knowledge and advice." Firstly, the platform looks at whether the post speaks to a distinct audience. It considers who the post is relevant to and shows it accordingly. Secondly, LinkedIn evaluates the author's expertise in the subject area they are writing about. If the author is not an authority in the topic, the post is considered of lower quality. Thirdly, LinkedIn looks at the comments on a post. It rewards posts that receive "meaningful comments" rather than empty comments like "great!" or "so true!" The platform also considers who is commenting on the post and whether they are from a particular group. Lastly, LinkedIn evaluates whether a post offers a unique perspective or insights from the author. Posts with a distinct perspective are more likely to be rewarded.
LinkedIn wants users to focus on reaching the right people rather than just aiming for likes and followers. The platform is designed to mimic the workplace where different teams have individual conversations. Not every discussion is relevant to every person, and similarly, not every piece of content should be relevant to everyone on LinkedIn. The goal is to reach the right audience rather than achieving virality.
Overall, LinkedIn's algorithm changes prioritize posts that contain knowledge and advice, reach the right audience, demonstrate the author's expertise, receive meaningful comments, and offer a unique perspective.
LinkedIn has made changes to its algorithms that will affect how posts are prioritized and gain attention on the platform. To maximize reach, it is recommended to share "knowledge and advice." The mandated return to the office has resulted in more serious problems than anticipated, causing attrition for companies. A high school teacher in Ontario, Canada, has shared wild emails he receives from students. The Coast Guard is analyzing debris and evidence found at the site of the imploded TITAN submersible.