Post by account_disabled on Dec 20, 2023 7:15:43 GMT
Andy shares the results of a study “Why LinkedIn thinks your posts are low Quality? »: 1) You overshare. Some people I'm thinking of would do well to calm down a little. Besides the fact that it annoys a lot of people, it is not effective. 2) You never add comments. Comments are one of the keys. We come back to this below. 3) You don't share enough. 4) You don't tag companies or people. 5) For fun: sometimes you share just for fun. After this summary of what can explain why “it’s not working” for you, let’s now look at what can help you improve your performance. 1) The algorithm, to put it simply, how does it work? As soon as your content is published, before anyone even sees it, it is assigned a quality score.
LinkedIn tries to predict how it will be perceived by your audience (new contacts, relationships, subscribers, subscribers to the same hashtags, group members). Then, the content is pushed to a sample of your audience (a test sample of sorts, not all Email Data of your contacts) and LinkedIn sees if there is engagement. Depending on your performance level, LinkedIn pushes it to more people or stops highlighting it. 2) in 1 image, what does it look like? 3) How do I know if the quality score is good or bad? Apart from the indications above, this is impossible. If LinkedIn doesn't think it's good, no one will see it. It's that simple. 4) Does history count? Important question: does LinkedIn take into account past performance (good or bad)? Apparently, even if you make a real hit (in terms of engagement and views), it won't give any benefit for the next post.
In a way, the counters are reset to zero every time. 5) Are some posts artificially pushed? It's a possibility. It seems that some posts are pushed if LinkedIn thinks they deserve it. 6) Does network size matter? I recognize that I have always thought and sometimes put forward, considering that contacts are also (especially in certain cases) subscribers. In fact, a small network may be enough to show LinkedIn that a post is worth pushing. As Andy says, content is like pinball, each interaction (like, mention, comment, share) allows it to bounce. 7) Likes, shares, comments: is it worth it? No, it's not worth it. We have already seen it in several studies, including one published at the beginning of the summer: the algorithm loves comments. This is why some people always end with a question.
LinkedIn tries to predict how it will be perceived by your audience (new contacts, relationships, subscribers, subscribers to the same hashtags, group members). Then, the content is pushed to a sample of your audience (a test sample of sorts, not all Email Data of your contacts) and LinkedIn sees if there is engagement. Depending on your performance level, LinkedIn pushes it to more people or stops highlighting it. 2) in 1 image, what does it look like? 3) How do I know if the quality score is good or bad? Apart from the indications above, this is impossible. If LinkedIn doesn't think it's good, no one will see it. It's that simple. 4) Does history count? Important question: does LinkedIn take into account past performance (good or bad)? Apparently, even if you make a real hit (in terms of engagement and views), it won't give any benefit for the next post.
In a way, the counters are reset to zero every time. 5) Are some posts artificially pushed? It's a possibility. It seems that some posts are pushed if LinkedIn thinks they deserve it. 6) Does network size matter? I recognize that I have always thought and sometimes put forward, considering that contacts are also (especially in certain cases) subscribers. In fact, a small network may be enough to show LinkedIn that a post is worth pushing. As Andy says, content is like pinball, each interaction (like, mention, comment, share) allows it to bounce. 7) Likes, shares, comments: is it worth it? No, it's not worth it. We have already seen it in several studies, including one published at the beginning of the summer: the algorithm loves comments. This is why some people always end with a question.