The LinkedIn algorithm in 2021 and how to get your LinkedIn content seen by the largest number of people:

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When you publish content on LinkedIn, what you want is for it to reach the largest possible number of your potential clients, for as long as possible and with the greatest impact.

When you publish content on LinkedIn, what you want is for it to reach the largest possible number of your potential clients, for as long as possible and with the greatest impact.

Why? because through your content you will tell them who you are, what you do and why you are the best option.

Today the best way to communicate the help you offer is not through a catalog, it is not through an informative website, it is not through your cold and unsolicited emails.

Today the best way to communicate how you help your potential client is through all the content you share.

Read also - LinkedIn Company Page

If your potential client is on LinkedIn, you have to share your content on this social network.

 

For LinkedIn to spread your content among your potential clients, you will have to adapt the LinkedIn algorithm, which is nothing more than pleasing LinkedIn with what you share.

How to please LinkedIn and its algorithm to spread your content?

The process that LinkedIn follows is as follows:

  1. When you publish a post on your wall, LinkedIn does not show it to all your contacts
  2. That post you just posted on LinkedIn is going to be taught to a very small part of your first grade network .
  3. If these people who receive your content in the first place do not make any reaction, that is, they do not like, do not comment, do not share, do not click on "See more " ... etc., then LinkedIn will show your update at that moment.
  4. If, on the other hand, your first degree contacts who have seen or are seeing your update react to it, they like it, comment on the publication, share it, click on "See more", click on the links ... and so on, then LinkedIn will continue to distribute your post this time to second-degree contacts.
  5. If at the same time these second degree contacts react, then LinkedIn will now show your content to most of your first degree contacts , who should be your potential clients.
  6. NEW: In May 2020 LinkedIn announced a new algorithm based on the TIME OF STAY of a person in a post or update. I have called it the Phantom Algorithm because it is invisible
    So the more time a person in your network spends reading your articles, the more likely it is that LinkedIn will continue to show them the information you publish. The same will happen to you as a user .., LinkedIn will show you more and more posts that are related to those where you “spend more time”.
    There will be two types of "ghosts":
    1. Staying in a part of your WALL
    2. Staying in THE POST WHERE YOU CLICK.
    This is really how we measure someone's REAL interest, don't you think? You may not share a post, but if you spend your time reading it, it is a sign that you are interested.

Today I want to talk to you about five factors that help or hinder you on the way to the visibility of your post.

 Can you imagine reaching half a million people for free

  • In this document that I bring you here in the post I show you examples of how some of my articles have reached more than 400,000 people through LinkedIn.
  • I also explain to you what is the reason why you still do not have that visibility that you deserve and believe me that this reason is not the LinkedIn algorithm.

Even so, it is important to take into account how LinkedIn works and what actions we can carry out so that your articles and your post reach the maximum possible visibility. 

In today's presentation I bring you 5 factors that affect the algorithm right now and will continue to affect the LinkedIn algorithm in 2020.

These factors have to do with:

  1. the comments 
  2. the links 
  3. the amount of content you offer
  4. the index with which LinkedIn classifies you and
  5. documents

In addition, at the end of the presentation I bring you the tool that I use to group, analyze and draw conclusions about how my network on LinkedIn reacts to the content that I publish.

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