LinkedIn Update: Algorithm Will Downrank Engagement-Baiting Posts

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LinkedIn

LinkedIn has seen a rise in its user activity as the platform had reported ‘record’ levels of growth in engagement for 6 quarters, continuously.

You can expect this platform to continue this upward movement as the broader economy continues its rise after the pandemic.

There will be more opportunities for attention, which will lead to a rise in the number of ‘growth hackers’ who are always on the lookout for ways by which they can maximize their content performance using the platform’s algorithm.

Nowadays, most social media managers have targets built in their KPIs and more attention helps to bring in more potential for their brands. This in turn will also bring in more business and valuable connections.

LinkedIn To Crack Down On Engagement Baiting Posts And Polls

In order to combat this, LinkedIn will now upgrade its algorithms to crack down on such posts, that other users have had enough of.

LinkedIn does not prefer engagement baiting posts and has stated that:

We’ve seen a rise in the number of postings whose only purpose is to increase the author’s visibility on the site by soliciting likes and replies from readers. Some of you have expressed confusion and annoyance at the prevalence of this kind of material on the web, and we apologize for that. We will not promote such material, and we ask that the whole community instead put its energy into producing information that is trustworthy, informative, and original.

They added: Many of our users have complained that there are too many polls in the feed. We’re improving our intelligence so that you only see relevant and useful results. That means you’ll see fewer surveys from total strangers and more from individuals you really know and are more likely to interact with.

With their ease of use and the promise of more interaction, polls might seem like a cheat code for LinkedIn engagement.

The marketers have finally gone too far, and LinkedIn members are sick of surveys for the time being. That doesn’t mean you shouldn’t use them, but you should know they may not be as effective as they once were and might not reach as far.