Understanding the Linkedin Algorithm in 2024
Sandra Tricoli - Managing Director at Savvy Creations PR
Public Relations and Social Media Specialist
In the digital age, the power of social media has reshaped the landscape of professional networking and career development. LinkedIn, the world's largest professional networking platform, has become an essential tool for connecting with peers, potential employers, and industry influencers. Yet, many users still find themselves puzzled by the LinkedIn algorithm.
First Filter: Spam vs. Quality
The journey of your LinkedIn post through the algorithm begins with a crucial assessment – is it spam or quality content? LinkedIn's algorithm is designed to maintain the quality of its platform. It identifies and filters out posts that violate its spam guidelines or community policies. Clear-cut examples of spam include emoji polls, chain letters, and posts that excessively request likes, reactions, or shares.
But what happens when your post's quality is not so crystal clear? That's when human review comes into play. A team of moderators may evaluate the content, ensuring that it meets the platform's standards before allowing it to appear in users' feeds.
Engagement Signals Matter
Assuming your post successfully passes the spam filter, the next step in its journey is to garner engagement. Engagement is the lifeblood of social media, and LinkedIn is no exception. However, not all engagement is created equal. LinkedIn's recent algorithm updates prioritize meaningful interactions.
This means that your post's value is not solely determined by the number of likes or shares it receives. Instead, the algorithm takes a closer look at the quality of engagement. Thoughtful comments from relevant connections and constructive discussions in the comments section are given more weight. In essence, meaningful interaction is the name of the game.
Delivery to the Right Audience
With valuable engagement signals in place, the LinkedIn algorithm proceeds to deliver your content to the most relevant audience. Three key ranking signals come into play:
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Recent Algorithm Changes
In June 2023, LinkedIn introduced significant algorithm changes, guided by user feedback. These changes aimed to achieve two primary goals:
In essence, the LinkedIn algorithm of 2024 rewards meaningful interactions and knowledge-sharing. To make the most of this algorithmic evolution, focus on creating content that adds value, fosters genuine connections, and aligns with your audience's interests and skills.
So, as you navigate the ever-changing landscape of LinkedIn, remember that understanding the LinkedIn algorithm can be the key to unlocking your full potential on this powerful professional networking platform. Engage thoughtfully, create meaningful content, and watch your network and influence grow.
Want to find out more or need help with your social media? Visit us www.savvycreations.com.au
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3 周I have found the algorithm changes kind of hilarious… my field is I.T and cybersecurity… and most of us are introverts with ADHD. Where are people who don’t talk to other people on our best days… we have no interest in social media and prolific posting.. So what does LinkedIn do? It makes it so it’s nearly impossible to find the best tech talent because they don’t self aggrandize and post content. Recruiters can’t find us, and when we apply to things the algorithm drops our relative value as potential candidates… why? Because we’re not vomiting ‘content 3x a day. LinkedIn, this is toxic to a vast percentage of your membership…
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2 个月Thank you for the informative article!
Good advice but LinkedIn has over corrected you can get less than 50 views on most posts even if it’s deep advice or something meaningful. Less if you share someone else’s post Sandra Tricoli - Managing Director at Savvy Creations PR. I am about ready to leave the platform.
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5 个月Thanks for this post! Does algorithm reward for posting only once or twice a day? In this case I mean public organisation, not individuals.
Work / Tasks / Skills > Skillosopher and Architect. Job and skill architecture for Assessment, Learning, Career Development, Performance, Mobility.
5 个月Interesting. What about photos vs video links/inclusions for content value?