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LinkedIn Algorithm

The LinkedIn algorithm is not one piece of code but a series of ranking systems that filter, score, and re-score content before it reaches a feed. It decides which posts a given viewer sees based on their past behavior, their network, and how a post performs in its first minutes and hours.

What it actually is

There is no single algorithm. LinkedIn runs a post through multiple passes before it settles into someone's feed. A spam and quality filter checks the post first. If it clears that, an initial quality score gets assigned based on signals like completeness of the post, past behavior of the author, and early reactions. From there, engagement velocity (how fast people comment, share, and react in the first hour or so) and dwell time (how long people actually stop and look at the post before scrolling past) keep adjusting its reach. A post can pass one filter and still die at the next.

This is why two posts with the same hook and the same format can perform completely differently. The system is layered, not linear, and it is re-evaluating a post continuously, not just once at publish time.

Why this matters if you sell

Buyers are watching LinkedIn before they ever take a call. A post that reaches the right procurement lead or the right VP isn't just a vanity metric, it's a warm impression that makes the eventual outbound message or demo request land differently. If your content isn't clearing the algorithm's early passes, it isn't failing quietly. It's failing before the people you're trying to reach ever see it.

The misconception

The common belief is that there's a trick: post at 8am, use exactly three hashtags, ask a question in the first line, and the algorithm rewards you. This treats the algorithm like a single lock with one key. It isn't. A post can nail every "best practice" and still get suppressed at the quality or dwell time stage because the content itself doesn't hold attention. Chasing hacks optimizes for the wrong layer of the system.

How it's really measured

What you can influence is the input to each pass, not the pass itself. Write posts people actually stop to read, not skim (dwell time). Write posts that get real comments in the first hour, not empty emoji reactions (velocity). Post as an account with a consistent history of relevant content, not as someone who posts once a quarter (quality score baseline). None of these are hacks. They're the actual levers, and they're slower and less exciting than a trick, which is exactly why most people ignore them.

Related

Dwell TimeEngagement VelocityContent Quality ScoreFeed Distribution

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