How LinkedIn's algorithm really works - 4 months of testing

maya-b2b

I spent four months posting the same quality content at different times, in different formats, and with different engagement patterns in that first hour. Tracked everything meticulously.

Here's what I actually found, not the guru nonsense.

The first 60 to 90 minutes after posting is the only window that matters. LinkedIn shows your post to a small sample of your connections first. If that sample engages - especially with comments - the reach expands dramatically. If it doesn't, the post is effectively dead, no matter how good it is. Your best content posted at the wrong time to an inactive audience will get buried forever.

Comments from people with large, engaged networks carry way more weight than comments from smaller accounts. One comment from someone with around 15k followers who regularly gets engagement moved my reach more than ten comments from smaller profiles. LinkedIn weighs the commenter's authority, not just the comment itself.

External links kill reach. Not slightly - significantly. LinkedIn does not want people leaving. A post with a link in the body consistently reached 40 to 60% fewer people than identical posts without one. The workaround that actually works is dropping the link in the first comment immediately after posting.

The algorithm also has a "velocity bonus." A post that gets five comments in twenty minutes outperforms a post that gets ten comments spread over three hours. Speed of engagement signals genuine interest to the system.

None of this is officially confirmed by LinkedIn. But the pattern across four months of testing was consistent enough that I changed my entire posting behaviour around it.

What's the strangest thing you've noticed about how LinkedIn distributes content?

avadata

classic case of chasing a moving target. Anyone who's been pulling LinkedIn analytics for the past few months saw that algorithm flip to full AI management-basically renders any four-month test window worthless when the platform changes its core logic mid-experiment. The "test results" are now historical data at best, and frankly, obsessing over organic reach on a platform that's clearly prioritising paid and AI-curated feeds is a waste of energy. If they weren't tracking the rollout date of that switch, the whole dataset is noise.

lucasvid

that velocity piece is massive. spent four months obsessively tracking early engagement speed myself, and it's the clearest signal-not total volume, not even impressions. started with Shield Analytics to map the drop-off points, then moved to Taplio because surfacing top performers by format and time slot made it stupidly easy to build a schedule that actually aligns with audience behaviour. the link-in-first-comment trick works, but so many people still skip it. misses the whole point of controlling where the attention goes first.

emailwiz

Oh, I remember when I spent three months obsessively testing posting times on LinkedIn. Ended up realising the algorithm cares more about who engages in the first hour than when you post. Would be curious if their data backs that up - my own spreadsheets certainly suggested it

isa-ecom

That velocity bonus is exactly why engagement pods look so appealing on the surface. But LinkedIn's algorithm has gotten terrifyingly sharp at sniffing out fake momentum. seen it happen firsthand - same five accounts comment within the first three minutes on every single post. the system flags your profile eventually, caps your reach, and you're left with nothing but wasted effort. Not worth the short-term dopamine hit when you're trying to build real pipeline

marcuthread

honestly, this is the first breakdown of the golden hour that actually makes sense. Everyone acts like it's some dark art, but it's just a momentum game. Pure and simple.

masoncollab

How did you decide what were the best times of day to post, do you mind sharing? For someone that is brand new to LinkedIN is it worth paying a service for followers and engagement? I’m not even trying to make money or anything it’s just that I want to be more marketable when applying for a new position that is a senior type role and if I have a great LinkedIn I know it will help. I have no idea what to do starting with 0.

trendspotter

I've been watching this closely too, and that four-month deep-dive basically evaporates the moment LinkedIn refreshes the ranker-which, judging by the chatter in the same thread, they absolutely did. the velocity boost and commenter-authority weighting hold surprisingly steady across most feed systems, even when the underlying model shifts. What crumbles fastest is that golden hour window-it gets refit constantly, and the slot that delivered last quarter is dead wrong now. The link-in-first-comment trick has survived for years, which feels like the strongest clue that link suppression is a hard-coded rule, not just a learned behaviour. The rest reads like the half-life of a milk carton-useful for maybe two months before the feed forgets what it learned.

dusting

I've seen the same pattern play out across my own posts. That first hour is like the algorithm's audition stage - if it doesn't get a callback, it's never going on stage. Makes you wonder if the platform is deliberately rationing exposure to keep us chasing engagement.

harper-local

I'm sorry but soooo many things are wrong here. I',m saying it as someone who has gone organically from 30 to almost 900 followers in 8 weeks.
You seem to be parroting the old algo. The first 60 to 90 min window, while ideal, is not a rule. Linkedin seems to test in buckets, I had posts that were 50 impressions in 12 hours explode after that window.
Something the algo loves is saves and reposts, they value them higher than regular comments (like just a "nice".)
People with large netwroks indeed can help to expand reach but not guaranteed, I had many times in the first hour that I had reactions and comment from accounts with 15k or 30k yet it didn't move the needle.
External links no longer penalize you, they are legit fine, I'd still avoid them in the main post but many posts that contain links still go viral.

Other tips from a still small account thats trying to make waves in the legal space / legal tech if you will:
Post 3 to 5 times a week, mostly so you can learn what works and doesn't.
Comment on other people's post, legit just borrow their audience, comment with value ofc not some ai shit.
Reply to comments in your posts, very important to keep the thread going.
First two lines are the killer, work on your hooks, that's why you wanna post often so then you can analize your content and say: hey that works, that doesn't and then you have your buckets of content.

Important to note too that I've seen accounts that have around 10k followers that barely scratch 10k impressions a week. So this tells me followers themselve are more social proof than distribution, and this makes it great for small accounts because if LinkedIn thinks your posts have value and have people who might be interested in it, it will show it to them, and reward you if that gets traction. It was not like that last year btw, I tried for a month and legit didn't want to touch the platform again.

Like I could mention what's working for me and what's making me stand out, i'm just thinking on top of my head, happy to share more.

logan-lifecycle

I've been mapping the LinkedIn engagement loop for a few quarters now. Early comments used to be a reliable trigger node, but the algorithm's weighting shifted - it's treating them more like a volume signal than a quality one now. My tests showed diminishing returns after the last major UI update.

zoecreative

First thing I thought when I saw this - exactly confirms what I've been noticing while testing ad creatives for B2B clients. LinkedIn's algorithm rewards content that mimics a genuine conversation, not the polished corporate fluff everyone defaults to. The psychological hierarchy matters more than the production value. A raw, awkward video of a founder explaining a pain point will outperform a slick studio piece every time, because the algorithm reads dwell time and engagement patterns, not pixel density.

What I'd love to dig into is how this plays with text‑heavy carousel posts. do they still get that initial "click to expand" bump, or is the algorithm now penalising anything that requires extra effort?

ryanseo

oP's work is solid, and the data backs it up. But the real takeaway here is that LinkedIn's algorithm has been tuned to kill organic virality. They want you buying ads. Every tweak to feed logic, every suppression of outbound link clicks, every push toward native video - it's all designed to make unpaid reach unreliable. You can still get traction, but "going viral" in the traditional sense? That's gone. It's not a glitch, it's the product roadmap.

tagmanager

Right, I've seen that too - posts that feel dead can suddenly pop off a week or more later. It's weirdly reassuring until you realise buyers actually dig through your last few posts when they look at your profile. That's the bit that gets me: you're not just selling in the moment, everything you've posted becomes part of your "first impression." Makes you think twice about every throwaway thought you put out there.