Most LinkedIn sellers are visible to thousands and relevant to nobody.
They post constantly, comment on everything, and still wonder why the pipeline stays empty.
Visibility feels like progress because the numbers move. Relevance doesn't give that same hit.
So people optimize for the metric that rewards them fastest, not the one that pays.
A client asks me: "What should I focus on for LinkedIn growth?"
Me: The satisfaction score and the interest graph.
Them: "No no, I mean like the practical stuff. Hashtags, posting times, carousels."
I tracked 1.3 million posts for the Algorithm Report. None of those things matter the way people think they do.
The algorithm measures whether someone slows down on your post in the first 60 minutes. That's the whole game.
A speaker tells 500 people his LinkedIn growth hack:
"Post carousels. Optimize for the algorithm. Use hashtags."
I've tracked 1.3 million posts for the Algorithm Report.
Carousels are losing reach year over year. The algorithm is now an interest graph that doesn't care about your posting schedule. LinkedIn killed hashtag distribution two years ago.
But the room is nodding. Because the advice sounds right. It matched the platform in 2023.
The algorithm moved. The slide deck didn't.
264,000 followers on LinkedIn.
Wrote the most downloaded algorithm report in the platform's history.
Still can't get LinkedIn to explain their own ranking system to me.
The irony of being a "LinkedIn expert": the more you study the algorithm, the less the algorithm makes sense.
Check out the latest article in my newsletter: #62 LinkedIn's Unfinished Business - Chapter 6 Algorithm Insights Report https://t.co/BZGrwlq80r via @LinkedIn
LinkedIn: "We're cracking down on AI slop."
Me, who literally wrote the algorithm report: cool, what counts as slop?
LinkedIn: "You know... slop."
Me: I tracked 1.3 million posts. Define it.
LinkedIn: "Just be authentic."
I genuinely don't know what they want from me.
Check out the latest article in my newsletter: #60 The Anatomy of a High Performing Post (Chapter 4 Algorithm Report) https://t.co/4aOivpbm8n via @LinkedIn
Sequoia: "services are the new software."
They're right. But they missed the distribution angle.
We tracked 1.3M LinkedIn posts. Personal profiles get 17x more feed visibility than company pages.
Your service IS the product. LinkedIn is the storefront.
The #1 mistake I see on LinkedIn right now:
People create "content strategies" based on topics.
Topics don't convert. Conversations do.
Start conversations your ideal client is already having in their head.
X just added 24,000 lines of "slop score" code to kill AI content reach.
LinkedIn did this quietly two years ago.
We tracked 1.3M posts after. AI-written content lost 30-40% reach. Personal stories gained.
X creators are about to learn what LinkedIn creators already survived.
Everyone's chasing followers on LinkedIn.
The algorithm doesn't care about your follower count.
We tracked 1.3M posts. The data is clear:
A 5,000-follower account with high dwell time outperforms a 50,000-follower account posting low-effort content.
LinkedIn measures how long people stop scrolling.
Not how many people could see your post.
Build for attention quality. The reach follows.
13 LinkedIn post formats won't help you if you're using the wrong ones for your stage.
We tracked 1.3 million posts. The data is clear:
At 0-5K followers: story posts and contrarian takes build the fastest.
At 5-20K: data breakdowns and frameworks compound.
At 20K+: lead magnets and case studies convert.
Most people pick formats based on what's trendy. The algorithm rewards formats based on where you are in the growth curve.
Full breakdown in the Algorithm Report → https://t.co/bheb0osNMc
Anthropic is hiring a "Copywriting Lead" at $320k/year.
The company building arguably the best AI model in the world decided that words still matter more than code.
After training 350,000 people on LinkedIn, here's what I know:
AI writes 80% faster. But the 20% it can't do �� voice, timing, context — is where all the money is.
The algorithm literally measures "satisfaction" in the first 60 minutes. AI can't feel what satisfies your specific audience. You can.