DATA BY SIGNALSCOUT
The LinkedIn Algorithm Report: 2026
LinkedIn Is a Power Law, Not a Bell Curve
We analyzed 2,279 posts from 246 creators, profiled 3,780 of the people who engaged, and parsed nearly 50,000 reactions and 15,500 comments over 13 months of data. To find out what the feed rewards, who shows up, and what the "post every day" crowd gets wrong.
What's Inside
17 pages of data. From the power law of reach to the anatomy of a viral post
Also inside: Creator Spotlight, GTMfund Analysis, ICP vs Peers, Super-Engager Layer, Topic Performance, Account Heat Map, Investor Category Map, and more
Key Findings
Five insights that will change how you think about LinkedIn engagement
The Power Law
The typical post earns 58 engagements. The top 10% earn 326+. The top 1% clear 2,000. A handful of posts grab almost all the attention. Your goal isn't to be average. It's to create more of those rare, top-tier posts.
The Engagement Split
86% of all reactions are Likes. Only 5% of posts get shared. Comments are where the real signal lives. The report breaks down what each engagement type means for your reach.
The Audience Gap
3,780 people engaged across 2,279 posts. Over 90% are first-timers. They engage once and never return. Most creators are broadcasting to an audience that barely overlaps with their ICP.
The Follower Trap
More followers don't mean better engagement. The data reveals a clear paradox: creators with smaller, focused audiences often outperform those with massive followings. Because engagement quality beats quantity.
Format Over Frequency
"Post every day" is bad advice when the content isn't structured for engagement. The report breaks down which formats, lengths, and hooks drive real interaction, and which ones waste your time.
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