What Is a Good Engagement Rate on LinkedIn in 2026?

LinkedIn engagement rate is the least talked-about number in influencer marketing, and the most underestimated. While brands debate nano versus micro on Instagram, B2B buyers are quietly making purchase decisions based on a thought leader’s last five posts — and the engagement rate on those posts is the fastest signal of whether the audience is real and paying attention.

The short version: a good LinkedIn engagement rate in 2026 is 4–6% for personal profiles and 2–3% for company pages. Both numbers run higher than most people expect, because LinkedIn’s algorithm rewards quality disproportionately, and its audience is self-selecting in a way no consumer platform is.

Personal profiles vs. company pages: the most important split in LinkedIn benchmarking

Before looking at a single number, establish what you’re measuring. Personal profiles and company pages behave like different products:

• Personal profiles average 3.85% engagement. A good rate (top-quartile performance) starts around 4–6%, with anything above 6% considered excellent. Personal profiles benefit from LinkedIn’s heavy weighting of person-to-person content and tend to reach first- and second-degree connections who have context for why the author’s opinion matters.
• Company pages average around 2.1% engagement. A good rate for a company page is 2–3%, with anything above 4% being strong. Company pages get broader algorithmic reach to less-connected audiences, which mechanically lowers the rate — but a company page audience that does engage tends to be high-intent.

The practical rule: personal profiles achieve roughly 3× higher engagement than company pages on equivalent content. When a B2B brand asks whether to invest in creator partnerships versus content on their own page, the engagement gap is part of the answer — a thought leader’s personal post reaches more people who actually respond to it.

LinkedIn engagement rate benchmarks by follower count (2026)

These ranges use the standard by-followers formula (likes + comments + reposts ÷ followers × 100) across personal profiles posting consistently. The same inverse-size relationship seen on every other platform holds here, but it’s less dramatic than on Instagram or TikTok — LinkedIn’s algorithm distributes content by relevance more than by recency, which softens the nano-creator advantage.

Follower count	Below average	Average (good)	Excellent
Under 5K	under 2%	2.5%–4.5%	6%+
5K–20K	under 1.8%	2.5%–4%	5.5%+
20K–50K	under 1.2%	1.8%–3%	5%+
50K–100K	under 0.9%	1.5%–2.5%	4%+
100K+	under 0.7%	1.2%–2%	3.5%+

The headline: engagement holds relatively stable from 0 to about 20K followers (2.5–2.7%), then drops meaningfully at 50K+ and again above 100K. The 1K–5K range often outperforms even against expectation — small but expert audiences engage at very high rates because they’re almost all first-degree connections who opted in deliberately.

How to calculate it correctly

The most common formula:

(Total likes + comments + reposts) ÷ followers × 100

Run it across your last 10–12 posts, exclude any outlier that was reshared by a large account (it will inflate your numbers and distort the picture). If you post sporadically, use a 60-day window instead of a post count.

LinkedIn Insights surfaces impressions rather than reach, which introduces a second formula:

(Total likes + comments + reposts) ÷ impressions × 100

By-impressions runs lower than by-followers because LinkedIn distributes content past your network — posts often get seen by second- and third-degree connections who are less likely to engage. By-followers is what external tools and brands default to; by-impressions is what you should watch when optimizing your own content, because it tells you whether the actual viewers cared.

Engagement varies sharply by content format

LinkedIn’s format gap is wider than on any other major platform — possibly because the algorithm explicitly rewards formats that keep users on the page longer:

• Document posts (PDF carousels): average 6.6–7.0% engagement — the highest of any format. Swiping through slides keeps dwell time up, which LinkedIn’s algorithm treats as a quality signal. A strong document post can outperform equivalent text content by 3× or more.
• Multi-image posts: 6.4–6.9%. Multiple images serve a similar dwell-time function to documents, without requiring a PDF upload. Performance has climbed year over year.
• Native video: 5.6–6.0%. Video uploaded directly to LinkedIn (not linked from YouTube) benefits from in-feed autoplay and strong algorithmic distribution. Video CTR is around 1.8%, well above other formats.
• Text-only posts: 2–4%. The format most creators default to, but the lowest-performing. Text posts can overperform when the writing is genuinely sharp, but they get less algorithmic distribution than multimedia formats by default.
• Polls: roughly 3.5–4.5%, but declining since LinkedIn deprioritized them in a 2026 algorithm update. Polls that generate genuine debate still outperform; polls run purely for engagement data tend to underperform the tier average.

Practically, if your overall engagement rate looks soft but you mostly post text: the format is doing at least part of the work. Switch one text post per week to a document or multi-image and watch what the baseline does before concluding your audience is the problem.

Industry shapes what “good” actually means

LinkedIn’s self-selected professional audience means niche matters more here than on almost any other platform. Rough patterns for 2026:

• Tech and software: 3–6%. Large creator community, high comment volumes, audiences used to evaluating vendors. Comment sections tend to be substantive.
• Finance and professional services: 3.5–6.5%. High-intent audience with real purchase authority. Lower post frequency from creators but higher per-post engagement on expert takes.
• Marketing and media: 4–8%. LinkedIn-native culture, heavy first-mover advantage for strong takes. The platform’s most active commenting community — but also the most susceptible to engagement-pod inflation.
• Healthcare and life sciences: 2.5–5%. More restrained commenting culture, but shares and saves carry more signal (peer sharing to professional networks).
• Manufacturing and logistics: 2–4%. Smaller but focused communities where a 3% rate represents extremely high intent.

If you’re comparing two creators in different industries, the benchmark table above matters less than the within-industry comparison. A marketing creator at 4% and a logistics creator at 4% are in very different positions relative to their peers.

What a low rate signals on LinkedIn

A rate well below the tier benchmark has a few explanations:

1. Connection decay. LinkedIn networks accumulated over years often include connections who have left the platform, changed industries, or simply stopped engaging. The follower count stays high; the active portion of the audience shrinks.
2. Content-audience mismatch. LinkedIn’s algorithm distributes content to people who engage with similar content. A creator who pivots topic (say, from HR tech to cryptocurrency) will see engagement crater until the algorithm recalibrates — often several weeks.
3. Bought or low-quality connections. LinkedIn’s barrier to fake followers is higher than most platforms, but it’s not zero. Mass connection-request campaigns (accepting everyone who connects) inflate follower count with people who have no genuine interest in the creator’s content.

The difference between options 2 and 3 is usually visible in the comment section. A creator with a real but misaligned audience gets some comments — they’re just from the wrong people. A creator with inflated connections gets almost no comments at all, or comments that are generic and unrelated to the post content. You can cross-check the pattern with our authenticity checker.

Comment-to-like ratio: LinkedIn’s sharpest signal

On every other platform, likes are the primary engagement signal. On LinkedIn, the comment-to-like ratio is often more revealing — and brands who know what they’re doing look at it before follower count.

A LinkedIn post that earns 80 likes and 40 comments is a fundamentally different thing from a post with 80 likes and 3 comments. The first is sparking real conversation in an audience that has opinions about the topic. The second is getting polite applause from passive observers. For B2B marketing purposes, the first is worth far more.

Rough target for a healthy LinkedIn post: a comment-to-like ratio of at least 20–30%. Below 10% consistently suggests either a passive audience or content that’s informative but doesn’t provoke a response. When pitching to a brand or reporting your rate, “4.5% engagement with an average of 35 comments per post” is a stronger number than a bare percentage — it tells the brand the audience actually argues back.

What to actually aim for

1. Identify whether you’re measuring a personal profile or company page — the baseline is different, and comparing across them leads to the wrong conclusion.
2. Calculate your rate over 10–12 posts using by-followers, excluding obvious viral outliers.
3. Find your follower tier in the table, then adjust for industry.
4. If you’re in the “average (good)” band or above, that’s the number to lead with in pitches and media kits.
5. If you’re below, audit your format mix before assuming your audience is weak. A shift from text-only to document posts alone can lift average engagement by 30–50% without touching your follower count.

LinkedIn in 2026 rewards specificity more than any other major platform. A creator with 8,000 followers, a 5.5% engagement rate, and a comment section full of senior professionals debating a niche point is more valuable to a B2B brand than a 200K-follower macro-creator with 0.9% engagement and no visible expertise. On LinkedIn, the quality of the conversation is the product — and the engagement rate is how you know whether you have one.