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LinkedIn DataUpdated September 2026

LinkedIn Engagement Rate by Industry

Industry engagement rates on LinkedIn sit between roughly 1.2% and 6.5%, with education, nonprofit and professional services at the top and finance, insurance and large retail at the bottom. Those are compiled planning ranges. The computed anchor underneath them is 34 reactions and comments on a typical post for the median B2B account, measured across 67,569 posts and 433 distinct accounts. This page puts both side by side so you know which number is measured and which is a planning range.

Last updated: September 2026 · Next update: December 2026 · Methodology

The measured anchor every industry range sits against

Median account

34

Reactions plus comments per post, 433 accounts

Bottom quartile

12

A quarter of accounts sit below this

Top quartile

117

A quarter of accounts clear this

Engagement rate by industry (compiled ranges)

IndustryTypical rate
Education and training4–6.5%
Nonprofit and public sector3.5–6%
Marketing and creative agencies3–5.5%
Professional services and consulting3–5%
Software and SaaS2.5–4.5%
Recruitment and staffing2.5–4.5%
Healthcare and life sciences2–4%
Manufacturing and industrial2–3.5%
Financial services and insurance1.5–3%
Retail and consumer goods1.2–2.5%

Compiled planning ranges, not Creator measurements. Rate here means reactions plus comments plus shares divided by impressions. The Creator corpus carries no industry field, so no computed figure on this site can be split by sector. Use these to set expectations, then judge yourself against the measured counts in the next table.

What is actually computed, and from what sample

CutBottom 25%Median
All posts1234
English-language posts1444
Dutch-language posts1420
Published 2025 onward1342
Published 2026 onward1448
Accounts posting 100+ times1954

Each row is a separate call to benchmark_within_sender() run on 2026-09-09. Rows do not sum, because each one re-derives the whole distribution over the posts that match it. Language is the closest thing to a market split this corpus supports, and the English against Dutch gap of 44 against 20 is larger than most published industry gaps.

Why industry benchmarks disagree with each other

Different denominators

Some reports divide engagement by impressions, others by followers. On the same post the follower version can read two to four times higher. A 6% education figure and a 2% education figure are often the same posts measured two ways.

Company pages mixed with personal profiles

Sector studies usually sample company pages because pages are easy to scrape at scale. Personal profiles in the same sector run far higher. If your comparison set is pages and you post from a profile, the benchmark is set too low for you.

Sample size collapses inside a sector

An industry median built on 40 accounts moves a lot when three of them go viral. The measured figures on this page hold a floor of 20 accounts and 30 posts per account, and any cut below that is withheld rather than published.

Format mix travels with the sector

Education posts carry images more often than finance posts do. In the computed data, posts with media run a median of 57 against 27.8 without. Part of every industry gap is a format gap wearing a sector label.

How to set a benchmark for your own industry

  1. 1

    Start from the measured counts, not the sector rate

    Take the median of your last 20 posts on reactions plus comments. Place it against 12, 34 and 117. That comparison uses one definition and one sample, so it cannot be gamed by a denominator swap.

  2. 2

    Apply the sector range as a modifier, not a target

    If you sell into financial services, expect the low end of the compiled table and read a median of 20 as normal rather than broken. If you sell training, the same 20 is a signal to look at your format mix.

  3. 3

    Split your own posts by media before blaming the sector

    Posts with media run a median of 57 and posts without run 27.8 in the computed data. Check your own split first. Sector explains less of the gap than format does.

  4. 4

    Build a peer set of ten real accounts

    Pick ten accounts in your sector that post weekly, record reactions and comments on their last ten posts each, and take the median of the whole set. That single number beats any published sector average, because it matches your buyer and your format.

  5. 5

    Re-measure quarterly

    The computed median moves with time: 34 across the whole window, 42 from 2025 onward, 48 from 2026 onward. A sector benchmark you set two years ago is measuring a different feed.

Frequently asked questions

Which industry has the highest LinkedIn engagement rate?

Education and training sits highest in compiled reporting, at roughly 4 to 6.5% typical and 8 to 11% for strong accounts, followed by nonprofit and marketing agencies. Retail and consumer goods sit lowest at 1.2 to 2.5%. These are compiled planning ranges. Creator's own corpus has no industry field, so no measured figure on this site is split by sector.

Is engagement rate higher in B2B or B2C on LinkedIn?

B2B, by a wide margin, because the audience is on the platform for work. The measured B2B founder and consultant accounts in Creator's corpus run a median of 34 reactions and comments per post across 67,569 posts and 433 accounts. Consumer brands posting the same volume typically sit in the 1.2 to 2.5% band in compiled reporting, because their buyer reads them somewhere else.

Should I use an industry benchmark or an account benchmark?

An account benchmark. Take the median of your own last 20 posts and compare it to 12, 34 and 117, the measured quartiles across 433 accounts. Industry rates vary by denominator, sample and format mix, so two sources can disagree by a factor of three on the same sector. Use the sector range to set expectations and the account figures to judge progress.

What engagement rate should a SaaS company expect on LinkedIn?

Compiled ranges put software and SaaS at 2.5 to 4.5% typical, 6 to 8% for strong accounts. In absolute counts, a SaaS founder profile posting weekly should aim past the 34 median before chasing the 117 top quartile. Company pages in the same sector run well below both figures, which is why the founder profile is usually the faster route.

Why do industry engagement benchmarks disagree with each other?

Four reasons. Denominator, since impressions and followers give different numbers on the same post. Sample, since company pages scrape easily and personal profiles do not. Size, since a sector median built on 40 accounts is unstable. Format, since image-heavy sectors look stronger for reasons that have nothing to do with the sector. Check all four before trusting a published sector figure.

Does industry matter more than post format on LinkedIn?

Format matters more in the measured data. Posts with media run a median of 57 reactions and comments against 27.8 without, a gap of roughly 2 times inside the same corpus. Most published sector gaps are smaller than that, and part of every sector gap is a format difference carrying a sector label.

Can Creator compute engagement by industry from its own data?

No. The LinkedInPost corpus carries language, media, recency and posting volume, but no industry classification. The industry table on this page is compiled from public reporting and is labelled as such. The closest measured market split available is language, where English posts run a median of 44 and Dutch posts run 20.

How many accounts do you need before a sector benchmark is trustworthy?

At least 20 accounts, each contributing at least 30 posts, which is the floor Creator enforces before publishing any computed cut. Below that a single strong account moves the median enough to make the figure misleading. Cuts that fall under the floor are withheld rather than published with a caveat.

Methodology

Computed figures come from Creator's LinkedInPost table, queried live through the benchmark_within_sender() Postgres function on 2026-09-09. The function takes each account's own median first, then reports the 25th, 50th and 75th percentile across accounts, so one viral account cannot move a benchmark.

Sample: 67,569 posts across 433 distinct accounts on the all-posts cut. Every row states its own post and account count. Accounts contributing fewer than 30 posts are excluded, and any cut resolving to fewer than 20 accounts is withheld.

The industry table is compiled from published social benchmark reporting and is not a Creator measurement. The corpus carries no industry field. It is published because a planning range is more useful than a blank row, and it is labelled on the page so nobody quotes it as measured.

Posts are B2B founder, consultant, agency and operator profiles. Company pages and sponsored posts are not in the sample. Engagement is read at scrape time, so a post can keep accruing after we count it, which biases every measured figure slightly low.

Language is used as the closest available proxy for market. It is not a proxy for industry, and the page does not present it as one.

Computed rows: Creator LinkedInPost dataset via benchmark_within_sender(), 2026-09-09. Compiled industry ranges draw on published social benchmark reporting including Socialinsider's LinkedIn benchmarks, Rival IQ's social media industry benchmark reporting and Hootsuite's social trends reporting, and are stated as ranges for that reason.

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