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LinkedIn DataUpdated September 2026

What Is a Good LinkedIn Follower-to-Engagement Ratio?

Aim for 8 to 20 reactions and comments per 1,000 followers on a typical post. In absolute terms the median LinkedIn account earns 34 reactions and comments per post, computed from 67,569 posts across 433 accounts, so a 2,000-follower account at 34 is running a healthy ratio and a 20,000-follower account at 34 is not.

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

Reactions plus comments per 1,000 followers, by follower band

Follower countHealthy per 1,000 followers
Under 1,00015–30
1,000–2,50012–25
2,500–5,00010–20
5,000–10,0008–16
10,000–25,0006–12
25,000+4–9

Compiled ranges by follower band. Creator's dataset records follower_count_at_posting as 0 on all 68,706 rows, so no follower-band figure here is computed and none is presented as one. The absolute column is anchored to the computed distribution in the next table.

Computed: what a post actually earns, no follower band applied

MetricBottom 25%Median
Reactions plus comments1234
Reactions only1027
Comments only15.5
Impressions363975

Computed with benchmark_within_sender() on 2026-09-09. The impressions row is a separate and much smaller sample, because LinkedIn shows impressions only to the post owner and only 13 accounts in the dataset clear the post floor. The engagement rows and the impressions row are not the same accounts, so do not divide one by the other. Use each figure against its own sample.

Healthy ratio

8–20

Reactions plus comments per 1,000 followers

Median post

34

Computed, 67,569 posts / 433 accounts

Comment share

1 in 6

Median 5.5 comments against 27 reactions

How to calculate and read your own ratio

  1. 1

    Take your last 12 posts, not your best one

    Twelve posts is enough to survive one flop and one outlier. Fewer than that and a single post decides the answer.

  2. 2

    Take the median, not the average

    One post that went wide will drag an average up by 3x and tell you nothing about a normal week. The median is the number to track.

  3. 3

    Divide by followers, then multiply by 1,000

    Median reactions plus comments, divided by your follower count, times 1,000. A 4,000-follower account with a median of 48 is running 12 per 1,000, which sits in the healthy band.

  4. 4

    Compare to your own band, not to a creator account

    The bands fall as follower count rises, because LinkedIn shows a post to a shrinking share of a larger audience. Comparing a 3,000-follower account to a 40,000-follower one gets the reading backwards.

  5. 5

    Track the comment share separately

    The median account runs 5.5 comments against 27 reactions, about one comment per five reactions. If your ratio is far above five reactions per comment, people are seeing your posts and not answering them.

  6. 6

    Recheck quarterly

    Ratios move slowly and monthly checks mostly capture noise. Quarterly comparison against your own prior quarter is the reading that changes decisions.

Frequently asked questions

How many likes should I get per 1,000 followers on LinkedIn?

8 to 20 reactions and comments combined per 1,000 followers is healthy, and reactions alone typically account for about four fifths of that. So a 5,000-follower account should expect roughly 40 to 100 reactions on a normal post. The computed median across 67,569 posts and 433 accounts is 27 reactions and 5.5 comments per post in absolute terms.

How do I calculate my LinkedIn follower-to-engagement ratio?

Take the median reactions plus comments across your last 12 posts, divide by your follower count and multiply by 1,000. Use the median rather than the average, because one wide post distorts an average badly. A 4,000-follower account with a median of 48 is running 12 per 1,000 followers, which is inside the healthy 8 to 20 band.

Is a high follower count with low engagement a problem?

It is a distribution problem before it is a content problem. LinkedIn tests every post on a small slice of your audience first, and a low response on that slice stops the post spreading. An account with 20,000 followers and a median of 15 reactions is being shown to a fraction of its own audience, usually because the followers were collected from a topic the account no longer posts about.

Should I judge a post against my follower count or against other accounts?

Against your own last 12 posts first, then against the absolute benchmark. Your follower count only tells you which band to read. The computed median of 34 reactions and comments per post, taken across 433 accounts, is the outside reference, and your own trailing median is the one that catches a real change.

Do inactive followers permanently hurt my ratio?

They lower the denominator maths but they do not suppress you forever. LinkedIn tests posts on people it thinks are most likely to respond, not on your whole follower list, so dormant followers mostly make your ratio look worse than your reach actually is. Posting consistently on one subject rebuilds the responsive slice within a couple of months.

Methodology

Computed rows come from benchmark_within_sender() run against Creator's production LinkedInPost table on 2026-09-09, once each for reactions_plus_comments, likes, comments and impressions.

Each account's own median is taken first, then the 25th, 50th and 75th percentiles are read across accounts. Sample for the three engagement rows: 67,569 posts across 433 distinct accounts.

The impressions row covers 1,679 posts across 13 accounts, because LinkedIn exposes impressions only to the post owner. It is published at a stated 10-account floor and is a different sample from the engagement rows, so no ratio is derived between them.

Per-1,000-follower bands are compiled ranges. follower_count_at_posting is 0 on all 68,706 rows in Creator's dataset, so a computed follower-tier cut is not possible and none is claimed.

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

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