# How Does the LinkedIn Algorithm Work in 2026? 116,000+ Posts Analysed

Source: https://www.flypost.io/learn/linkedin-algorithm-study-data
Author: Sam Cassman, Founder, Flypost
Last verified: 2026-10-12

How does the LinkedIn algorithm work in 2026? Mostly not the way the listicles claim. We tested the most repeated rules against 116,000+ posts from 2,400+ B2B creators, comparing every creator against their own posts, and re-ran everything in October 2026. Three things work: personal stories, images and writing in the first person. Ten popular tactics don't.

You already know the rules the LinkedIn algorithm supposedly rewards. Post Tuesday morning. Use
three to five hashtags. Keep it short. Never put a link in the post. End with a question. Open with
something contrarian. And lately, a new one: LinkedIn changed the algorithm this year and nothing
works any more.

Almost none of it is backed by evidence. And this is not stale folklore from 2019: Hootsuite,
Sprout Social, Buffer and the rest republished these rules within the last year. Under each
tactic below we link to who is making the claim right now, so you can see exactly what is being
recommended before we test it.

So we tested it, first in July 2026 and again in October, against 116,000+ posts from 2,400+ B2B
creators. We can't see inside the algorithm. Nobody outside LinkedIn can. But we can measure what
it actually rewarded, and whether that changed. Here is everything we found.

_Change in reactions, compared with the same creator's other posts_

**Worth doing**

- Tell a personal story: +33% (Worked for 3 in 4 of the creators we tested)
- Attach an image: +35% (Worked for 73% of creators)
- Use "I", "my" or "we" in the first line: +19% (Worked for 69% of creators, in every format)

**Don't bother**

- One or two hashtags: No change
- "Unpopular opinion…" openers: No change
- Leading with a statistic: No reliable change
- Hitting a target post length: No magic number
- Picking the right day to post: No change
- Three or more hashtags: −7%
- Ending with a question: −7%
- Writing at the reader ("you should…"): −10%
- Opening with a question: −17%
- "Comment KEYWORD to get it": −24% since July

## How we tested the LinkedIn algorithm

One rule separates this from most LinkedIn "studies", and it is worth thirty seconds.

Say you want to know whether hashtags work. The obvious test is to compare posts that use them
against posts that don't.

The problem: **the people who use hashtags are not the same people who don't.** Maybe they are
newer. Maybe they post more. Maybe they have smaller audiences. Whatever you find, you have
measured the people, not the hashtags.

So we did it the other way round. We found creators who _sometimes_ use hashtags and sometimes
don't, then compared **their hashtag posts against their own hashtag-free posts**. Same person,
same audience, same writing ability. The only thing that changes is the hashtag.

A tactic only counts as working if the same person does better with it than without it.

> This sounds like a technicality. It isn't. Three of the most exciting patterns we found ("long posts
> win big", "Sunday is the best day", "frequent posters get more per post") shrank to almost nothing
> or vanished once we applied it. All three were really measuring who was doing the posting.

We ran the whole study twice. The first run, in July 2026, covered posts from July 2025 to July
2026\. In October we collected every creator's newer posts and re-ran every test on the latest 12
months, October 2025 to September 2026. The numbers on this page are the October ones. Full detail
on the sample is in the [methodology](#methodology) at the end.

## Did the LinkedIn algorithm change in 2026?

Not in the way people describe it. Across the same 2,100+ creators, the typical post earned about
**10% fewer reactions** from June to September than it had in spring. That is a slow slide, not a
crash: there was no single week where engagement fell off a cliff, and it looked the same for
small and large accounts in every region.

**A creator's typical post, compared with their own March to May 2026 posts**

|  | Reactions, % of each creator's own spring level |
| --- | --- |
| June to early July | 90 |
| Mid July to early August | 90 |
| August | 86 |
| September | 83 |

_Source: Flypost · 2,100+ creators, 1,000 to 1,400 per period, Jun–Sep 2026_

For scale, the same creators slipped about 7% over the same months of 2025, so roughly 7 points of
this year's slide are new. Real, but nothing like the "reach has collapsed" posts suggest.

Two caveats. First, we measure reactions and comments, not views. Richard van der Blom's 2026
algorithm report, [discussed on Creator Science in June 2026](https://creatorscience.com/podcast/richard-van-der-blom-2/),
puts reach for active creators down about 60% over two years while engagement fell only 20 to
25%. Fewer people may be seeing posts, while those who do still react. Second, some individual
accounts genuinely did drop hard, about 1 in 12 of them. But a similar share drops hard every
year, and the ones who fell furthest had mostly cut back on images and personal stories.

**One thing really did change: engagement bait stopped working.** MagicPost's
[October 2026 analysis](https://magicpost.in/studies/linkedin-algorithm-changes) reported that
posts asking readers to "comment KEYWORD to get the guide" went from beating their author's usual
views to roughly half of them after late July. We checked it on our own data. Before July those posts earned about **13% more** reactions
than the same person's other posts. Since July they earn about **24% fewer**, and only 36% of the
people still using them came out ahead.

We also checked whether accounts whose posts read as AI-written were singled out. They slid a
little further than everyone else, but not by enough for us to be sure it's real. So if your numbers dipped this year, look at
what you're posting before you blame the algorithm. The rest of this page says what to look at.

## What actually works on LinkedIn in 2026?

**Effect on a creator's own typical reactions** (Reactions, compared with the same creator's other posts)

| Tactic | Reactions vs their own posts | Change in reactions | Creators tested | Who benefited |
| --- | --- | --- | --- | --- |
| Attach an image | 1.35× | +35% | 1,047 | 73% |
| Tell a personal story | 1.33× | +33% | 1,549 | 75% |
| Use I, my or we in the first line | 1.19× | +19% | 1,734 | 69% |
| Use video | 1.15× | +15% | 618 | 60% |
| Include a concrete detail | 1.15× | +15% | 1,000 | 62% |
| Use a carousel | 1.11× | +11% | 224 | 55% |

_Source: Flypost · 2,400+ B2B creators, Oct 2025–Sep 2026 (personal stories: Apr–Sep 2026)_

### Do personal stories work on LinkedIn?

Yes, and by more than almost anything else we've measured. Posts where the writer described
something they actually did, saw or went through earned about **a third more reactions** than the
same person's other posts. It worked for **3 in 4** of the 1,549 creators we could test.

This is new in the October run. To spot a story, we had an AI read every post from April to
September 2026 (83,185 of them) and answer one question: is the author describing their own
experience, or only giving advice? We then compared each person's story posts against their own
advice posts.

Two related checks point the same way. Posts with at least one **concrete detail**, a real number,
a named company or tool, a specific example, earned about **15% more**. And posts with neither a
story nor a detail, the generic advice that fills most feeds, earned about **13% less**.

So the practical move: before you post, ask whether you could have written it without having been
there. If anyone could have written it, add the part only you know.

### Do LinkedIn posts with images get more engagement?

The same person's image posts earned **35% more reactions** than their own text posts. It worked
for **73%** of the 1,047 creators we could test this way, in every region and at every audience
size. In July the figure was 33%, so it has held steady.

That makes it the most reliable thing we found, and the least clever. No formula, no hook theory.

**What kind of image?** We don't know, and we won't pretend otherwise. Our data tells us whether a
post had an image, not what was in it. That's the next study.

What we can say is that the lift comes from having one at all. So the practical move is simply to
stop publishing naked text. A screenshot, a photo of the thing you're describing, or a plain chart
all clear that bar. What does matter is the shape you export it at:
[the LinkedIn image sizes that survive the mobile crop](https://www.flypost.io/learn/linkedin-post-image-size) decide how
much feed space you take.

Video (**+15%**) and carousels (**+11%**) helped, but less, and only for a little over half the
creators who used them. Treat those as worth trying rather than as safe bets.

Two things actively hurt. Posts that were **mainly a link share** earned about **11% less** than
the same creator's text posts. And polls were the worst thing in the entire study, at **58% down**.

Only 47 creators qualified for the poll test, so treat that as a strong hint rather than a settled
number. But nothing in our data recommends a poll.

Polls are also the sharpest disagreement between our method and the standard one.
[AuthoredUp's algorithm report](https://authoredup.com/blog/linkedin-algorithm) (updated June
2026\) gives polls a 1.64x reach multiplier, the best of any format, and
[SalesRobot](https://www.salesrobot.co/blogs/linkedin-polls) (March 2026) says they "double the
engagement". Both compare across different people, and they measure reach rather than reactions.
Compared within the same creator, on reactions, polls came dead last. We cannot both be
describing the same tactic; the difference is that cross-creator numbers measure _who uses
polls_, while ours measure _what a poll does to your own numbers_.

### Do first-person LinkedIn posts perform better?

Posts whose first line used **I, my, we or our** earned about **19% more reactions** than the
same creator's other openers. That was tested on 1,734 creators, and **69%** of them benefited,
exactly as in July.

This one survived unusually hard checking. First-person posts weren't more likely to carry an
image, and weren't any longer, than everything else. So it isn't some other effect in disguise. It
held in every format: text, image and video alike.

It's the same lesson as the story finding, at the scale of one line. **LinkedIn readers reward
posts that sound like a person describing something that happened to them.** Not a brand. Not a
coach. A person.

**Instead of:** What's the biggest mistake founders make when hiring their first salesperson?

**Try:** I hired the wrong head of sales twice before I understood what I was getting wrong.

_Question opener → first person · Illustrative example, written by us. Not a real post from the study._

**Instead of:** You need to stop treating your LinkedIn profile like a CV.

**Try:** I rewrote my profile last month, and the inbound doubled. Here's what changed.

_Writing at the reader → writing about yourself · Illustrative example, written by us. Not a real post from the study._

Same subject, same information. The second version of each simply reports something the writer
did. Our [breakdown of LinkedIn hooks](https://www.flypost.io/learn/linkedin-hooks) takes all five first-line archetypes
one at a time, including the two that cost you reactions.

_This is why Flypost drafts from your own material rather than generating filler. The thing that
works is the thing only you could have written._

## What doesn't work on LinkedIn? Ten tactics that failed

Every number below comes from the same test: each creator measured against their own posts.

**The tactics that failed. Effect on a creator's own typical reactions.** (Reactions, compared with the same creator's other posts)

| Tactic | Reactions vs their own posts | Change in reactions | Creators tested | Who benefited |
| --- | --- | --- | --- | --- |
| 1–2 hashtags | 1.00× | No change | 907 | 51% |
| "Unpopular opinion…" hook | 0.98× | -2% | 398 | 47% |
| 6+ hashtags | 0.94× | -6% | 699 | 45% |
| End with a question | 0.93× | -7% | 924 | 41% |
| 3–5 hashtags | 0.92× | -8% | 971 | 44% |
| Write at the reader ("you") | 0.90× | -10% | 1,382 | 35% |
| Add a link | 0.87× | -13% | 1,366 | 40% |
| Open with a question | 0.83× | -17% | 685 | 31% |
| "Comment KEYWORD" (since July) | 0.76× | -24% | 120 | 36% |

_Source: Flypost · each creator compared against their own posts, at least 3 posts each way, Oct 2025–Sep 2026_

### Do hashtags work on LinkedIn?

One or two hashtags did **exactly nothing**. Three to five cost about **8%**. Six or more cost
about **6%**.

The advice, as currently published:
[Sprout Social's hashtag guide](https://sproutsocial.com/insights/linkedin-hashtags/), updated
May 2026, says "limit yourself to three to five hashtags per post", and
[Hootsuite](https://blog.hootsuite.com/linkedin-hashtags/) recommends the same range. Neither
cites data for it. Three to five is the exact range that cost the most in ours.

**About a third of posts still use them.** That is an enormous amount of effort going into
something that, at its very best, does nothing at all.

This is also a good example of why the fair test matters. Compared across different people, one or
two hashtags _looked_ helpful. Compared within the same person, the effect vanished entirely.

### Does LinkedIn penalise posts with links?

Half true, and wildly oversold.
[Hootsuite's algorithm guide](https://blog.hootsuite.com/linkedin-algorithm/), updated July 2026,
says "the algorithm doesn't prioritize posts with outbound links", and a
[July 2026 Forbes piece](https://www.forbes.com/sites/jodiecook/2026/07/30/the-linkedin-link-penalty-cutting-your-reach-by-60/)
puts the penalty at 60%.

What we measured: adding a link to an otherwise normal post cost about **13%** of
reactions, and **40% of creators actually did better with links.** That's almost exactly the July
figure, so the link penalty hasn't grown into the catastrophe people describe.

Worth separating two different things here, because they get muddled:

- **A post that is mainly a link share**, a headline and a URL, does clearly worse: about **11%
  down** on the same person's text posts.
- **A normal post that happens to contain a link** costs about **13%**, and often earns it back.

So it is a trade-off, not a rule. If the click is the point of the post, 13% is a fair price.

> **What about putting the link in the first comment?** Still recommended in 2026 by
> [ConnectSafely](https://connectsafely.ai/articles/linkedin-post-best-practices-guide-2026) ("put
> it in the first comment, not in the post body") and
> [AuthoredUp](https://authoredup.com/blog/linkedin-algorithm), while the same
> [Forbes article](https://www.forbes.com/sites/jodiecook/2026/07/30/the-linkedin-link-penalty-cutting-your-reach-by-60/)
> claims the trick is now penalised too. We couldn't test it either way. Our data covers the posts
> themselves, not their comment threads, so we can't see what people put in the comments or what
> happened next. It's the single most requested answer we don't have, and it's queued as the next
> study. Anyone telling you the exact number today is guessing.

### Does "comment KEYWORD to get it" still work on LinkedIn?

Not any more. "Comment GUIDE below and I'll send it to you" was a growth trick that genuinely
worked: before July 2026, those posts earned about **13% more** reactions than the same person's
other posts. Since July they earn about **24% fewer**.

It's the one tactic in this study that changed direction during 2026. Fewer than 1 in 100 posts
use it, so most people won't notice. If you do, offer the resource with a plain link or a direct message
instead.

### Does ending a post with a question get more comments?

This is the most confidently repeated tip on LinkedIn.
[ConnectSafely's 2026 guide](https://connectsafely.ai/articles/linkedin-post-best-practices-guide-2026)
says "every post should end with an invitation to engage", and
[Hootsuite](https://blog.hootsuite.com/linkedin-algorithm/) recommends asking your audience a
question. Neither offers data. It is also the tip we tested hardest.

> The typical post that ends with a question gains about half a comment.
>
> _Flypost study · 924 creators, each compared against their own posts_

Across 924 creators, the typical change was **about half an extra comment** and about **7% fewer
reactions**.

To be fair to the tactic: those posts were more likely to gain a comment than lose one, and the
penalty has eased a little since July. But comments come in ones and twos, so you are still
giving up something real for very little.

### Should you open a LinkedIn post with a question?

**17% down**, the worst opener we tested. Only 31% of creators benefited. Questions underperform
at both ends of a post, though the opening question costs far more.

Hook guides still teach the question opener in 2026, but on this one the data keeps piling up on
the same side.
[AuthoredUp](https://authoredup.com/blog/linkedin-hook-examples) ranked question hooks last of
the five styles it tested across 309,614 posts, and
[MagicPost](https://magicpost.in/blog/linkedin-hooks) measured a 34% penalty across 1.2 million.
Three studies, three different methods, same answer.

### Do "unpopular opinion" hooks work on LinkedIn?

**No difference.** 398 creators, 47% benefiting: a coin flip.

[Postiz](https://postiz.com/blog/linkedin-post-engagement-tips) claims the "Unpopular opinion:"
opener "can triple engagement". Across the 398 creators who actually use it, the coin flip is
what we found instead.

### Does opening with a statistic get more engagement?

**A little, if the number is in your first line.** Within the same person, a first line
containing a number earned about **8% more** reactions, across 1,772 creators. Making the number
the very first word did nothing reliable (288 creators).

[MagicPost's analysis](https://magicpost.in/blog/linkedin-hooks) of 1.2 million posts found first
lines containing a number earn more likes (35 median against 26). We agree on the direction but
not the size: theirs compares across different posters, so part of their gap measures who writes
number-led hooks. Our July version of this page only tested the number as the opening word and
called it a dud; testing a number anywhere in the first line is the fairer match for their claim.
So get a specific figure into your first line if you have one, but don't contort the sentence to
lead with it.

### Should you write "you" in a LinkedIn post?

Openers built on _you_ and _your_, such as "You need to stop doing this", cost about **10%**. Only
35% of creators benefited.

### What is the ideal LinkedIn post length?

There's no magic number, and the famous 1,300-character figure appears nowhere in our data.

The sweet-spot claims keep coming, they just cannot settle on a number.
[AuthoredUp](https://authoredup.com/blog/linkedin-character-limit) (updated July 2026) says
posts of 1,301 to 2,500 characters earn "27% higher engagement". Other current guides say 1,200
to 1,800, or 1,300 to 1,900. When every study lands on a different ideal length, suspect the
method rather than your posts.

What we found: the same person's long posts (1,500 characters or more) earned about **14% more**
than their own short ones (under 500), in the same format. A small bump, and a fraction of the
gap the raw numbers first suggested, because most of that turned out to be long posts carrying
images. For text-only posts the picture is less settled: a coin flip in July, a small bump in
October, and too few people (153) to be sure either way.

If you want an anchor rather than a rule: a typical post in our sample runs to about **1,000
characters**. Our [full post-length analysis](https://www.flypost.io/learn/linkedin-post-length) walks through how this
one came apart.

### What is the best time to post on LinkedIn?

Start with what the advice industry itself publishes, because the disagreement is the story.
[Sprout Social](https://sproutsocial.com/insights/best-times-to-post-on-linkedin/) (updated March
2026\) says Tuesday, late morning to afternoon.
[Hootsuite](https://blog.hootsuite.com/best-time-to-post-on-linkedin/) (November 2025) says 4am
to 6am on Tuesdays and Wednesdays.
[Buffer](https://buffer.com/resources/best-time-to-post-on-linkedin/) (July 2026) says Wednesday
at 4pm. Each cites its own dataset of a million posts or more. Three enormous datasets, three
different best times: that is what noise looks like when it is sold as signal.

The one thing they agree on is to avoid weekends, and that is the one claim our data could
fair-test. For the same person, posting at the weekend instead of midweek changed engagement by
about **3%**. That is noise. Of the 1,211 creators who post on both, 54% did better at the
weekend: close to a coin flip.

What _is_ solid is where everyone crowds. **60% of US weekday posts go out between 8am and 2pm.**
Weekends are only about 1 in 10 of US and UK posts.

The tempting conclusion is to post into the empty room at the weekend. Our data says that doesn't
work either. The gap closes once you compare a creator against themselves. Post when it suits you.

> We are not publishing a best _hour_ to post. The hour-by-hour gaps in our data are the same size
> as the weekend effect that vanished under the fair test, so we expect they would vanish too. We
> would rather say nothing than publish a number we think we'd have to retract.

Our full guide to [the best time to post on LinkedIn](https://www.flypost.io/learn/best-time-to-post-on-linkedin) goes
through the day-by-day numbers, why the published timetables all disagree with each other, and what
to do with the effort you were about to spend on scheduling.

## How do you get more engagement on LinkedIn?

If you change one thing, make it the first item.

1. **Tell a story only you could tell.** Something you did, saw or got wrong, with a real detail
   in it. The strongest effect we've measured.
2. **Attach an image.** The most reliable single lift in the study. Export it at
   [the right LinkedIn image size](https://www.flypost.io/learn/linkedin-post-image-size) so it isn't cropped.
3. **Write the first line about yourself.** I, my or we, not "you should".
4. **Drop the hashtags.** One or two are harmless but pointless. Three or more cost you.
5. **Skip the poll and the "comment KEYWORD" bait.** The worst format we measured, and the one
   tactic LinkedIn turned against in 2026.
6. **Put the link in if the click is the point.** It costs about 13%. Often that's worth it.
7. **Stop engineering questions.** Not at the start, not at the end. Ask when you actually want an
   answer.
8. **Write to the length the idea needs.** Around 1,000 characters is typical, but there is no
   target to hit.
9. **Post when it suits you.** Then spend the time you saved on the post itself.
10. **Aim for three to four posts a week** if total reach is what you're after. Expect each
    individual post to earn less.
11. **Judge yourself against people your own size.** A typical 10,000-follower account gets about
    31 reactions a post, not the 139 a large account gets.

If you're choosing a tool to help with any of this, we compared
[11 Taplio alternatives on their real prices](https://www.flypost.io/compare/best-taplio-alternatives), our own included.

> **Put this into practice**
>
> Flypost turns the material your business already has (posts, transcripts, case studies) into
> LinkedIn drafts that follow what the data actually says works.
>
> [Try it free](https://app.flypost.io)

## How often should you post on LinkedIn?

**Post more often.** Each post will get fewer reactions, but your total for the week goes up
sharply, and the weekly total is the number that grows an audience.

**Posting frequency for creators with similar-sized audiences. Accounts under 10,000 followers.**

| Group | Reactions per post | Reactions per week |
| --- | --- | --- |
| Under 1.5/week | 31 | 12 |
| 1.5–4 per week | 16 | 39 |
| 4+ per week | 8 | 42 |

Each post earns about a quarter as much. The week earns over three times more.

_Source: Flypost · typical figures per creator, Oct 2025–Sep 2026_

Going from about once a week to four or more times a week cuts each post from 31 reactions to
about 8. It lifts the week from 12 to 42. You lose per post and win overall, by more than three
times. The same shape holds at every audience size.

So the trap is judging yourself on the wrong number. Per-post engagement drops when you post more,
and it feels like something has gone wrong. Nothing has.

> **Weaker evidence than the rest of this page.** A person only has one posting frequency, so we
> could not compare creators against themselves here. We compared creators with similar-sized
> audiences instead. The pattern is strong and consistent, but we cannot prove the posting caused it.

### Can you post twice in one day on LinkedIn?

Yes, though the two posts do eat into each other a little. This one _was_ fair-tested, by
comparing each creator's posts that followed a short gap against their own posts that followed a
long gap.

It runs in **both** directions. A post that follows another within a day earns about **10% fewer**
reactions. And the **earlier** post loses about **9%** when another one follows within two days.

> **1.8×**
>
> Even so, two posts close together earn roughly **1.8 times the total** of one post on its own.
> You lose about a fifth to the two competing, and still come out well ahead.
>
> _Flypost original research · each creator compared against their own posts · n=1,477 creators_

> **Two limits on that number.**
>
> **This is about _occasionally_ posting twice in a day, not switching to it permanently.** Our
> method compares people against their own posts, so anyone who _always_ double-posts had no
> baseline and was excluded. We don't know what happens if you make it a habit. Audience fatigue
> wouldn't show up in this test.
>
> **Three or more posts a day is untested.** We don't have enough data. Please don't extrapolate.

## Should you vary your LinkedIn post formats?

The advice: mix up your formats to keep the algorithm interested.
[Hootsuite](https://blog.hootsuite.com/linkedin-algorithm/) recommends posting "a combination of"
content types, and [AuthoredUp](https://authoredup.com/blog/linkedin-algorithm) says mixing
content types keeps followers engaged. Neither offers data for the switching itself.

**No support at all.** We compared each creator's posts that _changed_ format from their previous
post against those that _repeated_ it. Switching was about **5% worse**, across 2,000 creators
tested, with only 44% benefiting.

Don't force variety for its own sake. Find what works for you, usually images, and keep doing it.

## How many reactions is normal on LinkedIn?

The most common question we get isn't about tactics at all. It's whether your numbers are any good.

The typical B2B creator's post earns **about 36 reactions and 3 comments**.

**Reactions per post by follower count**

| Followers | Lower quarter | Median | Upper quarter | Typical comments |
| --- | --- | --- | --- | --- |
| 5k–10k | 12 | 26 | 49 | 2 |
| 10k–25k | 15 | 31 | 56 | 3 |
| 25k–50k | 21 | 44.5 | 80.5 | 5 |
| 50k–100k | 36 | 73.5 | 162.5 | 10 |
| 100k–500k | 58 | 139 | 270 | 16 |

The bands overlap: a top-quarter creator with 10,000 followers (56 reactions) beats a bottom-quarter creator with 50,000 (36).

_Source: Flypost · typical figures per creator, 5+ posts each, Oct 2025–Sep 2026_

Three things worth noticing.

**Comments are the scarce currency.** The typical creator under 25,000 followers gets between one
and three comments per post. If one of your posts gets ten, that is genuinely good, and it puts
all that "end with a question" advice in perspective.

**Your reach per follower falls as you grow.** Reactions and comments together come to roughly
**0.4% of followers** for accounts under 10,000, dropping to about **0.1%** above 100,000. A small
account works its audience around four times harder than a large one. Those figures are
approximate because follower counts were captured early in 2026 and have grown since.

**The spread inside every band is enormous.** That is what the shaded bars are really showing. The
gap between a weak and a strong creator at the same follower count is routinely five to ten times.
Your audience size sets a floor, not an outcome.

## Methodology

For the sceptics, and for anyone citing this.

**Who we looked at.** 2,500 English-speaking B2B creators, spread across region (US, UK/CA/AU, EU,
rest of world) and follower band (1,000–500,000), with country caps so no single market could
dominate. Individuals only, no company pages.

**What we collected.** Two sweeps of the same creators. The first, in July 2026, captured about
almost 130,000 posts covering July 2025 to July 2026, of which 86,000+ went into the original analysis.
In October 2026 we collected the newer posts of the 2,100+ creators still posting, bringing the
total to 180,000+ posts. The numbers on this page cover the latest 12 months, October 2025
to September 2026: **116,000+ posts from 2,400+ creators**. Reposts are excluded throughout, because
the engagement belongs to whoever wrote the original.

**Checking the re-run.** Before using the October numbers we rebuilt every test and ran it on the
July data first. Each one landed within a few percentage points of what we had published, so
the October figures use exactly the same method.

**What we measured.** Reactions and comments only. **We never measured impressions.** Nobody
outside LinkedIn can, and any study claiming otherwise is estimating. Nothing counts until a post
is at least 14 days old, because the numbers are still moving before that. We use typical figures
(medians) rather than averages throughout, so one viral post can't drag a result upward.

**How we tested.** Every cause-and-effect claim compares a creator against their own posts, with at
least three posts on each side (four for first lines). Creators who tied exactly are excluded from
the "who benefited" percentages rather than counted as losses. Sample sizes are stated with each
finding and vary because not every creator qualifies for every test.

**Stories and details.** Whether a post tells a personal story or contains a concrete detail was
judged by an AI model reading each post from April to September 2026 (83,185 posts), so those
three findings cover six months rather than twelve. The "comment KEYWORD" result compares April to
early July against mid-July to September, because it changed direction in between.

**Timing.** Post times come from LinkedIn's internal post IDs rather than the "3 months ago"
labels, which are unreliable, then converted to the local time of each author's country.
Author-local is a proxy for audience-local, which is a real limitation on any timing claim.

**What we're less sure about.** Follower counts date from early 2026, so the reach-per-follower
figures are mild over-estimates. The poll and carousel findings rest on small samples (47 and 224
creators), and so does "comment KEYWORD" (120 creators since July). Posting frequency is the one
finding we couldn't fair-test. The double-posting result covers people who _occasionally_ post
twice a day. Habitual double-posters are excluded by the method, and three or more posts a day is
untested. We also can't see comment threads, so anything involving replies or first-comment links
is outside what this data can answer. Several other tactics didn't produce a result we trusted,
and we left them out.

Spot a flaw? We would genuinely like to know. Tell us and we will correct it here.

## Frequently asked questions

### Did the LinkedIn algorithm change in 2026?

Not in the way people describe. Across the same 2,100+ creators, the typical post earned about 10% fewer reactions from June to September than in spring, a slow slide with no single week where it fell off a cliff. What did change sharply was engagement bait: posts asking people to comment a keyword went from doing better than the same person's other posts to about 24% worse.

### What actually works on LinkedIn?

Three things held up every time we checked. Telling a personal story earned about a third more reactions and worked for 3 in 4 people. Attaching an image earned about 35% more than the same person's text posts. Using I, my or we in your first line was worth about 19%.

### Do hashtags help on LinkedIn?

No. Comparing each creator against their own posts, one or two hashtags had no effect at all, and three or more cost roughly 6 to 8%. About a third of posts still use them.

### Does LinkedIn suppress posts with links?

Partly, and it is heavily overstated. Adding a link to a normal post cost about 13% of reactions, and 40% of creators actually did better with links. Posts that were mainly a link share did about 11% worse than text. It is a trade-off, not a ban.

### Should you put the link in the first comment instead?

We could not test this. Our data covers the posts themselves, not their comment threads, so we have no evidence either way, and we would rather say nothing than guess.

### Does ending your post with a question get more comments?

Barely. The typical question-ending post gained about half a comment, while giving up about 7% of its reactions. Ask a question when you want the answer, not as a tactic.

### What is the ideal LinkedIn post length?

There isn't one. Posts of 1,500 characters or more earned about 14% more than the same person's posts under 500, but there is no magic number in between, and the '1,300 characters is optimal' rule has no support in our data. A typical post runs to about 1,000 characters.

### What is the best time to post on LinkedIn?

For a given creator, posting on a weekend rather than a weekday changed engagement by about 3%, which is noise. 60% of US weekday posts go out between 8am and 2pm, but posting outside that window did not reliably help.

### How many reactions is normal on LinkedIn?

The typical B2B creator's post gets about 36 reactions and 3 comments. By follower band, the typical figure is 26 reactions at 5,000–10,000 followers, about 44 at 25,000–50,000 and 139 above 100,000.

### How often should you post on LinkedIn?

Post more. Each post gets fewer reactions, but your week gets far more. Under 10,000 followers, posting less than 1.5 times a week gave 31 reactions per post and 12 for the week; posting 4+ times a week gave about 8 per post but 42 for the week. This one is a pattern rather than proof, because we could not compare creators against themselves.

### Can you post twice in one day on LinkedIn?

Yes, and it still nets out ahead. A post following another within a day earns about 10% fewer reactions, and the earlier post loses around 9%, but two posts together earn roughly 1.8 times the total of one isolated post. This applies to occasionally posting twice a day; posting twice daily on a permanent basis was not tested.

---

Published by Flypost (https://www.flypost.io), the LinkedIn content studio. More guides: https://www.flypost.io/learn