> **The idea, in one sentence.** **Dwell time** — the time a user spends reading or watching your content before scrolling — is **the rising signal** on LinkedIn in 2026. Subtler than a like (one click), it tells the algorithm whether your content **actually holds** attention. LinkedIn confirms it on the engineering side, and industry studies make it the core of their 2026 read. The good news: you can benefit from it, both **posting** and **commenting**, with content that holds. Here's the mechanism and the levers — no invented numbers.

## Key takeaways

- **Dwell time = time spent on your content** before scrolling. It's a **quality** signal: what holds attention is judged better, hence distributed more.
- **LinkedIn confirms it officially.** Its engineering team published an **October 2024** paper explaining that dwell time has become a central ranking signal ([LinkedIn Engineering, 2024](https://www.linkedin.com/blog/engineering/feed/leveraging-dwell-time-to-improve-member-experiences-on-the-linkedin-feed)).
- **A quick like is a "noisy" signal.** Someone can like without reading; time spent is harder to fake — hence its growing value.
- **Many talk about a "Depth Score" in 2026**: an industry read of the same phenomenon (engagement depth) ([meet-LEA, 2026](https://meet-lea.com/en/blog/linkedin-dwell-time-hidden-metric)). *(third-party, dated)*
- **It matters on the comment side too.** A **substantial** comment makes readers stop (raising the host post's dwell time) — far more than a "great 👏". Our data shows length matters: 10+ words outweighs a like.
- **The levers are concrete**: strong hook, readable format (carousel, structured post), 15–40-word comments. *(see [LinkedIn algorithm 2026](/en/blog/algorithme-linkedin-2026))*

## 1. What dwell time actually is

**Dwell time** is how long a user **stays** on your content — reading a post, scrolling a carousel, watching a video — before moving to the next item.

It's different from a reaction. A like is a **binary click**: it happened or it didn't. Dwell time is a **continuous measure**: 1 second, 8 seconds, 40 seconds. And that nuance changes everything, because it lets LinkedIn tell apart content people **skim** from content people **actually consume**.

The intuition behind it: if people stop to read you, your content brings something. Conversely, a post scrolled in 2 seconds — even if it collects a few reflex likes — signals weak interest to the algorithm.

## 2. Why LinkedIn values this signal (and not just likes)

This isn't influencer rumor: **LinkedIn documented it**. In **October 2024**, its engineering team published *"Leveraging Dwell Time to Improve Member Experiences on the LinkedIn Feed,"* which explains why a quick like is a **noisier** signal than longer engagement time, and how dwell time is built into feed ranking ([LinkedIn Engineering, 2024](https://www.linkedin.com/blog/engineering/feed/leveraging-dwell-time-to-improve-member-experiences-on-the-linkedin-feed)).

The logic is sound from the platform's standpoint:

- **The like is manipulable and cheap.** People like out of politeness, habit, without reading. Alone, it's a poor judge of quality.
- **Time spent is harder to fake.** You can't pretend to read 40 seconds at scale — it's a **real** interest signal.
- **It feeds LinkedIn's goal**: keep people on content that holds them, raising session time.

This fits the algorithm's deep shift: it moved from a network logic (who you know) to an **interest** logic (what holds you). That transformation is detailed in [how the LinkedIn algorithm works in 2026](/en/blog/algorithme-linkedin-2026), where dwell time is among the early-engagement signals that decide amplification.

**An honesty note**: LinkedIn has never published an exact scale ("X seconds = Y reach"). The precise thresholds and the "Depth Score" label you read everywhere in 2026 are **industry reads** ([meet-LEA, 2026](https://meet-lea.com/en/blog/linkedin-dwell-time-hidden-metric)), not an official grid. What's **confirmed** is that dwell time is a central signal; the precise numbers are **inferred**.

## 3. How to benefit when you post

If the algorithm rewards time spent, your post-side goal becomes simple: **make people stay longer**. Here are the levers that work.

- **Nail the hook (the first two lines).** It decides between "read" and "scroll." A hook that creates tension or promises an answer makes people open the "…see more," and every open is dwell time gained (see [comment hook](/en/blog/accroche-commentaire-linkedin) for the same logic applied to comments).
- **Favor readable formats.** A carousel/document forces scrolling; a structured post (short sentences, line breaks, lists) reads effortlessly. Formats that hold beat a skimmed wall of text (see [post format that engages](/en/blog/format-post-linkedin-engagement) and [what makes a post go viral](/en/blog/post-viral-linkedin-statistiques)).
- **Give a reason to stay to the end.** A story, a numbered list, a final reveal: anything that creates an "open loop" the reader wants to close.
- **Avoid what drives people off.** An external link up top, an indigestible block, an unfulfilled promise: all immediate scroll triggers.

And remember: dwell time is measured mostly in the **first hour**, during the amplification test. Content that holds early passes the stage, then distributes — hence the value of being present at the right time (see [when to comment](/en/blog/quand-commenter-sur-linkedin)).

## 4. What about comments? (the underrated lever)

This is the angle few people make: **a good comment raises the host post's dwell time.** When a reader stops to read a relevant comment, scrolls the thread, thinks about a reply — they spend **more time** on that post. So you directly contribute to the signal that helps the post (and your visibility with it, since you borrow its audience).

Conversely, an empty comment ("great post 👏") stops no one: zero dwell time added, and zero benefit to you.

Our first-party data points the same way: a comment's **length** correlates with its performance. A **10+ word** comment clearly outweighs a like, and the optimal zone sits between **15 and 40 words** (LinkHub — see [comment length and impressions](/en/blog/longueur-commentaire-linkedin-impressions)). Too short, it reads like a skimmable reaction; too long, it dilutes and people drop off. The right length is the one that **makes people stop** without drowning them.

Concretely, a comment that maximizes dwell time brings an **angle** or a **micro-story**, asks a **question** that invites a reply (a thread = even more time spent), and stays readable. To write good ones fast, LinkHub's [personalized AI comments](/en/features/ia-commentaires-personnalises) propose a draft calibrated to the post and your tone — written in **~29s median** (n = 44,523), always validated by you.

## 5. Should you really chase dwell time?

Honest question. The answer: **no, not as a metric to grind** — as a **quality compass**.

You'll never see your "dwell time score": LinkedIn doesn't expose it. So chasing it directly makes no sense. What does make sense is using the concept as a **criterion**: before publishing a post or comment, ask yourself *"does this make people want to stop and read it?"*. If yes, you tick the right box; if it's skimmable in a second, rework it.

And above all, don't sacrifice authenticity for time spent. Content artificially lengthened to "inflate" dwell time backfires — people drop off, and the signal collapses. Dwell time isn't a hack; it's the **consequence** of content that deserves attention. Combine it with the two other major levers: **early engagement** (commenting early) and the **right host** (commenting where your [ICP](/en/blog/icp-commentaire-linkedin) is). All three together is the whole [2026 algorithm](/en/blog/algorithme-linkedin-2026) mechanism.

## FAQ

**What is dwell time on LinkedIn?**
It's the time a user spends reading or watching your content before scrolling. The algorithm uses it as a quality indicator: what holds attention is judged better and distributed more than content skimmed in 2 seconds.

**Is dwell time really an official signal?**
Yes for the signal's existence: LinkedIn's engineering team documented it in October 2024 ([LinkedIn Engineering, 2024](https://www.linkedin.com/blog/engineering/feed/leveraging-dwell-time-to-improve-member-experiences-on-the-linkedin-feed)). However, the precise thresholds ("X seconds = Y reach") and the term "Depth Score" are industry reads, not an official grid.

**How do I increase my posts' dwell time?**
Nail the hook to make people open the "see more," use readable formats (carousel, structured post), and create a reason to stay to the end. See [post format that engages](/en/blog/format-post-linkedin-engagement).

**Can a comment influence dwell time?**
Yes: a substantial comment makes readers stop and unfolds a thread, raising the time spent on the host post. That's why a 15–40-word comment outweighs a "great 👏" — see [comment length](/en/blog/longueur-commentaire-linkedin-impressions).

**Does dwell time replace likes and comments?**
No, it adds to them. The comment remains the strongest signal; dwell time refines the quality read by distinguishing truly-read content from merely-liked content. Both matter — see [the LinkedIn algorithm 2026](/en/blog/algorithme-linkedin-2026).

## Sources & methodology

- **LinkHub first-party data** — comment length correlated with performance (10+ words > like; optimal zone 15–40 words), measured drafting time (~29s median, n = 44,523). See [comment length and impressions](/en/blog/longueur-commentaire-linkedin-impressions), [LinkedIn algorithm 2026](/en/blog/algorithme-linkedin-2026).
- [LinkedIn Engineering — Leveraging Dwell Time (Oct 2024)](https://www.linkedin.com/blog/engineering/feed/leveraging-dwell-time-to-improve-member-experiences-on-the-linkedin-feed) · [meet-LEA — Dwell Time 2026](https://meet-lea.com/en/blog/linkedin-dwell-time-hidden-metric) · [van der Blom — Algorithm InSights 2025](https://www.linkedin.com/posts/richardvanderblom_chapter-1-algorithm-insights-report-2025-activity-7322514599126130688-Q895)
- Honesty note: dwell time's existence as a signal is confirmed by LinkedIn; the precise thresholds in seconds and the term "Depth Score" are industry estimates, flagged as inferred.
- Find all our studies on the [LinkHub blog](/en/blog).