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Dwell time is the signal LinkedIn's algorithm registers before a single like or comment. Here's why your first line is being scored — and what it costs you when it fails.
Most people think LinkedIn's algorithm works like a simple vote counter. More likes means more reach. More comments means more distribution. Post something good, people engage, the algorithm spreads it further.
That is partially true, but it skips a step. Before any like or comment is recorded, LinkedIn is already measuring something else: how long people pause on your post before scrolling past it.
Dwell time is the amount of time a person spends looking at a piece of content in their feed , even without interacting with it. LinkedIn's algorithm uses this as an early signal of quality. A post that causes people to pause, even briefly, is treated as more valuable than one that gets scrolled past instantly.
This matters because dwell time is registered before engagement. If your first line does not create enough of a pause to generate that signal, the algorithm de-prioritises the post before it ever gets a chance to earn likes or comments.
The default way most people open a LinkedIn post is with context. "Today I want to talk about..." or "I've been thinking about..." or "After ten years in this industry...". These openers tell the reader what is coming rather than making them want to know what is coming.
When you start with context, the reader does not need to stop. They already know roughly what the post is about. If they are interested, they will note it and move on. If they are not, they will scroll. Either way, the dwell time signal is weak.
A hook that creates curiosity or tension, a counterintuitive claim, an unresolved statement, a specific scenario with an unclear outcome, forces the reader to pause. They cannot assess the post without reading further. That pause is what the algorithm is looking for.
When SparkVox converts a voice note into a LinkedIn post, the first thing it does is restructure the opening. Your natural speech usually begins with framing: the background, the setup, the reason you are sharing this. The generation step moves that to the middle or removes it entirely, and leads instead with the sharpest version of your point.
This is not a trick. It is a structural decision based on what the algorithm measures. The insight in your voice note is genuinely interesting. The question is whether a reader encounters that insight in the first four words or the fortieth.
The bar for posting is not "do I have something worth saying?" It is "can I open with something worth stopping for?" Those are different questions, and most people only ask the first one.
If you are not posting because you do not think your ideas are strong enough, the issue is usually not the ideas. It is the structure. A strong observation buried inside a paragraph of setup will always underperform the same observation placed directly at the front. The idea that felt too ordinary to post often turns out to be the one that resonates, once it has been structured to stop the scroll rather than summarise itself.
Your most polished, nuanced writing may be your lowest-performing content. The algorithm rewards a different kind of clarity — and AI is calibrated for it by default.
One produces content that sounds like everyone else. The other produces content that sounds like you, faster. Here's why the distinction matters more than most people realise.
"I help X do Y through Z." The formula is so common it has become invisible. Here's why a templated bio now signals nothing, and what to do instead.
