The LinkedIn glossary: 30 terms every creator should know

The LinkedIn algorithm, dwell time, CFBR — you see these terms everywhere, but you rarely have a clean definition at hand. Here are 30 terms you need to know, grouped by theme, with pointers to dedicated articles for each.

In short

→ LinkedIn runs on its own vocabulary — a mix of native metrics, algorithmic signals, and community-invented tactics. → Dwell time and engagement velocity are the two most decisive algorithmic signals in 2026. → CFBR, comment-gate, and pods are distinct community tactics that are constantly confused with each other. → Some terms — broetry, stacking, hook — describe writing patterns with measurable effects on reach. → This glossary links to dedicated articles so you can go deeper on any concept.

Reach metrics: what you see in your stats

| Term | Quick definition | |---|---| | Impressions | Total number of times your post was displayed. A single profile can generate multiple impressions by revisiting the feed. | | Reach (unique members) | Number of distinct people who saw your post. Always lower than impressions. | | Engagement rate | (Reactions + comments + shares) / impressions × 100. The observed average sits between 1% and 3%. | | Saves | Saving a post to read later. A strong signal for the algorithm — and massively under-used. | | Profile views | Number of visits to your profile over 90 days. Indirectly tied to your visibility in the feed. | | SSI | Social Selling Index: a score from 0 to 100 assigned by LinkedIn based on your overall platform activity. |

To understand the exact difference between impressions and reach, the article impressions vs. unique members reached breaks down both metrics and what they actually tell you.

Algorithmic signals: what LinkedIn watches behind the scenes

| Term | Quick definition | |---|---| | Dwell time | Time spent looking at a post in the feed, without clicking or reacting. The #1 algorithmic signal according to our playbook. | | Engagement velocity | How fast your post accumulates reactions and comments after publishing. The faster it builds, the more the algorithm expands distribution. | | Relevance | The primary ranking criterion on LinkedIn: is this post useful for this specific person, right now? | | Distribution | The audience LinkedIn chooses to show your post to — expanded or restricted based on signals from the first few hours. |

Dwell time has a dedicated article covering the concrete patterns that maximize it.

Writing vocabulary: the LinkedIn creator's lexicon

→ Hook: the first 200 characters of your post, before the "... see more" cutoff. This is where dwell time is won or lost. Our study of 438,413 posts shows that 80% of viral posts pair a pattern interrupt with a precise number in the hook.

→ Broetry: a writing style where a line break follows almost every sentence or phrase. Scannable — sometimes hollow. The visual effect is real, but substance still has to follow.

→ Long-form: posts of 1,500+ characters. Correlated with +49% engagement in our playbook. Depth wins.

→ Stacking: layering multiple writing tactics in a single post (hook + data + narrative + CTA). Viral posts stack an average of 4 to 6 techniques.

→ CTA (Call to Action): a prompt at the end of a post — typically an open question designed to trigger comments.

→ Thought leadership: positioning yourself as a credible expert on a specific topic. Not a format — an editorial posture built over months.

Formats: content types on LinkedIn

| Term | What it is | |---|---| | Carousel | A multi-slide format (PDF or PowerPoint document). Median impressions 2.3× higher than text-only, according to our playbook. | | Native video | Video uploaded directly to LinkedIn — not an external link. Favored by the algorithm over YouTube links. | | Document | A carousel alias: a PDF file transformed into scrollable slides in the feed. | | Poll | A multiple-choice question. Strong for immediate engagement, but limited lasting reach. | | LinkedIn Newsletter | An article series with its own subscriber base. Distinct reach from the main feed. |

Community tactics: what they actually mean

→ CFBR (Commented For Better Reach): asking your network to comment on a post to boost its reach. A well-known tactic whose effectiveness depends on the speed and quality of comments. Dedicated article here.

→ Comment-gate: granting access to a resource (PDF, template, list) in exchange for a comment with a specific keyword. Delivery happens via automated DM — for example with LinkMagnet.

→ Comment pod: a private group (WhatsApp, Discord) where members engage on each other's posts within the first few minutes. Increasingly less effective as LinkedIn's quality filters get stronger.

→ LinkedIn ghostwriter: a writer who creates LinkedIn content for someone else, published under their name. Common practice among executives and founders.

→ Employee advocacy: a practice where a company's employees share or create content tied to the employer brand.

Profile and positioning: who you are on LinkedIn

→ Creator mode: a LinkedIn setting that enables open follows (no connection request needed) and highlights your niche hashtags on your profile.

→ Headline: the line of text under your name. The first thing anyone reads — before even seeing your post. It should say who you help and how, in under 10 words.

→ Topical authority: recognition from the algorithm that you're an expert on a given topic, built through consistent editorial focus over several months.

→ Connections vs. followers: connections are mutual (both parties accept). Followers subscribe to your content without a mutual connection. Creator mode opens follows to anyone.

→ Featured: a pinned section at the top of your profile to highlight a post, newsletter, link, or document.

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To comment on the right posts at the right moment — and ride the engagement wave while it's peaking — LinkHub identifies in real time which posts to prioritize.

To analyze your next post before you publish, the free LinkPost analyzer checks your hook, structure, and virality score across 33 criteria.

This glossary reflects common usage in the LinkedIn creator community in 2026 and findings from our playbook (observational study, 438,413 posts analyzed from 2020 to April 2026 — correlation does not imply causation).