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LinkedIn Details New Creator Insights: a Post Performance Table, Saves and Sends, Follower Sources, and In/Out-of-Network Reach

LinkedIn walked creators through the analytics it rolled into the updated profile insights dashboard — a single table that compares every post's impressions, views, and watch time, plus new Saves and Sends, follower-source, and connection-vs-non-connection reach metrics. It measures better; it still does not make or publish the content.

2026-11-03 · by Moe Ameen

What happened

On November 3, 2026, LinkedIn shared the detail behind its latest creator analytics, and the walkthrough came from Sam Corrao Clannon, LinkedIn's Director of Product, Content, in a LinkedIn article explaining how the new elements work. It follows the updated profile insights dashboard LinkedIn announced the month before, which added more data on content performance and monetization opportunities as part of a broader creator-tools update.

The centerpiece is a Post Performance Table. Instead of opening each post's analytics one at a time, creators get a single listing that shows every post's key metrics side by side — impressions, views, and watch time in one view. Corrao Clannon said the table makes it easier to compare key metrics "without needing to open the analytics for each one of your posts individually."

Three more metrics round out the set. A followers-from-a-post view shows which specific members followed after seeing a given post, with their profiles visible in the expanded display. Saves and Sends counts how many people bookmarked a post or sent it to someone directly — two of the strongest quiet signals that a post actually landed, now surfaced instead of hidden. And an in-network versus out-of-network breakdown separates the views that came from your existing connections from the ones that came from people outside your network, which is the clearest read on whether a post is deepening your current audience or reaching new people.

LinkedIn framed this as a step, not a finish line: it says it will watch how creators use the new metrics before deciding what to add next, and it noted it is also developing new creator monetization options to drive more feed engagement. The detail here came through LinkedIn's own creator communication and trade coverage rather than a formal help-center spec, so confirm exactly which views are live on your account, since analytics features still roll out unevenly by region and account type.

Why it matters for creators

  • The in/out-of-network split is the one metric that tells you what to do next. A post that overindexes in-network is validation; a post that pulled out-of-network views is reach you can repeat. That distinction is how you choose which angles to make more of.
  • Saves and Sends measure intent, not vanity. A like is cheap; a save means "I want this later" and a send means "this person needs to see it." Those are the posts worth turning into a carousel, a short, or a newsletter — the data now points at them.
  • Better measurement does not make more posts. The Post Performance Table tells you which post won; it does not produce the next ten, caption them, or publish them. The analysis got sharper; the production workload is unchanged.
  • Watch time in the table confirms what LinkedIn already signaled: video is being weighted, and a metric you can now see per post is a metric the feed is optimizing for. Thin, static posts have one fewer place to hide.
  • It is still one platform. These insights describe LinkedIn performance only — they tell you nothing about how the same idea did on Reels, Shorts, or in an inbox, which is where a cross-platform creator actually lives.

How to act on this with Kompozy

This update makes LinkedIn a sharper measuring instrument, and a measuring instrument is only worth as much as what you do with the reading. The most actionable signal is the in-network-versus-out-of-network split: once the Post Performance Table shows you which angle broke past your own connections, you have a proven winner — and the slow part is turning that one winner into a week of content. [Kompozy](/) is built for exactly that handoff. Take the topic that pulled out-of-network reach and generate the whole set from one source: a captioned [Persona Short](/glossary/persona-shorts) or [Clipped Shorts](/glossary/clipped-short) for the muted feed, a brand-exact [HyperFrames](/glossary/hyperframes) carousel, quote graphics, per-platform text, a blog post, and a newsletter — every piece held to one [Persona Brief](/glossary/persona-brief) voice so the account that just earned new followers keeps sounding like itself.

The Saves-and-Sends signal maps just as cleanly to an action. A post people bookmark or forward is proof the idea has legs beyond the glance — it is a blueprint for a longer explainer, a series, or a lead-magnet newsletter. Feed that topic into Kompozy and it produces those formats in one pass, then [Autopilot](/glossary/autopilot) schedules and publishes the set across the eight social platforms plus blog and email, behind a per-post review gate — so the proof you found inside LinkedIn's analytics becomes reach *outside* LinkedIn, where the same idea almost always has more room to run. LinkedIn tells you what worked; Kompozy turns "what worked" into what ships next, everywhere. To go deeper on reaching past your network, see our guidance on [optimizing content for LinkedIn's AI visibility](/news/linkedin-ai-visibility-content-guidance).

Quick takeaways

  • On November 3, 2026, LinkedIn detailed new creator analytics, walked through by Director of Product, Content Sam Corrao Clannon, following an updated profile insights dashboard announced the prior month.
  • A new Post Performance Table compares every post's impressions, views, and watch time in one listing — no need to open each post's analytics individually.
  • New metrics: followers gained from a specific post (with profiles), Saves and Sends counts, and an in-network vs out-of-network reach breakdown.
  • LinkedIn says it will watch how creators use the metrics before deciding next steps, and that it is also developing new creator monetization options.
  • These are measurement tools, scoped to LinkedIn only — they analyze performance; they do not generate content or publish it, and they say nothing about how the same idea does on other platforms.

Frequently asked questions

What new creator analytics did LinkedIn add?

On November 3, 2026, LinkedIn detailed a set of analytics inside its updated profile insights dashboard: a Post Performance Table that shows every post's impressions, views, and watch time in one listing; a view of which members followed you from a specific post; Saves and Sends counts; and an in-network versus out-of-network reach breakdown. The walkthrough came from Sam Corrao Clannon, LinkedIn's Director of Product, Content.

What is the LinkedIn Post Performance Table?

It is a single listing that puts the key metrics for all your posts side by side — impressions, views, and watch time in one view — so you can compare posts without opening each one's analytics individually. LinkedIn positioned it as the fastest way to see which posts performed best at a glance.

What do the Saves, Sends, and in/out-of-network metrics tell creators?

Saves and Sends count how many people bookmarked a post or forwarded it to someone — strong signals of intent beyond a like. The in-network versus out-of-network split separates views from your existing connections from views by people outside your network, which shows whether a post is deepening your current audience or reaching new people. Together they point at which posts are worth turning into more content.

Do LinkedIn's new analytics help me publish content on other platforms?

No. They measure LinkedIn performance only — they do not generate content, and they say nothing about how the same idea did on Reels, Shorts, or in an inbox. To act on a winning post, you still need a layer that turns it into cross-platform content: Kompozy takes a topic that performed and generates a captioned short, a carousel, text, a blog, and a newsletter from one source, then schedules and publishes them across platforms.

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