Pinned posts on LinkedIn company pages: click-through data

Most pinned post CTR questions begin with the wrong comparison. The benchmark you are reaching for was built on feed posts, and a pinned post does not get feed traffic. Its impressions come from people visiting your Company Page. Same metric name, different denominator, different meaning.

LinkedIn company page pinned post click-through: what the data shows

Start with the absence. No public benchmark report publishes a click-through rate figure specific to pinned posts on LinkedIn Company Pages. Not one. Every LinkedIn CTR number in circulation, including the ones cited later in this guide, was measured on posts moving through the feed. So when a Company Page admin asks whether a pinned post's click-through rate is good, the first honest answer is that nobody has published the distribution that number belongs to. You are grading your measurement against a population it was never sampled from.

The closest applicable references are general ones. For organic posts carrying a link, a CTR in the 3%-5% band is treated as strong performance. Segmented by page size, Company Pages with up to 5,000 followers average 2.2%, while larger pages run from 3.5% to 8.6% depending on industry. Those figures are sound and worth knowing. They are also a measurement of something structurally different from what your pinned post is doing, and the difference is not a rounding error.

The pattern SocialNexis practitioners see most often in Company Page analytics is a pinned post whose impression count keeps climbing weeks after publication. It rises slowly and steadily, never in bursts, with none of the sharp decay curve a feed post shows. Admins read that line as sustained reach and conclude the pin is doing work. It is doing work, just not the work they think. That slow climb is a read on how many people are visiting your page, not on how the content is performing in the algorithm. Put it next to your page-visit chart for the same period and the two lines have the same shape.

That has a consequence most Company Page guidance skips entirely. A pinned post's impression count is a proxy metric for Company Page visit volume. Treat it as a traffic counter rather than a reach counter and the analytics start behaving: a pin that quietly gathered impressions over a quarter is telling you your page got visited roughly that many times with the post on screen. It is telling you very little about whether LinkedIn's distribution system liked the content, because after day one LinkedIn's distribution system is no longer involved.

So what is the right comparison? Your own page. The useful baseline is your Company Page's historic CTR on link posts, segmented by where the impressions came from rather than applied as one flat rate against a feed-post standard. Pull the link posts you published over the last few quarters. Note the CTR during their first day and the CTR they accumulated after it. You now have two different numbers from identical content, and the second number is the world a pinned post lives in permanently. That second number is your benchmark.

Expect pinned posts to sit below the 3%-5% strong-performance band as a matter of routine. That threshold describes link posts encountered in the feed by people who already follow the page, who opted into seeing the brand, and who are scrolling in a mode where tapping a link is a normal next action. A pinned post is encountered by someone who navigated to your Company Page on purpose, often for the first time, usually to answer a question about who you are and whether you are real. Those two audiences have very different click propensity on an outbound link, and the words on the post have nothing to do with it.

The failure this produces is predictable and expensive. A team sees a pinned post underperforming a published benchmark, concludes the creative is weak, and swaps it for something that converts worse. The original post was fine. The comparison was broken before anyone looked at it. Before you judge a pinned post, work out what share of its impressions arrived after its feed window closed, because that share is the portion of your measurement that no published benchmark in existence covers.

Pinned posts don't get pushed back into the feed

Pinning does not republish. LinkedIn moves a pinned post to the top of your Company Page's Posts section and stops there. It does not push the post back into followers' news feeds, does not restart algorithmic distribution, and does not give the content a second attempt at the people who missed it the first time. LinkedIn's own help documentation on pinning describes a change in page placement, nothing more. The feed event happened once, on the original publication date, and pinning does not repeat it.

This is the single most common misunderstanding we run into with Company Page admins, and it is understandable, because the word implies promotion. In practice pinning is closer to hanging a poster in the lobby. Everyone who walks in sees it. Nobody new walks in because of it.

Now add the timing, which makes the gap wider. Roughly 80% of the engagement a LinkedIn post will ever receive lands within the first 24 hours of publication. The feed window is that narrow. By the time most admins get around to pinning something, usually after it has proven itself over a few days, the distribution that made the post look worth pinning is already finished. You are pinning the receipt, not the transaction.

After that window closes, impressions on a pinned post come almost entirely from people who arrive at the Company Page directly. Someone clicked your company name from an employee's post. A candidate is checking you out before an interview. A prospect is doing diligence after a call. A competitor is keeping an eye on you. The audience composition flips from warm in-network followers to cold, discovery-intent visitors, and it flips completely rather than partially, because the feed contribution is frozen at whatever it earned on day one.

Which produces the failure mode we see more than any other on Company Pages. Call it the pinned-post CTR collapse: an admin takes the best-performing post of the quarter, pins it to extend the result, and watches the click-through rate slide week after week. Nothing about the post changed. Not the copy, not the image, not the link, not the destination page. The impression source changed, from high-intent followers who already chose to follow the brand to first-time page visitors who are still deciding whether they care. Same post, different readers, different rate.

The correct response is to stop treating the pinned post's CTR as a continuation of its feed CTR and start treating them as two separate measurements of two separate audiences. Snapshot the post's impressions, clicks and rate on the day you pin it. Everything accruing after that snapshot belongs to a different experiment with a different population. If your reporting tool shows one blended lifetime rate, that blend degrades every week the pin stays up, purely as arithmetic, and someone will eventually read the decline as a content problem.

There is a more encouraging read available too. A pinned post that holds a respectable click rate against cold page-visit traffic is doing something a feed post never has to do, which is converting strangers who have no relationship with the brand. That is harder work than converting followers. A rate that looks disappointing next to a feed benchmark can be excellent next to the only comparison that actually fits it, which is how the rest of your Company Page converts first-time visitors into clicks on anything at all.

Why does a pinned post on a LinkedIn company page show lower click-through than expected?

Three forces compress the number, and only one of them has anything to do with your content. The first is platform-level. Posts carrying an external link saw roughly a 30% decline in CTR on LinkedIn between 2023 and 2024, a drop consistent with the feed algorithm reducing distribution for outbound-link posts. A pinned post that sends people off-platform inherits that suppression from the moment it is first published, well before pinning enters the picture.

Format-level engagement data points the same direction. Across 1.3 million posts measured from January 2024 to December 2025, the overall LinkedIn engagement rate came in at 5.20%, an 8% year-over-year increase. Native document posts led every format at 7.00%, up 14% year over year. Link posts finished last at 3.25%. The format that carries the click you are trying to measure is the format LinkedIn distributes least willingly, and that is the starting position for everything a pinned link post does afterwards.

The second force is where impressions come from. LinkedIn generates impressions across four surfaces: the main feed, profile and page visits, search results, and notifications. Page analytics splits them further, and the Discovery panel separates in-network from out-of-network impressions. For a normal feed post that mix stays reasonably stable across its short life. For a pinned post the mix migrates, week after week, toward page visits and out-of-network, because the feed contribution is fixed while the page-visit contribution keeps accumulating.

The third force follows directly from the second. Out-of-network page visitors click outbound links at a lower rate than in-network feed followers. They came to your page to evaluate you, not to leave it. So as the impression pool migrates, CTR compresses even when the absolute number of clicks per week holds perfectly steady. The rate falls because the denominator grew. That is a completely different situation from clicks drying up, and the two are indistinguishable if the only thing on your dashboard is a percentage.

This is why we push practitioners toward absolute click volume when evaluating pinned content. Consider two posts: a pinned post running a 4% CTR on 500 monthly impressions, and a feed post running a 3% CTR on 10,000 impressions. The pinned post wins decisively on rate and loses decisively on delivered clicks, and neither fact is visible from the other one. Rate answers how efficiently an impression converted. Volume answers how much traffic arrived at the destination. Judging a pinned post on rate alone, against benchmarks built from posts with far larger denominators, produces a conclusion you cannot act on.

The instrumentation that fixes this is simple. Track clicks per week in absolute terms, track the rate beside it, and track page visits per week beside both. Then read the three together. If clicks hold and the rate falls, page traffic grew and nothing is wrong. If clicks fall and the rate holds, page traffic shrank and your problem is upstream of the post entirely. If clicks and rate both fall while page traffic is flat, that is the only combination where the creative is a reasonable suspect.

One more compressor worth naming, because it hides inside the same denominator: attention quality. A feed impression represents someone who scrolled past your post while browsing content. A page-visit impression on a pinned post represents someone who landed on a page and scrolled to the Posts section. Both count identically in the numbers LinkedIn shows you, and both are equally weighted in your CTR. They are not equally likely to produce a click, and no adjustment in the native analytics accounts for the difference.

The click count LinkedIn reports is not just link clicks

The click figure LinkedIn shows you is a composite. Its native CTR metric for Company Page posts counts clicks on the company name and the company logo in addition to clicks on the link inside the post. All of it lands in the same tally. The number you see is brand navigation plus destination traffic, presented in a column that reads like destination traffic, and the CTR calculated from it inherits every bit of that inflation.

On pinned posts the inflation runs disproportionately high, for a reason that follows from who is looking. The people seeing a pinned post skew heavily toward first-time page visitors. A first-time visitor's most natural click on a post is the company name, because the company is the thing they came to investigate. So the exact audience least likely to click your outbound link is the audience most likely to click your company name, and LinkedIn sums those two behaviors before computing your rate.

The result is a metric that can improve while your website traffic does not. We have watched pinned posts whose native CTR climbed month over month while referral sessions from LinkedIn stayed flat, because the additional clicks were people tapping the logo to reach a page they were already standing on. Report that number to anyone who cares about pipeline or traffic and you are reporting brand curiosity as demand.

The second distortion sits in the denominator. Impressions count every exposure, including repeat views by the same person. Members Reached is the deduplicated count of distinct individuals who saw the post at least once. On a live feed post in its first day the two track closely enough that the difference rarely matters. On a pinned post the gap opens steadily and keeps opening, because the same people return to your Company Page: your own employees, your recruiters, prospects coming back for a second look before a meeting. Each return trip adds another impression against the same member.

For pinned content, Members Reached is the more meaningful performance signal, and it is the one LinkedIn does not use when it calculates your CTR. Two pinned posts can show identical impressions and very different Members Reached, which means identical reported CTR and very different real audience exposure. If your page carries heavy repeat traffic, an active employee advocacy program being the usual cause, the divergence gets large enough to change your interpretation of the post outright.

Which leaves one clean answer. Put UTM parameters on the link before the post goes live and measure destination sessions in GA4 or whatever analytics platform you run. That measurement contains no company-name clicks, no logo clicks, and no ambiguity about repeat views, because you are counting arrivals rather than taps. Keep LinkedIn's native CTR for relative movement over time on the same post. Use the UTM data for anything a decision is going to be based on.

Say the obvious part plainly: the two numbers will not reconcile, and that is expected rather than a tracking defect. LinkedIn counts a click at the tap. Your analytics counts a session at page load. Abandoned loads, blocked scripts and in-app browser behavior all live in the space between them, before you even account for the brand clicks that have no destination at all. Chasing the gap closed is wasted effort. Pick one number as your reporting source of truth, which should be the UTM data, and treat the other as directional.

CTR benchmarks for LinkedIn company pages, by page size

The benchmark numbers, with the caveat attached rather than buried underneath. LinkedIn Company Pages with up to 5,000 followers average a 2.2% CTR across organic post types. Larger pages run from 3.5% to 8.6%. The spread inside that upper range is driven mostly by industry: Construction and Automotive pages reach 6.9%-7.3%, while SaaS and Healthcare pages average 3.6%-3.8%. For organic link posts specifically, 3%-5% is the band treated as strong performance.

The gradient by page size is easy to misread as a quality gradient, as though bigger pages simply post better. A large part of it is composition. Bigger pages have more followers seeing content in the feed, which means a larger share of their impressions come from a warm in-network audience, which is the audience that clicks. Smaller pages get a larger proportional share of their impressions from page visits and out-of-network discovery, which is the audience that does not. The rate difference is partly an audience-mix difference wearing a performance costume.

That matters for pinned posts because a pinned post is, by construction, running the small-page audience mix regardless of how many followers you have. A page with a hundred thousand followers still serves its pinned post almost entirely to page visitors after day one. So the appropriate benchmark for a pinned post on a large page is not the large-page number. It is closer to the profile of traffic that produces the small-page number, and even that comparison is loose.

There is a rule in LinkedIn's help documentation that almost nobody carries into their benchmarking: audience targeting settings are ignored on pinned posts. If you configured a post to reach a specific segment by seniority, function, geography or industry, pinning it discards that configuration. Every visitor to the Company Page sees it, targeted segment or not.

The consequence for comparison is direct. The impression pool for a pinned post includes exactly the people your targeting was built to exclude. Benchmark figures derived from targeted feed posts describe a filtered audience clicking through on content selected for them. A pinned post's rate describes an unfiltered audience clicking through on content selected for somebody else. The denominator is diluted by design, the ratio compresses in response, and nothing is wrong with the post.

How much dilution you get depends on how narrow the targeting was. A post aimed at a tight segment, senior operations roles in one region for instance, will show the largest gap between its targeted feed rate and its untargeted pinned rate, because the pinned audience includes candidates, students, vendors and competitors who were never in scope. Broad targeting produces a smaller gap. If your team runs narrow targeting as standard practice, assume the drop on pinning is structural before you read it as anything else.

Use the published benchmarks the way a physician uses a population average: to notice when a number is wildly out of range, not to grade an individual case. A small page whose pinned post sits near 2.2% is unremarkable and needs no intervention. A pinned post running far below the same page's own feed-post rate from the same quarter is worth a look, though the first thing to check is still the impression mix rather than the copy. The industry numbers deserve the same treatment. Construction and Automotive pages at 6.9%-7.3% against SaaS and Healthcare at 3.6%-3.8% is not a statement about creative talent in those sectors. It reflects what those audiences want from a link and how ready they are to leave the platform to get it.

How to track clicks on a pinned LinkedIn company page post

Before tracking anything, know what you are counting. LinkedIn registers an impression when a post is at least 50% visible on screen for 300 milliseconds or longer, or when someone clicks on it. That standard applies identically to pinned posts and feed posts. There is no separate tracking methodology for pinned content, no different viewability threshold, and no adjustment for the fact that a pinned post sits near the top of a page someone deliberately navigated to.

That last part carries more weight than it sounds like it does. A post pinned to the top of your Posts section clears the 50% visible for 300 milliseconds bar for essentially everyone who scrolls to that part of the page, whether or not they register a single word of it. A feed post has to survive a scroll to be counted. A pinned post gets counted on arrival. The pinned denominator therefore fills with a lower grade of attention than a feed impression represents, at the same nominal price of one impression each, and your CTR pays for the difference.

The data itself lives in Company Page admin under Analytics, then Posts. You get impressions, clicks and CTR per post, plus the Discovery panel separating in-network from out-of-network impressions across the four surfaces LinkedIn draws from: the main feed, profile and page visits, search, and notifications. For a pinned post, the out-of-network share is the number to watch. Its growth is the clearest native signal that the post has left feed distribution and moved fully into page-visit territory, which is the moment your feed-based comparisons stop being valid.

Add UTM parameters to the link before you publish, not after you pin. This is the only way to isolate true link CTR on a pinned post, because it is the only measurement that excludes company name and logo clicks from the numerator. Tag the source, the medium, and something in the campaign field that identifies the specific post, so that when you swap the pin in four months you can still separate the two posts' traffic in GA4 without guessing from landing page reports.

A caution about scheduling and automation tools, which we offer as a company that builds them. No scheduling tool, optimal-time engine or engagement trigger changes how a pinned post accrues impressions after its first 24 hours. The feed window is closed. There is nothing left for the optimization to act on, because the only remaining input is how many people visit your Company Page, and no posting tool influences that. Any vendor claim that scheduling improves a pinned post's ongoing reach is describing a mechanism that does not exist.

The common workaround makes measurement worse rather than better. If a tool reposts or reschedules the same content to give it another run at the feed, LinkedIn creates a new post record with its own impressions, clicks and CTR. The pinned original keeps its own numbers and gains nothing. The new instance starts from zero. Your click data for one piece of content now sits in several places, and no single record shows the total. We have seen teams conclude a message failed when the clicks were simply split across multiple post records that nobody had added together.

A workable monthly routine takes very little time. Record the pinned post's impressions, clicks, CTR and Members Reached from Page analytics. Record destination sessions from your UTM in GA4. Record total Company Page visits for the same window. Four numbers, one row per month. Within a quarter you will be able to tell, at a glance, whether a change in the rate came from the post, from your page traffic, or from the widening gap between impressions and the actual humans behind them.

From single pin to Featured section: what changes for click-through data

The feature you are measuring is being retired. LinkedIn is replacing the single-pin option with a Featured section that holds up to three posts, and as of mid-2025 multiple practitioners report the pin has already disappeared from some Company Pages with the Featured section in its place. If your page still offers the pin, treat it as temporary and plan the measurement change now rather than discovering it inside a quarterly report.

The measurement consequence is arithmetic rather than algorithmic. A single pinned post captured the entire featured placement, so every visitor who scrolled that far contributed one impression to one post. Three Featured posts displayed at the same time split that same page-visit traffic across three records. Each post's impression denominator shrinks relative to what a single pin captured, without your page traffic changing at all.

Which means comparing a Featured post's CTR against your historical single-pin CTR is a comparison across two different denominators, and it can break in either direction. Smaller denominators flatter the rate if clicks per post hold up. Splitting visitor attention across three posts tends to reduce clicks per post. The only way to read the comparison honestly is to hold page visit volume constant across both periods, and if your page traffic moved over that span, which it almost certainly did, that comparison is simply not available to you.

The practical fix is to stop evaluating Featured posts individually and start evaluating the section. Sum impressions and clicks across all three Featured posts, then compute a section-level rate against total page visits for the period. That aggregate is comparable to your old single-pin numbers in a way no individual post is, because it covers the same placement serving the same traffic. Keep the per-post numbers for deciding which of the three to replace, not for benchmarking against history.

Composition becomes a real decision for the first time. With one pin you chose your best post. With three slots you are choosing a set, and the three compete for the same visitor's attention inside the same scroll. Putting three outbound-link posts in the section means three link posts dividing one pool of click intent. A more sensible arrangement gives each slot a different job, with one post carrying the link you actually want clicked and the others doing work that does not require leaving the platform.

One tactic from feed practice carries over cleanly. For the initial publication phase, before a post gets featured, practitioners place the outbound link in the first comment rather than the post body to avoid the algorithmic suppression that external-link posts attract. The point is not the click itself. The point is the denominator: keeping the post out of the suppressed-link bucket preserves the size of its first-day impression pool, and that first day is the only feed distribution the post will ever receive before page-visit traffic becomes its entire audience.

Everything in this guide reduces to one habit. Ask where a pinned or Featured post's impressions came from before you ask whether its rate is good. That single question resolves the collapsing CTR, the inflated click count, the benchmark that does not fit, and the Featured section splitting your denominator three ways. SocialNexis builds tooling for Company Page publishing and analytics, and the most useful thing our work has taught us about this metric is that the number is rarely wrong. The comparison usually is.

Frequently asked questions

What is a good click-through rate for a LinkedIn Company Page post?

For organic link posts on LinkedIn Company Pages, 3% to 5% is considered strong performance. Small pages with under 5,000 followers average around 2.2%. Larger pages range from 3.5% to 8.6%, with industry variation: Construction and Automotive pages reach 6.9%-7.3%, while SaaS and Healthcare pages sit around 3.6%-3.8%. These are general post benchmarks, not pinned post benchmarks. Pinned posts draw impressions from page visitors rather than feed followers, so their CTR often falls below these thresholds without that indicating poor performance.

Does pinning a post on LinkedIn increase its views or reach?

No. Pinning a post does not push it back into followers' feeds or increase algorithmic distribution. The only effect of pinning is that the post appears at the top of your Company Page's Posts section for people who visit the page. Any impression growth on a pinned post after the first 24 hours reflects the volume of visitors coming to the page directly. Pinning improves discoverability for page visitors; it has no effect on feed reach.

Does a pinned post on a LinkedIn Company Page appear in followers' feeds?

No. Pinning a post on a LinkedIn Company Page does not re-inject it into followers' news feeds. Followers who missed the post during its initial 24-hour distribution window will not see it because it is pinned. Impressions after that window come from people who visit the page directly, not from algorithmic feed distribution. LinkedIn's own documentation confirms the post moves to the top of the page's Posts section, not back into the feed.

How do I track clicks on a pinned post on my LinkedIn Company Page?

Go to your LinkedIn Company Page admin and open Analytics > Posts to find the pinned post's impression, click, and CTR data. However, LinkedIn's native click count includes clicks on your company name and logo, not just link clicks. For accurate link-destination tracking, add UTM parameters to the URL in the post before publishing. Those parameters let you measure actual destination visits in GA4 or another analytics platform, separate from LinkedIn's composite click figure.

Why is my LinkedIn Company Page CTR so low?

Several factors compress LinkedIn Company Page CTR. External link posts saw roughly a 30% decline in CTR between 2023 and 2024, consistent with algorithmic suppression of posts with outbound links. For pinned posts, the impression pool shifts over time from warm feed followers (higher click intent) to cold page visitors (lower click intent), which drives CTR down structurally as the post ages. LinkedIn's CTR metric also inflates the click count by including company name and logo clicks alongside link clicks.

How is LinkedIn CTR calculated: is it clicks divided by impressions or clicks divided by reach?

LinkedIn calculates CTR as clicks divided by impressions, not divided by Members Reached (the reach figure). Impressions count all views of the post, including repeat views by the same person. For pinned posts that attract repeat visitors to the Company Page, impressions can significantly exceed Members Reached, making the CTR denominator larger and the resulting rate lower than a reach-based calculation would show. LinkedIn's Page analytics documentation defines this metric at the Page level.

Does LinkedIn count logo and company name clicks in the CTR metric?

Yes. LinkedIn's native CTR metric for Company Page posts counts clicks on the company name and logo in addition to link clicks. This inflates the reported figure beyond what reflects actual destination traffic. The effect is more pronounced on pinned posts, where first-time page visitors who click the company name out of curiosity are counted in the click tally alongside genuine link clicks. UTM parameters on the post link are the only way to isolate true link-destination traffic from this composite metric.

What happened to the pin post feature on LinkedIn Company Pages?

LinkedIn is replacing the single-pin feature with a Featured section that supports up to three posts. As of mid-2025, multiple practitioners report the pin feature has already been removed from some Company Pages, with the Featured section taking its place. For click-through tracking, this change means page-visit impressions are now distributed across up to three posts simultaneously, so each post's individual CTR denominator shrinks compared to when one pinned post captured all featured placement traffic.

What is the difference between impressions and Members Reached on a LinkedIn post?

Impressions count all views of a post, including multiple views by the same person. Members Reached is the deduplicated count of distinct individuals who viewed the post at least once. For active feed posts early in their distribution, these numbers are close. For pinned posts accumulating impressions slowly from repeat page visitors over weeks, the gap widens considerably. Members Reached is the more meaningful signal for pinned posts because it shows actual audience exposure without inflation from repeat views by the same visitors.

Should I use UTM parameters on links in LinkedIn Company Page pinned posts?

Yes. LinkedIn's native analytics does not distinguish between link clicks and brand clicks (company name and logo), so the reported CTR overstates actual link-destination traffic. Adding UTM parameters to the URL in your pinned post lets you isolate real destination visits in GA4 or another analytics platform. This is the only way to measure true link CTR on a pinned post rather than LinkedIn's composite click figure, which is especially unreliable for pinned posts that attract many first-time page visitors.

Sources and further reading

• Pin posts on your LinkedIn Page
• Post analytics for your content
• Content analytics for your LinkedIn Page