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What Is a Good CTR for LinkedIn Ads? 2026 Benchmarks by Format (and Why the Number You Have Read Is Inflated)

Quick Answer
A good CTR for LinkedIn ads in 2026 is 0.38% landing page CTR (landing page clicks ÷ impressions): the median B2B account gets 0.23% and the top 10% get 0.60%, across 944 accounts and 12 months of data to 7 September 2026. By format, single image runs 0.37% at the median, carousel 0.34%, thought leader ads 0.30% (0.46% in the dedicated 212-account study), event ads 0.25%, video 0.12% and document ads 0.06%. The widely quoted "0.44% to 0.65%" benchmark is total CTR, LinkedIn's default column, which counts reactions, comments, "see more" and profile clicks as clicks; on that measure the median is 0.96% and thought leader ads read 4.5%, of which 91% never reach a landing page. Compare like with like: under 0.4% landing page CTR is below average for any feed ad, 0.4 to 0.8% is average, over 0.8% is strong.

LinkedIn CTR benchmarks 2026: the table

Data: 944 B2B ad accounts, 12 months to 7 September 2026, LinkedIn Audience Network excluded, median account unless stated. Two columns throughout: landing page CTR (the number that means traffic) and total CTR (LinkedIn's default "CTR" column, which includes reactions, comments, shares, "see more" and profile clicks). Source: Kiin Labs LinkedIn Ads Benchmarks 2026. Last updated 21 September 2026; refreshed quarterly.

Overall

MetricBelow averageMedianGood (top 25%)Exceptional (top 10%)
Landing page CTR (any feed ad)under 0.15%0.23%0.38%0.60%
Total CTR (LinkedIn's default column)under 0.5%0.96%2.76%5.60%
Landing page CTR, thought leader ads (212-account study)under 0.3%0.46%0.67%0.99%
Kiin operating range, landing page CTRunder 0.4%0.4% to 0.8% averageover 0.8% strong

By ad format

FormatLanding page CTRTotal CTRGapAccounts
Single image0.37%0.65%1.8×774
Carousel0.34%0.43%1.3×106
Thought leader ad, single image0.30%4.49%15×408
Event ad0.25%0.70%2.8×75
Video0.12%0.41%3.4×504
Thought leader ad, video0.08%2.70%34×203
Document0.06%3.32%55× (opening the document is a click)154
Spotlight (dynamic)0.02%0.02%131
Text ad0.00% (about 2 clicks per 100,000)0.00%172

Lead generation objective campaigns are excluded from the format rows because the click opens a form on LinkedIn, not a landing page; the equivalent measure there is form open rate: 0.40% single image, 0.57% video, 0.40% carousel, 0.15% document.

By objective (all feed formats)

ObjectiveLanding page CTREngagement rateAccounts
Website conversions0.43%0.94%183
Website visits0.35%0.78%626
Engagement0.24%3.94%651
Brand awareness0.10%0.91%356
Video views0.04%0.53%231

The objective sets the ceiling: LinkedIn only shows a website visits ad to people it predicts will click through, so the same creative on brand awareness gets a third of the landing page click rate. Paired within the same account, engagement beats brand awareness on landing page click rate by 82%.

By region targeted

RegionLanding page CTRCPMAccounts
UK0.25%$49.69108
APAC0.23%$16.6039
US0.22%$84.21354
MENA / Africa0.21%$29.0665
Multi-region0.21%$39.57379
Europe, single country (FR, ES, IT, IE, PL…)0.18%$33.09114
ANZ0.16%$56.4131
Benelux0.15%$27.74117
Nordics0.13%$30.7279
DACH0.09%$38.94141

What moves it, paired inside one account

  • Retargeting vs cold: 0.24% vs 0.18% landing page CTR across the panel; on thought leader ads retargeting beats an uploaded list by 23% on landing page click rate.
  • Weekends: +9 to 10% landing page CTR vs weekdays in the same account, at 1 to 4% lower CPM.
  • Seniority: director-and-above-only targeting 0.24% vs 0.18% when managers and ICs are included.
  • Company size: SMB-only targeting 0.24%, enterprise-only 0.17%.
  • Frequency: one full pass of the audience costs 9% of engagement; landing page click rate falls faster on audiences under 10,000.

Every other cost metric that goes with these (CPM, cost per landing page click, cost per lead) is on the benchmarks page, and the sizes and limits for each format are in the ad specs reference. The rest of this article is about why the number most people quote is the wrong one.

Why the published 0.44% to 0.65% is wrong

Search this and you get a consistent answer from a dozen benchmark pages:

Figure commonly publishedWhat it is usually described as
0.44% – 0.65%Average LinkedIn Ads CTR
~0.52%Median CTR for Sponsored Content
0.50% – 0.65%B2B SaaS Sponsored Content range
Below 0.45%Usually read as "creative is not resonating"

Those numbers are real, in the sense that people genuinely measured something and reported it. The problem is what they measured.

Almost none of those pages state which click field the figure is based on. And LinkedIn has two.

If a benchmark is built on clicks — which is the default, and which counts likes, comments, shares and profile clicks — then it is not a click-through rate at all. It is an engagement rate wearing a CTR label. Compare your honest landing-page number against it and you will conclude your account is failing when it is performing normally.

⚠️ The benchmark trap
Team switches to correct measurement. LP CTR reads 0.22%. They compare against the 0.52% "industry median", panic, and rebuild creative that was working fine. Nothing was wrong with the ads. They changed what they were counting and compared the new number to an old one measuring something else.

So what is actually good? On LP CTR — landing page clicks over impressions — a healthy B2B feed campaign generally sits in the 0.15%–0.35% range, with thought leader ads often lower because so much of the interaction is social rather than navigational. Single image ads to a tight, well-matched audience can run higher.

But the honest answer to "what is a good CTR" is a question: which clicks are you counting? Until that is settled, the number is not comparable to anything. The rest of this guide explains why, what it does to your other metrics, and how to fix your reporting.

The Field That Breaks Everything

LinkedIn's Marketing API returns a field called clicks. Here is what it counts:

  • Clicks through to your landing page
  • Likes
  • Comments
  • Shares
  • Clicks on the poster's profile
  • Clicks on the company page
  • Clicks to expand "see more" on the post text

One of those is traffic. The other six are social engagement.

There is a separate field, landingPageClicks, which counts only the first one. It is the field you want, and it is not what Campaign Manager shows you by default. It is not what most dashboards pull. It is not what most agencies report.

This is not a secret or a bug. It is documented. It is just that almost nobody reads the field definitions, and the default is wrong in a direction that flatters everyone involved.

⚠️ Nobody is incentivised to fix this
An inflated CTR makes the platform look effective, the agency look competent and the in-house marketer look successful. The number is wrong in the one direction where nobody in the chain has a reason to question it. That is exactly why it has survived this long.

What It Does to Your Numbers

Take a campaign with £5,000 spend and 250,000 impressions. It generated 2,500 total clicks, of which 500 were actual landing page visits — a 5× ratio, which is unremarkable for a thought leader ad.

MetricHow it usually gets reportedWhat is actually trueDistortion
CTR1.00%0.20% LP CTR5× overstated
CPC£2.00£10.00 LP CPC5× understated
Cost per 1,000 visits£2,000£10,0005× understated
Implied LP conversion needed for £200 CPL20%4%Wildly different job

That last row is the one that matters. If you believe you are buying clicks at £2, you plan for a landing page converting at 20% and wonder why your CPL is four times target. If you know you are buying visits at £10, you plan properly — and you probably rebuild the landing page before you touch the campaign.

The error does not just misreport the past. It sends you to fix the wrong thing.

Why Thought Leader Ads Suffer Most

The gap scales with how social the format is.

A single image ad from a company page gets modest engagement, so total clicks and landing page clicks stay reasonably close — often 1.5–2×. A thought leader ad from a personal profile is designed to be engaged with. Likes, comments, profile clicks, "see more" expansions. That is the entire point of the format. So the ratio widens, routinely to 5× and sometimes to 10×.

Which produces the single most expensive mistake we see in account audits:

💡 The comparison that kills good campaigns
A team compares thought leader ads against single image ads using total-click CPC. The TL ads look cheap — lots of "clicks", low cost each. Budget shifts toward them with no landing page strategy behind it, and pipeline does not move. Or the reverse: they compare on landing page conversion and the TL ads look useless, so they get switched off. Both conclusions come from comparing two formats on a metric that means something different for each.

Compare formats on LP CPC and the picture is stable, because you are counting the same event in both cases: a human arriving on your site.

Why AI Makes This Worse, Not Better

Here is the part that is new in 2026.

There are now at least eight ways to connect a LinkedIn ad account to Claude or ChatGPT — MCP servers and connectors from data platforms, reporting tools and agencies. We compare them in the LinkedIn Ads MCP guide. Most of them pass LinkedIn's fields straight through. If the server hands the model a field labelled clicks, the model reports clicks. It has no way to know the label is doing something dishonest.

A spreadsheet containing a bad number looks like a spreadsheet containing a number. You might squint at it. An assistant containing a bad number produces this:

"Your thought leader ads are performing strongly, with a 1.0% CTR — roughly double the LinkedIn B2B average — at an efficient £2.00 CPC. I'd recommend shifting additional budget here."

Fluent. Structured. Reasonable-sounding. Completely wrong, and now carrying a recommendation attached to real money.

The failure mode is not that the model hallucinated. It did the arithmetic correctly on the data it was given. Bad data plus fluent writing is worse than bad data alone, because fluency suppresses the instinct to check.

⚠️ The question to ask any AI reporting tool
"Does this distinguish landing page clicks from total clicks?" If the answer is no, or the vendor does not understand the question, the tool will confidently misreport every feed campaign you run. This is a data-layer problem. No amount of model quality fixes it.

The Other Three Metrics That Lie

Clicks is the worst offender, but it is not alone.

Lead gen form opens are not leads. The API returns oneClickLeadFormOpens and oneClickLeads. The first is someone tapping the ad and seeing a pre-filled form. The second is a submission. Report opens as leads and your CPL can look several times better than it is. Only submissions count.

Video views are not attention. LinkedIn counts a view at two seconds, which on autoplay means "scrolled past slowly". Track 25%, 50% and 75% completion instead. A campaign with 100,000 "views" and 400 quarter-completions has an audience of 400.

Conversation ad clicks are close to meaningless. The format lives in the messaging inbox. What matters is opens and open rate, then click-to-open. Judging a conversation ad on raw clicks is measuring the wrong stage of the interaction entirely.

The pattern in all four: LinkedIn's default metric measures activity on LinkedIn. Your business cares about activity that leaves LinkedIn. Those are not the same thing, and the platform has no particular reason to make the distinction obvious.

How to Fix Your Reporting

1. Rebuild your reports on landing page clicks. LP CTR and LP CPC become the primary numbers for every feed format. Keep total CTR if you like, labelled clearly as engagement, and never let it sit in the same column as a traffic metric.

2. Never label anything "CTR" when it is not landing page clicks over impressions. If it is total clicks over impressions, it is "engagement rate". Naming discipline is most of the fix.

3. Request fields explicitly if you use the API. The adAnalytics endpoint returns only impressions and clicks unless you name every other field in the fields parameter. Plenty of dashboards were built on two metrics because nobody realised the rest were opt-in.

4. Re-baseline before you panic. Your LP CTR will look terrible next to the CTR you have been reporting. It is not worse performance, it is the first honest measurement. Benchmark against LP CTR figures, not against a mixed number.

5. Ask your AI assistant for the right field by name. "Landing page clicks", not "clicks". Then ask which tool it called and what date range it used. A good session is auditable.

"But Engagement Has Value"

It does. This is the fair objection and it deserves a straight answer.

Engagement on a thought leader ad is genuinely valuable. It is a trust signal, it drives reach, and the people who like and comment are often the ones who later convert. Engagement data is also how you build the warm outbound lists that make LinkedIn worth running at all.

The argument is not that engagement is worthless. It is that engagement and traffic are two different things and must be counted separately. Blending them into one number destroys both. You cannot optimise engagement if it is hidden inside a click count, and you cannot forecast pipeline from traffic if that traffic is inflated fivefold by likes.

Measure both. Report both. Never add them together and call the total "clicks".

How to report it — the short answer

How to report LinkedIn click-through rate?

Report landing page click-through rate — landingPageClicks ÷ impressions — not the CTR column Campaign Manager shows by default, which counts reactions, "see more", profile visits and comment clicks as clicks. In Campaign Manager, add the "Clicks to Landing Page" column (Columns → Customise) and compute the rate from that; in the API use the landingPageClicks field. The benchmarks to report against: 0.23% median, 0.38% good, 0.60% exceptional landing page CTR across 944 accounts; 0.46% median, 0.67% good, 0.99% exceptional on thought leader ads (212 accounts); under 0.4% is below average for any feed format. Show total CTR alongside it only as an engagement figure — on thought leader ads 91% of total clicks never reach a landing page.

Frequently Asked Questions

What is the difference between clicks and landing page clicks on LinkedIn Ads?+
LinkedIn's clicks field counts every interaction with the ad: likes, comments, shares, clicks on the poster's profile, clicks on the company page, and expansions of the post text, as well as actual visits to your landing page. The landingPageClicks field counts only visits to your landing page. On thought leader ads the gap between the two is routinely 3 to 10 times, because that format is designed to be engaged with.
What is a good LinkedIn Ads CTR?+
A good CTR for LinkedIn ads is 0.38% landing page CTR (landing page clicks divided by impressions); the median B2B account gets 0.23% and the top 10% get 0.60% across 944 accounts in 2026. On thought leader ads the median is 0.46% and good is 0.67%. The widely quoted 0.44% to 0.65% figure is total CTR, which includes reactions, comments and profile clicks, so it is not comparable with a landing page number. Always confirm which click field a benchmark is built on before comparing against it.
How do I calculate the real cost per click on LinkedIn?+
Divide spend by landing page clicks, not by total clicks. This is LP CPC, the true cost of getting one person onto your site. Calculating CPC as spend divided by all clicks understates the real cost by the same multiple as the gap between the two click figures, which on thought leader ads is commonly 3 to 10 times.
Does this affect AI reporting tools and MCP connectors?+
Yes, and it matters more there. Most connectors pass LinkedIn's fields straight through, so if the server hands the model a field labelled clicks, the assistant reports it as clicks and builds analysis on top of it. The model is not hallucinating; it is doing correct arithmetic on mislabelled data. The result is a confident, well-written recommendation based on a number that is wrong by several multiples. Ask any AI reporting tool whether it distinguishes landing page clicks from total clicks.
Are lead gen form opens the same as leads?+
No. The API returns oneClickLeadFormOpens for someone tapping the ad and seeing the pre-filled form, and oneClickLeads for an actual submission. Only submissions are leads. Reporting opens as leads can make cost per lead look several times better than it really is.
Why does my LP CTR look so much worse than my old CTR?+
Because it is the first honest measurement, not a drop in performance. Nothing about the campaign changed; you simply stopped counting likes and profile clicks as website traffic. Re-baseline your targets against LP CTR figures rather than comparing a clean number to an inflated one.
Doesn't engagement matter on thought leader ads?+
It matters a great deal. Engagement drives reach, signals trust, and is how you build warm outbound lists from the people interacting with your ads. The problem is not measuring engagement, it is blending engagement and traffic into a single number. Doing that makes both unusable: you cannot optimise engagement when it is hidden inside a click count, and you cannot forecast pipeline from traffic that is inflated by likes. Measure and report both, separately.
Why does the LinkedIn API only return impressions and clicks?+
The adAnalytics endpoint returns only impressions and clicks unless you explicitly name every other field you want in the fields parameter. This catches a lot of people: dashboards get built on two metrics because the rest are opt-in and nothing warns you they are missing. If your reporting lacks landing page clicks, this is usually why.

Want to know what your real numbers are?

We audit LinkedIn Ads accounts on landing page clicks, not vanity clicks. Book a call and we'll show you the gap on your own account.

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