LinkedIn ads benchmarks: CPC, CPL and CTR by objective, from published data

LinkedIn ads benchmarks for business-to-business (B2B) advertisers put the typical cost per lead (CPL) at $376, the median in Metadata.io's 2025 data from 138 advertisers. The spend-weighted figure of $202 sits at the 26th percentile. That spend-weighted data also shows a $9.39 cost per click (CPC) and a 0.67% click-through rate (CTR). Compare your numbers against the distribution that matches your format and audience.

What are the LinkedIn ads benchmarks for B2B?

Published LinkedIn benchmarks for business-to-business (B2B) advertisers disagree by a wide margin. Most of the gap comes from how each publisher aggregates its data, so read the basis column before the numbers.

Cost per lead ran from $109 at the 10th percentile to $1,340 at the 90th, with the median advertiser at $376.

LinkedIn cost per lead by advertiser percentile, 2025

Item	Value
p10	109 USD per lead
p25	196 USD per lead
Median	376 USD per lead
p75	658 USD per lead
p90	1340 USD per lead

Source: metadata.io, LinkedIn Ads Cost for B2B, 2026

The table uses CPC, cost per thousand impressions (CPM), CTR and CPL.

Why the spend-weighted figure reads low

A spend-weighted average lets large, efficient accounts pull the number down. Metadata.io reports that the weighted $202 sits at the 26th percentile, while the median advertiser pays $376. Use the median, not the weighted figure, as the typical advertiser's cost.

Agency client data reflects that agency's targeting and offers, so treat it as one operator's results, not a market sample.

The Stackmatix rows are ranges, not measured averages, and the lead gen form CPL band sits below both measured sets. In our reading it works as a planning band, not a yardstick for judging a live campaign.

Placing your own number

Worked example: a team paying $300 per lead sits above the 25th percentile ($196) and below the median ($376). Against the weighted $202 that team looks behind. Against the distribution it is better than the typical advertiser.

CPL only tells part of the story. Carry the lead through to opportunity and closed revenue with funnel conversion benchmarks before calling a channel efficient.

What is a good CPC on LinkedIn ads, and why does it cost more than other channels?

A good LinkedIn CPC depends on who you target and which format you buy. The published ranges differ by a factor of several from one audience to the next, so a single target number is of little use. Set yours against the row that matches your audience.

Message Ads are priced per send, not per click. Keep that row out of any CPC average.

Why the click costs more

Three variables move the price: audience specificity, industry vertical and geographic targeting. Stackmatix gives one example: a campaign aimed at chief marketing officers at enterprise SaaS companies in North America will pay 2-3x what a global campaign aimed at marketing managers in every industry pays. It also reports that LinkedIn's per-click premium has grown roughly 8-12% year-over-year since 2024.

In our reading, category competition adds to that. GrowthSpree's 2026 figures, as reported by Aimers, put SaaS CPC at $8-15 against a $5.58 LinkedIn average, because many SaaS vendors bid for the same technical buyers. Contract value sets what you can pay. A $3 CPC can be normal for a low-priced self-serve product and an unrealistic benchmark for a platform with a $180,000 annual contract value.

Compare cost per thousand impressions within a channel type

Next to Meta, LinkedIn looks expensive: Facebook ran a $1.95 CPC and a $15.50 cost per thousand impressions (CPM) in Metadata's 2025 data. Google Ads looks worse still, at a $617.91 CPM. That gap comes from arithmetic. CPM equals CPC times CTR times 1,000.

Metadata's point is that a search impression and a feed impression are not the same unit. Its rule: compare CPM within a channel type, and compare cost per lead across them.

A check you can run

1. Find the table row that matches your audience's seniority, vertical and region.
2. Divide your CPC by the top of that row's range. A result above 1.0 means you pay more than the published band.
3. Before you cut spend, calculate CPC divided by the click-to-lead rate. In our reading, a high CPC that converts well can still land inside the cost-per-lead band from the previous section.
4. Run the outcome through the CAC payback benchmarks, not through click price alone.

What is a good CTR for LinkedIn ads?

Metadata puts a good B2B paid social CTR at roughly 0.65% to 0.80%. Its 2025 medians for the other feeds were 0.79% on Facebook and 0.65% on Instagram. The earlier LinkedIn median sits inside that band.

CTR moves by quarter, not only by creative

HockeyStack's sample covered 70+ B2B SaaS companies and $28M in ad spend over three years. In its quarterly table, CTR ran at 0.82% in Q1 and 0.96% in Q3, and CPC rose from $10.48 to $15.72 over the same two quarters. The report found that CTR and CPC "varied dramatically by quarter" and that more spend did not reliably lift either one.

The practical step: compare a campaign's CTR against its own result in the same quarter of the prior year before you call it a creative problem. In our reading, a dip from Q3 to Q4 can be the calendar.

Why CTR is a weak scorecard

CTR measures interest in the ad. It does not measure what the click is worth. Metadata calls CTR close to useless as a cross-channel scorecard and suggests judging a channel on cost per lead and creative on CTR within its own channel.

CTR does feed the cost math, which is why it still belongs on the dashboard. A worked example with an illustrative $70 CPM:

• At 0.5% CTR: $70 ÷ 5 = $14.00 per click
• At 0.8% CTR: $70 ÷ 8 = $8.75 per click

Same audience, same CPM, and the click costs 37.5% less. That is the case for testing creative on CTR. Whether those cheaper clicks become a marketing qualified lead (MQL) is a separate question. HockeyStack's MQL definition left out lead-gen form submissions as lower intent, so a high-CTR form campaign can look strong on clicks and thin on pipeline. Track the next stage with our funnel conversion benchmarks.

What does a LinkedIn lead cost by ad format?

In our reading, format changes the price of a lead more than most bid changes do. In Metadata's 2025 data, drawn from 138 B2B advertisers running LinkedIn, document ads came in at $142 per lead, against $200 for image and $265 for video. Conversation ads cost $362 per lead, the highest of the four formats.

Cost per lead ran from $142 for document ads to $362 for conversation ads across Metadata's 2025 LinkedIn advertisers.

LinkedIn cost per lead by ad format, 2025

Item	Value
Document	142 USD per lead
Image	200 USD per lead
Video	265 USD per lead
Conversation	362 USD per lead

Source: Metadata, LinkedIn Ads Cost for B2B, 2026

Document ads also converted at 11.9%, which the source puts at roughly double the channel average. In our reading, a document ad's lead is cheaper because the click and the form sit inside one content request. A buyer who opens a guide has already shown the intent the form asks for.

Lead Gen Forms against landing pages

The form choice is the second lever. A LinkedIn lead-gen form produced a lead for $193, while the same click sent to a landing page cost $346, 79% more. That comparison covered 97 form advertisers and 65 landing-page advertisers.

Cheaper form leads are not automatically cheaper pipeline. Earlier we noted that one benchmark kept form leads out of its qualified-lead count. Before you move budget, score form leads and landing-page leads separately with your lead scoring model and compare cost per sales-qualified lead, not cost per lead.

The spread an average hides

A single average misleads here. Metadata's spend-weighted $202 sits at the 26th percentile, and the advertiser in the middle pays $376. The source attributes the gap to a handful of very efficient large spenders pulling the weighted figure down.

Conversion spreads the same way. The median advertiser converted 4.0% of lead-generation clicks, with the 25th percentile at 2.0% and the 75th at 7.5%.

Worked example: what the spread means for a budget

Take a monthly LinkedIn budget of $20,000.

1. At the median CPL of $376, that buys about 53 leads ($20,000 ÷ $376).
2. At the p25 CPL of $196, the same spend buys about 102 leads.
3. If your plan assumed the weighted $202, you budgeted for roughly 99 leads and will likely land near half that.

We think the median is the safer planning number for most teams, with p25 as the target once format and form choices are tuned. Feed the lead count into the reverse funnel calculator to see what it implies for pipeline.

What is a good conversion rate for LinkedIn Lead Gen Forms?

Three published figures circulate for LinkedIn Lead Gen Form performance, and each one counts something different. Check the label and the base before you set a target.

In our reading, a completion rate is usually measured against people who opened the form, and a click-to-lead rate is measured against ad clicks. If your dashboard divides by opens, compare it to the 42 Agency bands. If it divides by clicks, compare it to the Metadata figure.

A worked example

Assume 2,000 clicks at a $10 CPC, so $20,000 of spend.

• At 5.9% click-to-lead, you get 118 leads, a CPL of $169.49.
• At a 2% landing page rate, the low end of the Aimers range, you get 40 leads, a CPL of $500.

Same spend, same clicks. The conversion step alone triples the cost of a lead. Run this before you blame CPC.

Industry CPL ranges and the company size lever

42 Agency publishes CPL ranges from its own client accounts:

• Healthcare Tech | $400 - $600
• Construction Tech | $150 - $300
• FinTech (Enterprise) | $1,500 - $1,800

The agency states that excluding companies over 500 employees can reduce CPL by 60-70% for most B2B products, and it ties the same exclusion to a 60% cut for SMB FinTech. Treat that as one agency's client data, not a rule. Before you exclude enterprise accounts, check what share of your closed revenue comes from them in your funnel conversion benchmarks. A cheaper lead from the wrong segment can still lengthen CAC payback.

Why the published LinkedIn benchmarks disagree

The figures in the earlier sections come from different advertisers, counted in different ways, so they rarely line up. In our reading, four differences explain most of the gaps.

Spend-weighted averages against the middle advertiser

Metadata's methodology states it plainly: "A channel figure is spend-weighted: the biggest spenders count most." Its "middle of the market" is a different number: the advertiser in the middle when every advertiser is lined up by its own cost per lead. As the cost-per-lead section showed, these two can sit far apart. A team with a modest budget is closer to the middle advertiser than to the weighted figure.

Whose customers are in the sample

A vendor report describes that vendor's customers. HockeyStack drew on more than 70 B2B SaaS companies, ranging from $5M to $1B ARR. Dreamdata aggregates and analyses data from thousands of our customers. Agency figures, like the agency data cited earlier, describe clients who paid for outside help. We think none of these is a random draw of LinkedIn advertisers.

One year against several

Metadata's numbers cover one calendar year. HockeyStack's cover $28M in ad spend over three years. A multi-year figure blends auctions from different years, so we read it as a blend rather than a current price.

What counts as a lead, and who gets credit

The HockeyStack lead definition, covered earlier, left out lower-intent actions. Credit rules differ too. HockeyStack used a position-based model that assigns 40% of the credit to the first interaction and 40% to the last interaction. Metadata splits a deal that several campaigns touched evenly between them. Publication rules also filter results: every Metadata media number has at least 5 advertisers and $50,000 of spend behind it.

Checklist: match the benchmark to your own definition

1. Write down what your CRM counts as a lead: native form fill, landing-page form, demo request or all three. Compare against the marketing qualified lead definition the source used.
2. Match the denominator. Use spend on lead-generation campaigns only if the source does.
3. Pick the comparator by budget size: the middle advertiser for most teams, the weighted figure only if you are a large spender.
4. Match the period. Compare one year of your data to single-year benchmarks.
5. Match the credit rule. Recompute your cost per lead under the source's attribution model before judging the gap.
6. Check company fit: business model, revenue band and deal size against the sample description.

Worked example: from a $10 CPC to cost per lead and cost per opportunity

The math has two steps. CPL equals CPC divided by form conversion rate. Cost per opportunity equals CPL divided by the lead-to-opportunity rate. Every input below is illustrative, so replace each one with your own account data before you use the output.

At a $10 CPC, cost per lead falls from $200 at 5% form conversion to $100 at 10% and $67 at 15%.

Worked example: cost per lead at a $10 CPC by lead form conversion rate

Item	Value
5% of clicks convert	200 US dollars per lead
10% of clicks convert	100 US dollars per lead
15% of clicks convert	67 US dollars per lead
20% of clicks convert	50 US dollars per lead

At a $100 cost per lead, a lead-to-opportunity rate of 3%, 5%, 8% gives a cost per opportunity of $3,333, $2,000, $1,250. Source: Take the Market calculation: cost per lead = CPC divided by conversion rate (illustrative inputs)

Read across the $10 row. One hundred clicks cost $1,000. At 5% conversion they produce 5 leads, so each lead costs $200. At 10% the same $1,000 produces 10 leads at $100 each. At 15% it produces 15 leads, which rounds to $67 each.

Carrying a $100 lead to an opportunity

Take the middle cell, $100 per lead, and divide by the share of leads that become opportunities.

At 5%, it takes 20 leads to make one opportunity, and 20 times $100 is $2,000. A move from 3% to 8% cuts cost per opportunity by more than half. In our reading, that is a larger effect than most CPC changes an advertiser can negotiate, which is why we model the qualification rate before arguing about bids.

To sanity check the output, compare it with a planning range. For most B2B SaaS companies, Stackmatix puts a realistic LinkedIn cost per opportunity between $2,000 and $8,000, depending on annual contract value (ACV) and sales cycle length. The 3% and 5% rows fall inside that range. The 8% row falls below it.

Budget for volume as well as unit cost. The same guide says LinkedIn needs about 50 conversion events per campaign per month to exit its learning phase, which at $100 per lead means $5,000 per campaign per month.

The chain does not stop at the opportunity. In Metadata's 2025 data, 19.5% of closed ad-sourced opportunities were won, and each customer won cost $58,572. That figure comes from Metadata's own advertiser sample. It is not an output of our grid.

Inputs to fill in

1. Your blended CPC from the last 90 days.
2. Form conversion rate, measured as leads divided by clicks.
3. Lead-to-opportunity rate, using your own sales qualified lead definition.
4. A target cost per opportunity, used as a ceiling.

You can run the same chain backward from a pipeline target in the reverse funnel calculator.

How to check your LinkedIn account against a benchmark that matches

Run the check on one period and one campaign group at a time. Mixing objectives or formats in one export produces a blended number that no published benchmark matches.

The five steps

1. Pull one period from two systems. From Campaign Manager, export spend, impressions, clicks and leads. From the CRM, export the opportunities created from those same leads, with their creation date.
2. Compute with the publishers' definitions. CTR is clicks divided by impressions. CPC is spend divided by clicks. CPL is spend divided by leads. Click-to-lead is leads divided by clicks. Cost per opportunity is spend divided by opportunities.
3. Match the weighting. A single account should sit against a percentile distribution, not a spend-weighted average, for the reasons covered earlier.
4. Match format, destination and audience. In Metadata's 2025 data, document ads cost $142 per lead against $200 for image and $265 for video, and a lead-gen form produced a lead for $193 against $346 for a landing page. Audience matters too. Stackmatix notes that a campaign aimed at CMOs at enterprise SaaS companies in North America will pay 2-3x what a broad, global campaign aimed at marketing managers pays.
5. Match company size before judging customer cost. For companies under 200 employees, Metadata reports $30,739 per customer at a 20.7% close rate. That figure is a separate comparison from the all-advertiser one used earlier.

Copyable tracking template

A worked example with our own numbers: $15,000 spend, 300,000 impressions, 1,500 clicks, 90 leads and 6 opportunities. That gives a 0.5% CTR, a $10 CPC, a $166.67 CPL, a 6% click-to-lead rate and $2,500 per opportunity. You would then compare each figure to the benchmark row that matches your format, destination and audience, not to a channel-wide average.

Account for the lag

Opportunities and revenue arrive well after the first impression. Opportunities created this quarter often trace back to spend from earlier quarters. We track each period as a cohort: freeze the spend and lead counts, then add opportunities and closed-won revenue to that same row as they appear. Revisit the row after one full sales cycle; sales cycle length benchmarks help set that window. Judging cost per opportunity before then understates what the spend produced. The demand gen dashboard template holds these cohort rows next to your other channels.

What this page does not cover

This page does not cover creative production, bid strategy settings or how to build a LinkedIn audience, and it does not compare LinkedIn against every other paid channel. The figures come from published vendor and agency samples, so treat them as reference points for your own account data, not as guarantees. It is not financial advice.

Related on Take the Market: Google Ads for B2B SaaS: campaign structure, match types, negatives and offline conversion import; B2B retargeting strategy: audiences, frequency caps and the holdout test; MQL to SQL conversion rate benchmarks and B2B funnel conversion rates by stage.