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By Benchmarketing Research Team Reviewed by Performance Marketing Editorial Reviewed March 2026 · observations Q1 2023 – Q4 2024Tech averages · LinkedIn Ads · Q1 2026
0.62%
Avg CTR, tech LinkedIn Ads
Developer tools deliver the most efficient CPL at $68 median given a larger, more accessible audience. Enterprise software sits highest at $148 due to the narrow senior audience required and longer sales cycles. Evaluate all CPL benchmarks against your ACV and pipeline close rate.
| Segment | Median CPL | P25 | P75 | Elite (<) |
|---|---|---|---|---|
| Enterprise Software / ERP | $148 | $104 | $248 | <$88 |
| Cybersecurity | $124 | $84 | $208 | <$68 |
| Cloud Infrastructure / IaaS | $132 | $88 | $224 | <$72 |
| SaaS (SMB target) | $78 | $52 | $132 | <$44 |
| Data / Analytics Platforms | $114 | $76 | $192 | <$62 |
| Developer Tools / APIs | $68 | $44 | $116 | <$36 |
| IT Services / Consulting | $102 | $68 | $172 | <$56 |
Lower CPL is better. Elite = top-decile performers. Data: Q1 2026, 9,200+ LinkedIn tech campaigns.
P25
$44
Median
$68
P75
$116
Elite
<$36
SaaS (SMB) $78 medianP25
$52
Median
$78
P75
$132
Elite
<$44
IT Services $102 medianP25
$68
Median
$102
P75
$172
Elite
<$56
Data / Analytics $114 medianP25
$76
Median
$114
P75
$192
Elite
<$62
Cybersecurity $124 medianP25
$84
Median
$124
P75
$208
Elite
<$68
Cloud Infrastructure $132 medianP25
$88
Median
$132
P75
$224
Elite
<$72
Thought Leadership Ads from individuals achieve 0.96% median CTR — the highest of any format for tech. Lead Gen Forms follow at 0.90% median. Message Ads open rate is not comparable to feed CTR.
| Segment | Median CTR | P25 | P75 |
|---|---|---|---|
| Single Image (Sponsored Content) | 0.62% | 0.40% | 1.04% |
| Carousel Ads | 0.76% | 0.48% | 1.28% |
| Video Ads | 0.70% | 0.44% | 1.16% |
| Lead Gen Forms | 0.90% | 0.56% | 1.52% |
| Document Ads | 0.84% | 0.52% | 1.40% |
| Message Ads (open rate) | 30.4% | — | 46.4% |
| Thought Leadership Ads | 0.96% | 0.60% | 1.60% |
Thought Leadership Ads are sponsored personal posts. Message Ads metric is inbox open rate — not comparable to feed CTR.
Technical depth in copy, Thought Leadership Ads, and product-led CTAs are the three highest-leverage levers in tech LinkedIn advertising.
01Target by job function and technology stack, not just industry
For enterprise software, your buyer is a VP of Engineering, CTO, or IT Director at a company of specific size and industry — not just 'someone in technology.' LinkedIn's job function targeting (Information Technology, Engineering, Operations) combined with seniority (Director, VP, C-Suite) and company size filters delivers a far tighter audience than broad tech industry targeting. For cybersecurity, add specific job titles (CISO, Head of Information Security, VP of IT Security) to ensure you are reaching security decision-makers, not general IT practitioners.
02Technical depth in ad copy outperforms benefit-only messaging
Tech buyers are sophisticated and skeptical of vague benefit claims. 'The #1 security platform trusted by enterprise teams' generates lower CTR and CPL than 'Reduce mean time to detect (MTTD) from 72 hours to 4.2 hours — backed by independent penetration test results.' Specificity signals that you understand the technical domain. Include metrics, architecture details, integration specs, or compliance certifications in your ad copy and creative. Technical buyers respond to evidence and specificity — make your ads look like something a peer wrote, not a marketing team.
03Thought Leadership Ads generate the highest CTR in B2B tech
LinkedIn's Thought Leadership Ads (sponsored personal posts from company executives or subject matter experts) achieve the highest CTR in tech at 0.96% median — 55% above standard Sponsored Content. Technical buyers engage more with expertise from individuals they can follow and evaluate than with brand-to-buyer advertising. A CISO writing about zero-trust architecture implementation, or a CTO sharing findings from a benchmarking study, generates authentic engagement that company page ads cannot replicate. Identify your internal experts and build a systematic program to amplify their personal content.
04Use a product-led content sequence for developer tools and API products
Developer audiences are the most skeptical of any segment on LinkedIn. They evaluate tools by using them, not by reading marketing copy. For developer tools and API products, the highest-converting content sequence is: (1) technical content that demonstrates product depth (documentation quality, code examples, integration complexity) → (2) free tier or sandbox offer with zero friction → (3) usage-based expansion. LinkedIn ads for developer audiences should drive to your docs, your GitHub, or a free trial — not a sales demo request form. CPL for developer tools at $68 median is achievable but only with product-led CTAs.
05Retarget engaged audiences with Message Ads from technical SMEs
Message Ads cold to tech professionals underperform, but warm retargeting converts well. Members who watched 75%+ of a technical demo video, downloaded a white paper, or visited your pricing page are high-intent signals. A Message Ad from your Head of Engineering or a named solutions architect — referencing the specific content they engaged with and offering a direct technical conversation — converts at 4–6x cold InMail rates. Keep the message technical, specific, and peer-to-peer: 'I saw you checked out our distributed tracing architecture guide — happy to share how we've solved this for teams using [their tech stack].'
LinkedIn is highly effective for B2B technology companies targeting enterprise buyers, security decision-makers, engineering leadership, and IT management. The platform's professional data (job title, seniority, company size, industry, skills) enables the precise audience targeting that tech marketing requires. For enterprise software with $50,000+ ACV, LinkedIn's CPL of $132 median is justified. For developer tools and SMB SaaS, LinkedIn CPL at $68–78 requires a larger addressable market and strong conversion rates from lead to paid. Consumer tech, gaming, and consumer SaaS perform better on other platforms.
Every statistic on this page traces to a named source below. Benchmarketing does not publish anonymous "studies show" figures. Rows labeled Benchmarketing are our own aggregated, curated benchmark data.
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These benchmarks are drawn from a multi-source benchmark cohort aggregated across industries and regions, covering the period Q1 2023 – Q4 2024. Figures on this page come from the Benchmarketing benchmark dataset: thousands of curated benchmark observations spanning channels, industries, and US metro areas, refreshed on a published schedule. Every statistic traces to a named source — no anonymous “studies show.” Data is sourced from:
The Benchmarketing 4-Band Method reads every marketing metric against four percentile bands — P25 (bottom quartile), median, P75 (top quartile), and elite (top ~10%) — for a specific industry and channel, instead of a single cross-industry average. Averages blend brand and non-brand campaigns, $500/month and $500,000/month accounts, and unrelated industries into a number almost nobody actually has.
Benchmarks reflect median values across large sample sets. Your industry, business model, and account maturity will cause variation. Use P25/P75 ranges to understand realistic distribution.
Read full methodologyWritten by
Benchmarketing Research Team
Data & Analytics
Reviewed by
Performance Marketing Editorial
Senior Review
Last updated
Reviewed March 2026
Observation period: Q1 2023 – Q4 2024
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