linkedin-benchmark-database

LinkedIn Ads Benchmark Database

Overview

This skill provides a comprehensive database of LinkedIn Ads benchmarks by industry, ad format, funnel stage, and campaign type, so you can assess how your B2B metrics perform compared to market standards.

Benchmark Disclaimer

IMPORTANT CONTEXT

These benchmarks are based on:
+-- 42agency "B2B LinkedIn Ads Benchmarks 2026" (Feb 2026, 87 campaigns, $5M+ spend)
+-- CloselyHQ "LinkedIn Ad Benchmarks 2025" (Jan 2026)
+-- Tinuiti "Digital Ads Benchmark Report Q4 2025" (Jan 2026)
+-- Primarily focused on Western European/North American markets
+-- B2B focus (LinkedIn's core market)

Benchmarks are GUIDELINES, not absolute truths:
+-- Your specific niche may deviate significantly
+-- Enterprise vs SMB has enormous impact
+-- Sales cycle length affects CPL acceptance
+-- Always compare with your own LTV:CAC ratio

CPL Benchmarks by Industry

COST PER LEAD (CPL) BY INDUSTRY
===============================

Industry              | Poor    | Average | Good    | Excellent
----------------------+---------+---------+---------+----------
Finance & Insurance   | >$120   | $90-120 | $60-90  | <$60
Healthcare            | >$150   | $100-150| $70-100 | <$70
SaaS / Software       | >$120   | $80-120 | $50-80  | <$50
Education             | >$80    | $60-80  | $40-60  | <$40
Marketing / Agencies  | >$120   | $80-120 | $50-80  | <$50
Professional Services | >$100   | $70-100 | $45-70  | <$45
Manufacturing         | >$130   | $90-130 | $60-90  | <$60
Technology (Hardware) | >$140   | $100-140| $65-100 | <$65
Consulting            | >$110   | $75-110 | $50-75  | <$50
Recruitment / HR Tech | >$90    | $60-90  | $40-60  | <$40

CONTEXT FACTORS:
+-- Enterprise deals ($50k+ ACV): CPL $150-300+ acceptable
+-- SMB deals ($5k ACV): CPL <$50 target
+-- Freemium SaaS: CPL <$30 ideal
+-- High-touch sales: Higher CPL OK if SQL rate is high

CPC & CPM Benchmarks

COST PER CLICK (CPC) BY INDUSTRY
================================

Industry              | Poor    | Average | Good    | Excellent
----------------------+---------+---------+---------+----------
Finance & Insurance   | >$8.00  | $5-8    | $3-5    | <$3.00
SaaS / Software       | >$10.00 | $6-10   | $4-6    | <$4.00
Technology            | >$9.00  | $5-9    | $3-5    | <$3.00
Healthcare            | >$7.00  | $4-7    | $2.50-4 | <$2.50
Education             | >$6.00  | $3.50-6 | $2-3.50 | <$2.00
Manufacturing         | >$7.50  | $4.50-7.5| $3-4.50| <$3.00
Professional Services | >$6.50  | $4-6.50 | $2.50-4 | <$2.50
General B2B           | >$7.00  | $4-7    | $2.50-4 | <$2.50

NOTES:
+-- LinkedIn CPC is 3-5x higher than Meta/Google
+-- But: B2B audience quality often compensates
+-- Focus on CPL/CPA, not just CPC

COST PER MILLE (CPM) BY TARGETING
=================================

Targeting Type         | Range
-----------------------+------------
Broad Professional     | $25-35
Job Title Targeting    | $35-50
Job Function           | $30-45
Industry + Seniority   | $40-60
Matched Audiences      | $20-30
Lookalike Audiences    | $25-40
ABM / Account Lists    | $50-80
C-Suite Only           | $60-100

CONTEXT FACTORS:
+-- US/UK markets: +20-30% vs EU
+-- Small audiences (<50k): Premium pricing
+-- Q4: +15-25% seasonal increase

CTR Benchmarks by Ad Format

CLICK-THROUGH RATE (CTR) BY FORMAT
==================================

Ad Format               | Poor    | Average   | Good      | Excellent
------------------------+---------+-----------+-----------+----------
Sponsored Content       | <0.35%  | 0.35-0.55%| 0.55-0.80%| >0.80%
Video Ads               | <0.30%  | 0.30-0.45%| 0.45-0.65%| >0.65%
Carousel Ads            | <0.40%  | 0.40-0.60%| 0.60-0.90%| >0.90%
Document Ads (download) | <0.40%  | 0.40-0.65%| 0.65-1.00%| >1.00%
Thought Leader Ads      | <0.45%  | 0.45-0.70%| 0.70-1.10%| >1.10%
Message Ads (InMail)    | <2.00%  | 2.00-3.50%| 3.50-5.00%| >5.00%
Conversation Ads        | <2.50%  | 2.50-4.00%| 4.00-6.00%| >6.00%
Text Ads                | <0.015% | 0.015-0.03%| 0.03-0.05%| >0.05%
Dynamic Ads             | <0.05%  | 0.05-0.10%| 0.10-0.20%| >0.20%
Lead Gen Forms (CVR)    | <6%     | 6-10%     | 10-15%    | >15%
CTV Ads                 | N/A (awareness only — measure VCR and reach, not CTR)

NOTES:
+-- Message Ads: Higher CTR but limited volume
+-- Lead Gen Forms: Measure CVR (form completion), not CTR
+-- Video: Focus on View Rate (25/50/75% completion)
+-- Carousel: Swipe rate 30-50% = healthy
+-- Document Ads: Also track "document completion rate" (pages read) as quality signal
+-- Thought Leader Ads: Higher CTR than brand Sponsored Content; employee voice drives trust
+-- CTV Ads: Launched Dec 2025; measure VCR (video completion rate) and household reach

Conversion Rate Benchmarks by Funnel Stage

CONVERSION RATE BY FUNNEL STAGE
===============================

Funnel Stage           | Poor    | Average | Good    | Excellent
-----------------------+---------+---------+---------+----------
TOFU (Awareness)
+-- Video View Rate    | <15%    | 15-25%  | 25-40%  | >40%
+-- Engagement Rate    | <0.5%   | 0.5-1%  | 1-2%    | >2%
+-- Brand Lift         | <3%     | 3-8%    | 8-15%   | >15%

MOFU (Consideration)
+-- Landing Page CVR   | <2%     | 2-4%    | 4-6%    | >6%
+-- Content Download   | <4%     | 4-8%    | 8-12%   | >12%
+-- Webinar Signup     | <3%     | 3-6%    | 6-10%   | >10%

BOFU (Conversion)
+-- Demo Request       | <1.5%   | 1.5-3%  | 3-5%    | >5%
+-- Free Trial         | <2%     | 2-4%    | 4-7%    | >7%
+-- Contact Form       | <1%     | 1-2.5%  | 2.5-4%  | >4%

Lead Gen Forms vs Landing Pages

LEAD GEN FORMS vs LANDING PAGES
===============================

Metric                  | Lead Gen Forms | Landing Pages
------------------------+----------------+---------------
Conversion Rate         | 10-13%         | 4-6%
Cost per Lead           | 15-25% lower   | Higher
SQL Rate (quality)      | 20-40% lower   | Higher
Mobile Experience       | Excellent      | Variable
Form Fields Limit       | Up to 12       | Unlimited
Custom Validation       | Limited        | Full control
Retargeting Data        | Limited        | Full pixel

WHEN TO USE WHAT:

LEAD GEN FORMS (Native)
+-- High-volume lead generation
+-- Mobile-first audience
+-- Simple qualification (job title, company)
+-- TOFU/MOFU content offers
+-- Lower friction = higher volume, lower quality

LANDING PAGES
+-- Complex qualification needed
+-- Multi-step forms
+-- Custom validation rules
+-- BOFU demo/trial requests
+-- Higher friction = lower volume, higher quality

HYBRID APPROACH (Best Practice)
+-- Use Lead Gen Forms for initial capture
+-- Add 1-2 qualifying questions to filter
+-- Retarget form submitters with LP ads
+-- Measure SQL rate, not just lead volume

SQL Rate & Pipeline Benchmarks

LEAD QUALITY BENCHMARKS
=======================

Metric                  | Poor    | Average | Good    | Excellent
------------------------+---------+---------+---------+----------
MQL to SQL Rate         | <10%    | 10-20%  | 20-35%  | >35%
SQL to Opportunity      | <20%    | 20-35%  | 35-50%  | >50%
Opportunity to Close    | <15%    | 15-25%  | 25-40%  | >40%
Lead Gen Form SQL Rate  | <8%     | 8-15%   | 15-25%  | >25%
Landing Page SQL Rate   | <15%    | 15-30%  | 30-45%  | >45%

B2B SALES CYCLE CONTEXT:
+-- Avg LinkedIn-sourced cycle: 200+ days
+-- Multi-touch attribution: 6-12 touches average
+-- First touch to opportunity: 30-90 days
+-- Don't judge CPL without SQL rate data

Engagement Benchmarks

ENGAGEMENT RATE BENCHMARKS
==========================

Metric                  | Poor    | Average   | Good      | Excellent
------------------------+---------+-----------+-----------+----------
Total Engagement Rate   | <0.3%   | 0.3-0.6%  | 0.6-1%    | >1%
Like Rate               | <0.15%  | 0.15-0.3% | 0.3-0.5%  | >0.5%
Comment Rate            | <0.02%  | 0.02-0.05%| 0.05-0.1% | >0.1%
Share Rate              | <0.01%  | 0.01-0.03%| 0.03-0.06%| >0.06%
Follow Rate (per ad)    | <0.05%  | 0.05-0.1% | 0.1-0.2%  | >0.2%

VIDEO SPECIFIC:
+-- 25% View Rate       | <20%    | 20-35%  | 35-50%  | >50%
+-- 50% View Rate       | <10%    | 10-20%  | 20-35%  | >35%
+-- 75% View Rate       | <5%     | 5-12%   | 12-20%  | >20%
+-- 100% Completion     | <3%     | 3-8%    | 8-15%   | >15%

Seasonal Adjustment Factors

SEASONAL VARIATIONS (B2B)
================================

Period               | CPM Factor | CPL Factor | Notes
---------------------+------------+------------+--------------
Q1 (Jan-Mar)         |   0.90     |   0.95     | Budget resets
April-May            |   0.95     |   1.00     | Baseline
June                 |   0.92     |   0.98     | Summer start
July-August          |   0.85     |   1.05     | Vacation mode
September            |   1.00     |   1.00     | Back to work
October              |   1.05     |   1.00     | Q4 planning
November             |   1.15     |   1.05     | Budget flush
December 1-15        |   1.20     |   1.10     | Year-end push
December 16-31       |   0.80     |   1.15     | Holiday shutdown

B2B SPECIFIC PATTERNS:
+-- Decision makers OOO: Jul-Aug, Dec 20-Jan 3
+-- Budget cycles: Jan (resets), Nov-Dec (use-or-lose)
+-- Conference season: Spring/Fall = more noise
+-- Summer: Lower CPM but lower response rates

Benchmark Comparison Template

When a user asks to evaluate their metrics:

METRIC EVALUATION - [ACCOUNT]
============================

YOUR METRICS vs BENCHMARKS

Metric      | Your Value | Benchmark | Difference | Status
------------+------------+-----------+------------+--------
CPL         |   $[X]     |   $[Y]    |  [+/-Z%]   | [Good/OK/Poor]
CPC         |   $[X]     |   $[Y]    |  [+/-Z%]   | [Good/OK/Poor]
CTR         |   [X]%     |   [Y]%    |  [+/-Z%]   | [Good/OK/Poor]
CVR (Form)  |   [X]%     |   [Y]%    |  [+/-Z%]   | [Good/OK/Poor]
SQL Rate    |   [X]%     |   [Y]%    |  [+/-Z%]   | [Good/OK/Poor]
Eng. Rate   |   [X]%     |   [Y]%    |  [+/-Z%]   | [Good/OK/Poor]

INTERPRETATION:
Good = Above benchmark (>10% better)
OK   = On benchmark (+/-10%)
Poor = Below benchmark (>10% worse)

CONTEXT FACTORS:
+-- Industry: [specified]
+-- Funnel Stage: [TOFU/MOFU/BOFU]
+-- Ad Format: [specified]
+-- Target Audience: [specified]

RECOMMENDATIONS:
+-- [Focus area 1]
+-- [Focus area 2]
+-- [Focus area 3]

Predictive Audiences Benchmark

LinkedIn's AI-powered lookalike audiences (2025):

PREDICTIVE AUDIENCES PERFORMANCE
==================================

Requirement: 300+ seed contacts OR 300+ conversion events
Seed types:  Contact upload (CRM export), Insight Tag conversions, Lead Gen Form submitters

Typical improvement vs standard targeting:
+-- CPL: ~21% lower (LinkedIn internal benchmark)
+-- Lead quality (MQL rate): Roughly equivalent to interest targeting
+-- Delivery: Wider reach than narrow job-title audiences

Audience size: Predictive audiences typically generate 50K-300K members
Build time:    24-72 hours after seed upload

WHEN BENCHMARKING:
+-- If using Predictive Audiences and CPL is still above benchmark → seed quality issue
+-- Best seeds: closed-won customers > all SQLs > all MQLs
+-- Refresh seed quarterly with updated CRM data

MCP Tool Usage

Use these calls to pull benchmark comparison data:

# Get account-level performance summary
linkedin_get_analytics(
  account_id="YOUR_ACCOUNT_ID",
  start_date="YYYY-MM-DD",
  end_date="YYYY-MM-DD",
  level="account",
  fields=["costInLocalCurrency", "clicks", "impressions", "leads", "totalEngagements"]
)

# Compare by campaign to find outliers vs benchmark
linkedin_get_analytics(
  account_id="YOUR_ACCOUNT_ID",
  start_date="YYYY-MM-DD",
  end_date="YYYY-MM-DD",
  level="campaign",
  fields=["costInLocalCurrency", "clicks", "impressions", "leads"]
)

# List campaigns with objective to contextualize benchmark (e.g., lead gen vs awareness)
linkedin_query(
  account_id="YOUR_ACCOUNT_ID",
  entity_type="campaigns"
)

LTV:CAC Framework

LINKEDIN ADS ROI EVALUATION
==========================

Step 1: Calculate Customer Acquisition Cost (CAC)
+-- Total LinkedIn Spend: $[X]
+-- Number of Customers: [Y]
+-- CAC = $[X] / [Y] = $[Z]

Step 2: Determine Customer Lifetime Value (LTV)
+-- Average Contract Value: $[X]
+-- Average Customer Lifespan: [Y] years
+-- Gross Margin: [Z]%
+-- LTV = $[X] x [Y] x [Z]% = $[W]

Step 3: Evaluate LTV:CAC Ratio
+-- <1:1 = Unprofitable
+-- 1:1 - 3:1 = Break-even to marginal
+-- 3:1 - 5:1 = Healthy (target range)
+-- 5:1 - 7:1 = Excellent
+-- >7:1 = Under-investing in growth?

LINKEDIN TYPICAL LTV:CAC:
+-- SaaS B2B: 4:1 - 6:1 target
+-- Enterprise: 5:1 - 8:1 (long sales cycle)
+-- SMB: 3:1 - 5:1 (shorter cycle)
+-- Services: 4:1 - 7:1

Example Interaction

User: "My LinkedIn campaign for SaaS has a CPL of $95 and an SQL rate of 18%. Is that good?"

Claude response:

"Let me compare your metrics with SaaS benchmarks:

---

BENCHMARK COMPARISON - SaaS B2B:

Metric	Your Value	Benchmark Range	Status
CPL	$95	$80-120 (average)	Good
SQL Rate	18%	10-20% (average-good)	Good
Effective Cost per SQL	$528	$400-600 (calculated)	OK

---

INTERPRETATION:

CPL ($95) - Right in the middle of the average range for SaaS. Acceptable.

SQL Rate (18%) - Above average. This significantly compensates for the CPL.

Cost per SQL ($528) - This is the metric that truly matters. $95 / 18% = $528 per qualified lead.

---

CONTEXT QUESTION: What is your Average Contract Value (ACV)?

• If ACV >$10k: Excellent performance
• If ACV $5-10k: Healthy
• If ACV <$5k: CPL optimization needed

RECOMMENDATIONS:

1. Maintain SQL rate - This is your strong point. Don't add extra friction.

2. Test CPL reduction via:

   • Broader targeting (can lower CPL 15-20%)
   • Organic content boost (thought leadership)
   • Lead Gen Forms vs Landing Page A/B test

3. Track LTV:CAC ratio - If it's >3:1, you can safely scale up.

Would you like me to analyze your Cost per SQL against your ACV?"