The Logistics Marketing Benchmark Index | 2026 Edition
2026 Edition — Inaugural Report
The Logistics Marketing Benchmark Index
Anonymized performance data from marketing operations across 100+ logistics, supply chain, and transportation companies. The first data-driven benchmark built specifically for this industry.
Data Pool: 127 companies
Time Range: 2021 – Q1 2026
Sub-Verticals: 6 segments
Published: March 2026
1. SEO & Organic Traffic Benchmarks
Organic search performance across logistics companies by segment and size
Median Monthly Organic Sessions
8,420
Across all segments. Top quartile: 34,100+
Median Domain Authority
38
Freight Tech leads at 46. Brokers trail at 29.
Avg. Ranking Keywords
1,240
Companies w/ active content: 2,860 avg
Content Velocity
3.2
New pages published per month (median)
AI Search Visibility Score
14%
% of LLM prompts citing the brand. Top: 41%
Organic Traffic by Sub-Vertical
Median monthly sessions, Q1 2026
Domain Authority Distribution
By company revenue tier
Key Finding: Companies investing in structured content (pillar/cluster architecture) saw 2.4x more organic growth over 12 months than those publishing ad-hoc blog posts. The gap widened when LLM-optimized content was included — 3.1x for companies targeting both SEO and AI search citations.
Metric
3PL
Freight Broker
Asset Carrier
Freight Tech
Warehousing
Forwarder
Median Organic Sessions/mo
9,800
4,200
6,100
14,600
5,300
7,900
Median Domain Authority
39
29
35
46
33
41
Avg Ranking Keywords
1,380
680
940
2,860
720
1,100
Top 10 Rankings (count)
42
18
28
98
22
36
Content Velocity (pages/mo)
3.8
1.6
2.2
6.4
2.0
3.0
Avg Blog Word Count
1,450
890
1,100
1,820
960
1,280
AI Search Visibility
12%
6%
9%
22%
8%
15%
Organic YoY Growth
+34%
+18%
+22%
+52%
+20%
+28%
2. Paid Media & Lead Generation Benchmarks
Advertising performance and lead acquisition costs across channels
Median Cost Per Lead
$142
Google Ads: $118. LinkedIn: $214. Meta: $86.
Avg. Google Ads CPC
$6.82
Freight Tech: $9.40. Carriers: $4.10.
Landing Page CVR
3.8%
Top quartile: 7.2%. Bottom quartile: 1.4%.
Lead-to-Demo Rate
22%
For companies with SDR follow-up within 24hrs
Demo-to-Customer Rate
18%
Freight Tech: 24%. Traditional 3PLs: 12%.
Cost Per Lead by Channel
Median CPL across logistics companies
Channel Mix: Where Budget Goes
Average paid media allocation by sub-vertical
Key Finding: The lowest CPL performers ($19–$45 range) all had one thing in common: they ran content-driven campaigns rather than pure demand capture. Combining educational content with retargeting produced CPLs 68% lower than direct "get a quote" campaigns.
Metric
3PL
Freight Broker
Asset Carrier
Freight Tech
Warehousing
Forwarder
Median CPL (Google Ads)
$128
$94
$82
$168
$96
$138
Median CPL (LinkedIn)
$198
$180
$162
$284
$176
$220
Median CPL (Meta/Other)
$72
$64
$58
$118
$68
$92
Avg CPC (Google)
$6.20
$4.80
$4.10
$9.40
$5.10
$7.30
Landing Page CVR
3.6%
4.2%
3.8%
3.4%
4.0%
3.2%
Monthly Ad Spend (median)
$8,400
$4,200
$3,600
$18,000
$5,200
$6,800
ROAS (6-month avg)
4.2x
3.8x
5.1x
2.6x
3.4x
3.9x
3. Brand & Content Marketing Benchmarks
Social engagement, newsletter performance, content cadence, and brand search trends
Avg LinkedIn Engagement Rate
2.8%
Company pages. Exec posts avg 5.4%.
Newsletter Open Rate
28.6%
Industry avg (all B2B): 21.3%
Newsletter CTR
3.4%
Top quartile: 6.2%. Bottom: 1.1%.
Brand Search Growth (YoY)
+19%
Companies with active content programs
Video Completion Rate
42%
YouTube avg. LinkedIn native: 31%.
LinkedIn Engagement by Post Type
Avg engagement rate across logistics company pages
Content Format Performance
Lead generation effectiveness by content type
Key Finding: Executive-authored LinkedIn content outperformed company page posts by 2.9x on engagement and 4.1x on click-through. Companies with a named thought leader publishing weekly saw brand search volume increase 34% within 6 months vs. 8% for companies relying solely on company-page content.
Metric
3PL
Freight Broker
Asset Carrier
Freight Tech
Warehousing
Forwarder
LinkedIn Followers (median)
4,200
1,800
8,400
6,800
2,900
3,600
LinkedIn Engagement Rate
2.6%
2.2%
1.8%
3.4%
2.4%
2.9%
Social Posts/week
3.2
1.8
2.4
4.6
2.0
2.8
Newsletter Subscribers (median)
1,400
620
2,200
3,800
880
1,100
Newsletter Open Rate
27.2%
24.8%
26.0%
31.4%
28.8%
30.2%
Webinar Attendance Rate
38%
32%
28%
44%
34%
36%
Brand Search Vol Growth (YoY)
+16%
+8%
+12%
+28%
+14%
+22%
4. Marketing Operations & Spend Benchmarks
Budget allocation, team structure, tech stack adoption, and agency/in-house models
Median Marketing Budget (% of Rev)
3.2%
Freight Tech: 8.4%. Carriers: 1.4%.
Avg In-House Marketing Team
2.8
FTEs. 41% of companies have 0-1 marketers.
Use External Agency
62%
Of companies surveyed. Avg tenure: 14 months.
CRM Adoption Rate
58%
HubSpot: 34%. Salesforce: 18%. Other: 6%.
Marketing Automation
31%
Running any form of automated nurture sequences
Budget Allocation by Category
Where the median logistics company spends marketing dollars
Tech Stack Adoption
% of logistics companies using each tool category
Key Finding: Companies spending 5%+ of revenue on marketing grew 2.7x faster in pipeline than those at the industry median of 3.2%. The biggest gap wasn't in paid media spend, but in content and brand infrastructure — the companies pulling ahead invested in systems (CMS, CRM, content workflows) while laggards kept spending on one-off tactics.
Metric
Under $50M
$50M–$250M
$250M–$1B
$1B+
Marketing Budget (% Rev)
4.8%
3.6%
2.4%
1.8%
Marketing Budget ($/month)
$12,000
$38,000
$82,000
$240,000
In-House Marketers (FTEs)
1.2
3.4
6.8
18.0
Use Agency (% of companies)
72%
64%
54%
48%
Agency Monthly Retainer
$4,500
$12,000
$22,000
$45,000
CRM Adoption
42%
68%
82%
94%
Marketing Automation
18%
34%
52%
68%
Dedicated SEO Strategy
24%
48%
62%
78%
Content Management System
56%
72%
84%
92%
Analytics/Attribution
22%
46%
64%
82%
5. Marketing Maturity Snapshot
Where the industry sits on the marketing maturity curve
Marketing Maturity Distribution
Self-assessed + observed maturity levels across 127 logistics companies
Maturity Level
% of Companies
Avg Team Size
Avg Budget (% Rev)
Avg Organic Growth (YoY)
Has Content Strategy
CRM Adoption
Startup / Scrappy
38%
0.8
1.6%
+8%
12%
28%
Growth Mode
41%
3.2
4.2%
+32%
68%
72%
Established / Scaling
21%
9.4
6.8%
+48%
92%
94%
The Maturity Gap: Nearly 4 in 10 logistics companies still operate at the "startup/scrappy" level — no dedicated marketer, no CRM, no content strategy. These companies are invisible in AI search results (avg visibility: 2%) and generate zero inbound pipeline. The jump from Scrappy to Growth Mode produced the single largest ROI inflection point in our dataset: a median 4x increase in inbound leads within 12 months of investing in marketing infrastructure.
Methodology & Data Sources
This benchmark index is compiled from anonymized marketing performance data observed across 127 logistics, supply chain, and transportation companies between 2021 and Q1 2026. Data sources include SEO analytics platforms (Semrush, Google Search Console, Looker Studio), advertising platforms (Google Ads, LinkedIn Campaign Manager, Meta Ads), CRM and marketing automation systems (HubSpot, Salesforce), social media analytics (LinkedIn, YouTube), email platforms, project management tools, and direct operational observation.
Companies are segmented by sub-vertical (3PL, Freight Brokerage, Asset Carrier, Freight Tech/SaaS, Warehousing/Fulfillment, Freight Forwarding/NVOCC) and by annual revenue tier (Under $50M, $50M–$250M, $250M–$1B, $1B+). Marketing maturity is assessed on a three-tier scale based on team size, budget allocation, technology adoption, and content strategy sophistication.
All company-level data is anonymized. No individual company can be identified from the published benchmarks. Medians are used as the primary central tendency measure to reduce the impact of outliers. Where "average" is reported, it refers to the arithmetic mean of the relevant cohort.
This report is produced by The Logistics Marketing Agency (formerly The Robinson Agency), the only marketing firm operating exclusively in logistics, supply chain, and transportation. Our embedded operating model gives us direct access to the marketing infrastructure of the companies we serve — not survey data, but real operational metrics.