We detected 150,574 customers using Linkedin Ads and 3,816 customers with estimated renewals in the next 3 months. The most common industry is Software Development (12%) and the most common company size is 11-50 employees (32%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We can not detect companies using Linkedin Ads for mobile app install campaigns only, or for offline conversions. We are also unable to detect churned customers for this vendor, only new customers
About Linkedin Ads
Linkedin Ads enables businesses to reach professionals through targeted advertising campaigns on LinkedIn's platform using various ad formats like sponsored content, messaging ads, and dynamic ads. Advertisers can precisely target audiences based on professional criteria including job title, industry, company, and seniority to drive brand awareness, generate leads, and increase conversions.
📊 Who in an organization decides to buy or use Linkedin Ads?
Source: Analysis of 100 job postings that mention Linkedin Ads
Job titles that mention Linkedin Ads
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Based on an analysis of job titles from postings that mention Linkedin Ads.
Job Title
Share
Director of Marketing
23%
Director of Demand Generation
13%
Head of Marketing
11%
Head of Demand Generation
9%
My analysis reveals that LinkedIn Ads purchasing decisions sit squarely with marketing leadership, with Directors of Marketing (23%), Directors of Demand Generation (13%), and Heads of Marketing (11%) representing nearly half of all roles. These leaders are responsible for strategic budget allocation across paid channels, often managing substantial advertising spend. Their priorities center on pipeline creation, lead quality, and marketing-attributed revenue. They're hiring for capabilities in multi-channel campaign orchestration, ABM strategies, and marketing operations expertise.
The day-to-day users are a mix of specialized practitioners and player-coaches. Performance Marketing Specialists, Digital Marketing Managers, and Paid Media Managers execute campaigns hands-on, managing platform mechanics like audience segmentation, bid strategies, creative testing, and conversion tracking. They work inside LinkedIn Campaign Manager daily, optimizing for metrics like CPL, MQL-to-SQL conversion, and ROAS. Many roles blend strategic planning with tactical execution, requiring both campaign architecture and granular optimization skills.
The pain points consistently revolve around pipeline efficiency and proving ROI. I see phrases like "drive marketing-qualified leads that convert into revenue," "maximize return on ad spend," and "deliver measurable pipeline impact" throughout these postings. Companies want "high-quality leads" not just volume, and they're obsessed with funnel metrics from awareness through closed-won. The recurring emphasis on analytics, attribution, and cost-per-acquisition signals that LinkedIn Ads buyers need to justify every dollar spent with clear business outcomes.
🔧 What other technologies do Linkedin Ads customers also use?
Source: Analysis of tech stacks from 150,574 companies that use Linkedin Ads
Commonly Paired Technologies
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Shows how much more likely Linkedin Ads customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that companies using LinkedIn Ads are sophisticated digital marketers running full-funnel, multi-channel acquisition strategies. The extremely high correlation with Facebook Ads (123.4x more likely) and Twitter Ads (381.4x more likely) tells me these aren't companies dabbling in paid social. They're systematically advertising across every major platform where their audience exists. This is a coordinated approach, not a test-and-learn mentality.
The pairing with HubSpot Marketing Hub is particularly revealing. These companies need serious marketing automation infrastructure to manage leads coming from multiple paid channels. They're likely running complex nurture sequences and scoring leads differently based on channel source. The combination of LinkedIn Ads, Facebook Ads, and HubSpot suggests a company that needs to justify significant ad spend with detailed attribution and ROI reporting. Meanwhile, the prevalence of Microsoft Clarity and Hotjar shows an obsession with understanding user behavior after the click. They're not just buying traffic, they're optimizing the entire post-click experience.
My analysis shows these are definitively marketing-led organizations, likely B2B companies or higher-ticket B2C businesses. The presence of Yoast indicates they're also investing in organic search alongside paid channels, suggesting they're past the earliest startup stage and building sustainable, diversified acquisition strategies. They have real marketing budgets and teams large enough to manage multiple platforms simultaneously.
👥 What types of companies is most likely to use Linkedin Ads?
Source: Analysis of Linkedin bios of 150,574 companies that use Linkedin Ads
Company Characteristics
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Shows how much more likely Linkedin Ads customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Funding Stage: Series A
10.9x
Funding Stage: Series C
10.8x
Funding Stage: Series B
10.2x
Country: FI
4.9x
Industry: Software Development
4.8x
Country: DK
4.1x
I analyzed these LinkedIn Ads users and found they span an remarkably diverse range of B2B industries, but with a common thread: they're all selling something that requires explanation and relationship-building. I see manufacturers of specialized equipment (tractors, fire suppression systems, concrete solutions), professional service providers (consultants, agencies, financial advisors), technology companies (security, software, IT services), and niche B2B suppliers. What unites them is complexity. These aren't impulse purchases. They're solutions that need to be discovered, evaluated, and trusted.
These are predominantly established, mature businesses. The employee counts cluster heavily in the 11-50 and 51-200 ranges, with many reaching 201-500. Very few show recent funding rounds, and when they do, it's typically seed or Series A for younger tech companies. The majority appear to be profitable, privately-held businesses with stable revenue streams rather than venture-backed startups chasing growth at all costs.
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