We detected 182 customers using Cognism and 8 companies that churned or ended their trial. The most common industry is IT Services and IT Consulting (20%) and the most common company size is 11-50 employees (47%). Our methodology involves monitoring new entries and modifications to company DNS records.
👥 What types of companies is most likely to use Cognism?
Source: Analysis of Linkedin bios of 182 companies that use Cognism
Company Characteristics
i
Shows how much more likely Cognism 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
Country: GB
12.8x
Industry: IT Services and IT Consulting
7.9x
Company Size: 51-200
3.0x
Company Size: 11-50
2.3x
Country: US
1.7x
I noticed that Cognism's customer base spans an incredibly diverse range of industries, but they share a common thread: they're all service-oriented businesses that need to find and connect with other businesses. These aren't product manufacturers or retailers. They're recruitment agencies, IT consultancies, marketing agencies, staffing firms, software development shops, and professional services companies. What they build or sell is expertise, solutions, and talent. Companies like First Achieve provide "sector specific recruitment," Tangent International ensures "talent flows around the globe," and YY Group delivers "practical sales results with real impact." They're in the business of connecting, consulting, and closing deals.
These companies cluster in the scaling phase, typically between 11-200 employees. Very few are early-stage startups or massive enterprises. Most have moved past the survival stage but haven't plateaued. They're in that challenging middle zone where manual prospecting becomes unsustainable but they lack the massive sales teams of Fortune 500s. The employee counts, the "growing" language in their bios, and funding stages (mostly Series A/B when mentioned) all point to this growth inflection point.
A salesperson should understand that Cognism's typical customer is a B2B service provider in active growth mode who lives or dies by their pipeline. They're selling intangible services that require identifying and reaching the right decision-makers. Their biggest challenge isn't marketing their service, it's consistently finding qualified prospects to fill their sales pipeline. They value tools that deliver immediate, measurable ROI.
📊 Who in an organization decides to buy or use Cognism?
Source: Analysis of 100 job postings that mention Cognism
Job titles that mention Cognism
i
Based on an analysis of job titles from postings that mention Cognism.
Job Title
Share
Business Development Representative
23%
Director of Sales
14%
Director of Revenue Operations
10%
Sales Operations Specialist
7%
My analysis shows that Cognism purchasing decisions primarily come from revenue operations leaders (24%) and sales leadership (24%), with about half being individual contributors in sales development roles (23%). Directors of Revenue Operations, Sales Operations Specialists, and Heads of Marketing Technology are the ones evaluating and implementing Cognism as part of their MarTech stack. Their strategic priorities center on pipeline generation, lead qualification, and GTM efficiency. These leaders are building scalable demand engines and optimizing their technology ecosystems.
Day-to-day users are predominantly Business Development Representatives and Sales Development Representatives who leverage Cognism for prospect list creation, contact enrichment, and outbound campaign execution. I noticed practitioners use it alongside sales engagement platforms like Outreach and SalesLoft, CRMs like Salesforce and HubSpot, and competitors like ZoomInfo and Apollo. The tool supports workflows around account research, multi-channel prospecting, and building targeted contact lists by sector or persona.
The pain points reveal a consistent theme around data quality and efficiency. Companies want to "create sector-focused prospect lists," "enrich target account and contact lists," and "identify prospects' needs" more effectively. Multiple postings emphasize the need to "generate high-quality sales-ready leads" and "drive predictable, high-quality pipeline creation." Organizations are clearly seeking to reduce time spent on manual research and improve the accuracy of their targeting to accelerate revenue growth and optimize conversion rates across the funnel.
🔧 What other technologies do Cognism customers also use?
Source: Analysis of tech stacks from 182 companies that use Cognism
Commonly Paired Technologies
i
Shows how much more likely Cognism 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 Cognism users are clearly B2B companies with aggressive outbound sales strategies and mature marketing operations. The overwhelming presence of HubSpot tools across the stack (especially at 233x more likely for App Marketplace integrations) tells me these companies have invested heavily in an integrated CRM ecosystem and are serious about sales and marketing alignment. The LinkedIn Ads correlation reinforces this, showing they're targeting professional audiences with paid campaigns while simultaneously prospecting those same accounts.
The combination of Cognism with HubSpot Marketing Hub and LinkedIn Ads reveals a coordinated account-based marketing approach. These companies are likely using Cognism to identify and enrich prospect data, then feeding that information into HubSpot to orchestrate multi-channel campaigns while running parallel LinkedIn advertising to warm up those same accounts. The HubSpot Conversations tool appearing 58x more often suggests they're also focused on real-time engagement, probably routing qualified prospects directly to sales conversations. The presence of Rollbar and Atlassian StatusPage is particularly interesting because these are developer-focused reliability tools, which tells me many Cognism users are likely SaaS companies that need to maintain uptime and quickly address technical issues for enterprise clients.
The full stack screams sales-led growth with sophisticated marketing support. These aren't early-stage startups experimenting with tools. They're established B2B companies, probably in the growth or scale-up phase, with dedicated sales development teams that need constant pipeline fuel. The infrastructure monitoring tools suggest they're serving enterprise customers who demand reliability.
A salesperson approaching Cognism's typical customer should understand they're talking to a company that already values data quality and sales efficiency. These prospects aren't learning what lead enrichment is. They're likely evaluating Cognism against competitors or looking to upgrade from a less capable solution. The conversation should focus on data accuracy, integration capabilities, and ROI rather than basic education.