Clearbit
enriches B2B customer and lead data in real time by appending over 100 attributes like company size, industry, revenue, and job titles to CRM records, enabling sales and marketing teams to personalize outreach, score leads, and identify website visitors.
๐ฅ What types of companies is most likely to use Clearbit?
Based on an analysis of Linkedin bios of random companies that use Clearbit
Company Characteristics
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Shows how much more likely Clearbit 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 B
139.3x
Funding Stage: Series A
40.7x
Funding Stage: Seed
11.6x
Industry: Software Development
10.7x
Industry: Technology, Information and Internet
4.7x
Industry: Advertising Services
2.6x
I noticed that Clearbit's typical customers are B2B software and technology companies building tools for other businesses. These aren't consumer apps. They're creating platforms for sales teams, developer tools, data infrastructure, marketing automation, security solutions, and enterprise software. Many are in what I'd call "picks and shovels" territory: companies like Sourcegraph building code intelligence platforms, Modern Treasury handling payment operations, or BigID managing data security. They're selling to other companies' operations teams, not to end consumers.
The language these companies use reveals a consistent pattern. They position themselves as solving complexity and driving efficiency. I see phrases like "simplifies the complex process," "streamline workflows," "eliminate manual work," and "automate" appearing constantly. They talk about being "the platform" or "the operating system" for something specific. Many emphasize speed and scale together: "ship faster," "scale without compromise," "generate more with existing budgets." There's also a strong emphasis on being developer-friendly or having "modern APIs" and "intuitive interfaces." The word "empower" shows up repeatedly, suggesting they see themselves as enablers rather than replacements.
These companies cluster heavily in the growth stage. About 60% appear to be Series A through Series C funded companies, typically with 50-200 employees. They've found product-market fit and are scaling. There's a smaller segment of larger companies (500+ employees) and another group of very early-stage companies (under 20 people), but the sweet spot is clearly growth-stage B2B SaaS. The funding amounts tell the story: lots of $15M-$50M rounds, which signals companies past initial validation but still in expansion mode.
A salesperson should understand that these customers are in the messy middle of scaling. They have revenue and customers, but they're trying to professionalize their go-to-market operations. They need data enrichment because they're moving upmarket, expanding sales teams, and can't rely on manual research anymore. They value tools that integrate easily and don't slow them down.
๐ Who in an organization decides to buy or use Clearbit?
Based on an analysis of job postings that mention Clearbit
Job titles that mention Clearbit
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Based on an analysis of job titles from postings that mention Clearbit.
Job Title
Share
Director of Marketing
19%
Director of Revenue Operations
13%
Revenue Operations Manager
9%
Director of Sales
7%
My analysis shows that Clearbit buyers are concentrated in marketing and revenue operations leadership roles. Directors of Marketing account for 19% of postings, Revenue Operations roles (Directors and Managers combined) represent 22%, and Directors of Sales add another 7%. These leaders are responsible for building what multiple postings call a "demand engine" or "revenue factory," prioritizing pipeline generation, lead qualification, and cross-functional GTM alignment. They're buying Clearbit to solve data enrichment and lead routing challenges at scale.
The hands-on users are marketing operations specialists, SDRs, growth marketers, and RevOps analysts who work with Clearbit daily for contact enrichment, account-based marketing, and lead scoring. I noticed practitioners using Clearbit alongside tools like Apollo, ZoomInfo, HubSpot, and Salesforce to "enrich prospect data," "maintain data hygiene," and "build comprehensive prospect lists with accurate contact information." The workflows center on automated lead routing, behavioral scoring, and multi-channel outbound sequencing.
The core pain points revolve around data quality and operational efficiency. Companies want to "eliminate duplicates, standardize formats, and ensure data consistency," "reduce sync errors," and achieve "95%+ enrichment completeness." One posting emphasizes the need to "verify and validate email addresses and contact information," while another seeks to "maintain CRM integrity" through enrichment. The recurring goal is transforming messy data into "qualified, high-intent pipeline" that sales teams can act on immediately.
๐ง What other technologies do Clearbit customers also use?
Based on an analysis of tech stacks from companies that use Clearbit
Commonly Paired Technologies
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Shows how much more likely Clearbit 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 Clearbit users are running sophisticated B2B demand generation operations with a heavy focus on account-based marketing and sales conversion. This isn't a random assortment of tools. These companies are building deliberate systems to identify anonymous website visitors, qualify them in real-time, and route high-value prospects directly to sales reps. The pattern screams revenue operations maturity.
The pairing with tools like RB2B and Apollo.io's visitor tracking makes perfect sense. Clearbit enriches company and contact data, but you need visitor identification tools to know who's actually on your site right now. Then Qualified and Chili Piper enter the picture to instantly book meetings with those identified visitors while they're still warm. It's a complete funnel from anonymous traffic to booked demo. The Metadata.io correlation is particularly telling because it's one of the most advanced ABM advertising platforms out there. These companies are running targeted ad campaigns to specific accounts, then using Clearbit to enrich the data when those accounts visit their site.
The full stack reveals these are sales-led B2B companies, likely in the growth stage where they've proven product-market fit and are now scaling revenue operations. They're not product-led because they're investing heavily in human-assisted conversion with tools like Chili Piper for meeting scheduling. They have the budget for premium tools and the operational sophistication to integrate multiple platforms into cohesive workflows. Navattic's presence suggests they're using interactive product demos rather than traditional trial experiences.
A salesperson should understand that Clearbit's typical customer already thinks in terms of tech stacks and integrated workflows. They're not buying point solutions. They're looking for tools that fit into an existing revenue architecture, and they'll evaluate Clearbit based on its APIs, integrations, and data quality rather than standalone features.