Companies that use Swan

Source: Analysis of Linkedin bios of 321 companies that use Swan

I analyzed these companies and found that Swan's typical customers are B2B software and technology companies building platforms that other businesses depend on. They're not selling to consumers. They're creating infrastructure for financial services, building developer tools, automating business operations, or providing specialized SaaS solutions. Many are in fintech, but you also see heavy representation in cybersecurity, cloud infrastructure, procurement automation, and workforce management.

These are predominantly growth-stage companies. The funding data tells part of the story: most have raised Seed through Series B rounds, typically between 5 million and 50 million dollars. Employee counts cluster between 11 and 200 people. These aren't scrappy pre-product startups, nor are they mature public companies. They're in that critical scaling phase where they have product-market fit and paying customers, but they're still building out infrastructure, adding features, and figuring out operations at scale.

Source: Analysis of tech stacks from 321 companies that use Swan

I noticed that Swan users are running aggressive, modern outbound sales operations with a heavy emphasis on website visitor identification and account-based prospecting. The massive correlation with tools like RB2B, Warmly, and Vector.co tells me these companies are obsessed with capturing buying intent signals the moment someone lands on their website. They're not waiting for forms to be filled out. They want to know who's browsing and reach out immediately.

The pairing of RB2B with Warmly is particularly revealing. RB2B identifies anonymous website visitors at the company level, while Warmly takes that data and turns it into immediate sales actions. Add Midbound to the mix, which focuses on catching prospects when they're actually in-market, and you see a clear pattern. These companies are building real-time prospecting machines that react to buying signals within minutes, not days. The presence of Knock AI, which automates personalized outreach, suggests they're trying to operate this motion at scale without drowning their sales teams in manual work.

The full stack screams sales-led growth at the early to mid-stage startup level. These aren't enterprise companies with long-established processes. They're startups trying to punch above their weight class by being faster and smarter about identifying opportunities. The Salesforce App Exchange correlation confirms they're investing in CRM infrastructure, but the focus on visitor identification and intent data shows they're hunting for efficiency gains in the top of funnel, not just optimizing existing pipeline.