Companies that use Primer

Source: Analysis of tech stacks from 115 companies that use Primer

I noticed that Primer users are running sophisticated, data-driven B2B companies that are obsessed with tracking and optimizing their buyer journey at every touchpoint. The combination of intent data platforms, experimentation tools, and account intelligence software tells me these companies are treating customer acquisition like a science experiment, constantly measuring what works and iterating fast.

The pairing of Common Room with Clearbit is particularly revealing. Common Room tracks digital signals across communities, social media, and product usage, while Clearbit enriches that data with firmographic details. Together, they help companies spot buying intent early and understand who's actually behind those signals. When you add Dreamdata to this mix, you get complete attribution visibility from first touch through closed deal. These companies want to know exactly which activities drive revenue, not just engagement vanity metrics.

Statsig and Warmly make sense as the operational layer on top of this intelligence. Statsig lets them A/B test everything in their product and go-to-market motion, while Warmly turns website visitors into immediate sales conversations. This isn't spray and pray marketing. These companies are identifying high-intent accounts, running experiments to see what messaging resonates, and striking while prospects are hot.

Source: Analysis of Linkedin bios of 115 companies that use Primer

I noticed Primer's customers are predominantly B2B software and technology companies, but with a strong operational bent. These aren't just building software for software's sake. They're creating platforms that handle complex business processes: procurement orchestration, contract review automation, workforce management, sales tax compliance, medical records processing. Many describe themselves as solving "messy middle" problems or eliminating manual work. There's a clear pattern of companies building infrastructure that sits between existing systems, what one calls "unified platforms" or "operating systems" for specific business functions.

Most are firmly in the growth stage. The funding data tells part of the story: I see lots of Series B, C, and D rounds, with funding amounts typically between $20M and $200M. Employee counts cluster in the 50-200 range, though some larger players have 500-1000+. Very few are pre-seed or bootstrapped. These are companies that have found product-market fit and are scaling go-to-market operations aggressively.