We detected 24 customers using Pocus and 3 companies that churned or ended their trial. The most common industry is Software Development (70%) and the most common company size is 51-200 employees (48%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We only track when a company installs the Pocus tracking script on their website
About Pocus
Pocus analyzes sales data and buyer signals using AI to identify high-value opportunities, prioritize accounts, and guide sales reps on which prospects to engage and how. The platform automates research and prospecting workflows to save reps time while improving pipeline generation and conversion rates.
🔧 What other technologies do Pocus customers also use?
Source: Analysis of tech stacks from 24 companies that use Pocus
Commonly Paired Technologies
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Shows how much more likely Pocus 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 Pocus have assembled tech stacks that scream product-led growth with serious revenue operations infrastructure. These aren't traditional enterprise sales organizations. They're sophisticated B2B SaaS companies that believe in letting product usage drive sales conversations, but they've invested heavily in the operational tools to act on those signals immediately.
The pairing of Pocus with RB2B is particularly telling. Both tools focus on identifying anonymous website visitors and product users, which means these companies are obsessed with catching buying intent as early as possible. When you add Chili Piper to the mix, it becomes clear they want zero friction between signal detection and getting a prospect into a meeting. They're not letting leads sit in a queue. Zapier Enterprise appearing so frequently suggests these companies are stitching together complex workflows across multiple systems, probably routing product usage data into their CRM and triggering automated sequences based on specific user behaviors.
The full picture reveals companies at that crucial transition point where product-led growth needs sales assist. They've got enough traction that people are finding and trying their product organically, but they're mature enough to know that high-value accounts need human intervention. The presence of Ashby (modern recruiting software) and Claude for Work tells me these are well-funded, fast-growing companies that care about operational efficiency across the board. They're probably Series B or later, hiring aggressively, and have bought into the idea that AI and automation should handle repetitive work.
👥 What types of companies is most likely to use Pocus?
Source: Analysis of Linkedin bios of 24 companies that use Pocus
I noticed that Pocus customers are predominantly B2B software companies, with a strong concentration in the SaaS space. These aren't businesses selling physical products or traditional services. Instead, they build platforms and tools that other businesses use: developer infrastructure (Alchemy, DigitalOcean, Hex), workplace collaboration software (Mural, Vidyard), testing and security solutions (Tricentis, UpGuard), and specialized vertical SaaS for specific industries. Many are enabling digital transformation or modernization for their customers.
These are growth-stage companies, not early startups or mature public enterprises (with DigitalOcean being the exception). The typical employee count ranges from 50 to 1,000, with most clustering between and 500. Funding stages are predominantly Series B and C, indicating they've proven product-market fit and are scaling. Many highlight impressive customer counts (,000+ users for Vidyard, 24,000+ for Bloomerang) but aren't yet at Fortune 500 scale themselves.
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