Common Room
provides an AI-powered customer intelligence platform that captures buying signals from over 50 sources including product usage, website activity, social media, and community engagement, then uses waterfall enrichment and identity resolution to identify prospects and accounts. The platform enables sales and marketing teams to prioritize accounts, automate outreach, and convert prospects through AI-powered activation agents.
๐ฅ What types of companies is most likely to use Common Room?
Based on an analysis of Linkedin bios of random companies that use Common Room
Company Characteristics
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Shows how much more likely Common Room 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
342.6x
Funding Stage: Series A
113.0x
Funding Stage: Seed
20.8x
Industry: Software Development
18.5x
Industry: Technology, Information and Internet
10.9x
Company Size: 51-200
2.9x
I noticed Common Room's customers are predominantly B2B software companies building tools for other businesses. These aren't consumer apps. They're creating infrastructure for developers, security platforms for enterprises, data management systems, AI-powered workflows, and vertical SaaS for specific industries. Many are API-first platforms or offer embedded solutions that integrate into their customers' tech stacks. There's a heavy concentration in developer tools, cybersecurity, data infrastructure, and business operations software.
What struck me most is how these companies position themselves around transformation and empowerment. They consistently describe themselves as helping customers "build faster," "accelerate," "streamline," and "simplify." I saw phrases like "purpose-built," "AI-powered," and "the only" repeated across dozens of bios. Companies love claiming to be "the leading" or "industry-leading" in their category. Terms like "zero trust," "end-to-end," "real-time," and "single source of truth" appear constantly. There's a shared vocabulary around removing friction and giving customers control.
These are primarily growth-stage B2B companies. My analysis shows most have 50-200 employees and have raised Series A through C funding. They're past the scrappy startup phase but still scaling aggressively. Many mention specific enterprise customers by name to establish credibility. The funding amounts cluster around $15-50M, suggesting they've proven product-market fit and are now focused on expansion. A handful are larger enterprises or post-Series C, but the sweet spot is clearly companies in that rapid growth phase.
A salesperson should understand that Common Room's customers are technical, sophisticated buyers who value developer experience and care deeply about their own community engagement. These companies are building platforms that require active user communities, whether that's developers implementing their APIs, security teams collaborating on threat intelligence, or product teams sharing best practices. They need to understand and activate their users to drive adoption and retention.
๐ Who in an organization decides to buy or use Common Room?
Based on an analysis of job postings that mention Common Room
Job titles that mention Common Room
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Based on an analysis of job titles from postings that mention Common Room.
Job Title
Share
Digital Marketing Specialist
7%
Director, Revenue
6%
Vice President, Marketing
4%
Director, Sales
4%
My analysis shows Common Room is primarily purchased by revenue and marketing leaders in B2B SaaS companies. Directors of Revenue Operations (6%), VPs of Marketing (4%), and Directors of Sales (4%) represent the decision-makers, while the 21% in other categories includes Head of Marketing, Head of GTM Engineering, and SVP Marketing roles. These buyers are focused on pipeline generation, reducing cost per opportunity, and building scalable go-to-market systems that connect customer intelligence with automated workflows.
The day-to-day users span a broader range of practitioners. I noticed Community Managers (4%), Digital Marketing Specialists (7%), and GTM Engineers working hands-on with the platform. They're using Common Room alongside tools like 6sense, DemandBase, Gong Engage, and SalesLoft to track buying signals, engage community members, and automate outreach. Several postings mention building systems that "capture every buying signal" and "match signals to real people and accounts," indicating Common Room serves as a central hub for intent data and customer intelligence.
The core pain point I see is fragmentation. Companies repeatedly mention struggling with "siloed point solution vendors, bloated tech stacks, and unactionable intent data." Multiple roles focus on creating "automated prospecting playbooks," "intent-based auto outbound programs," and systems to "identify and leverage growth opportunities throughout the funnel." The goal is clear: teams want to consolidate customer signals from community activity, product usage, and third-party sources into a single platform that enables "personalized outreach at scale" and helps them "reach the right person with the right context at the right time."
๐ง What other technologies do Common Room customers also use?
Based on an analysis of tech stacks from companies that use Common Room
Commonly Paired Technologies
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Shows how much more likely Common Room 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 Common Room have built tech stacks centered around community-led growth and product-led strategies. The presence of tools like Koala (product analytics) and Hockeystack (marketing attribution) alongside Common Room tells me these are companies treating community engagement as a core channel, not an afterthought. They're tracking how community interactions drive pipeline and revenue, which suggests a sophisticated go-to-market approach that blends community signals with traditional demand generation.
The pairing with Ashby is particularly revealing. This modern ATS appears 674 times more often in these stacks, which means Common Room users are high-growth companies doing serious hiring. They need talent infrastructure that matches their modern go-to-market motion. Similarly, Vector.co appearing 1011 times more often makes perfect sense because it helps manage developer relations and technical community programs. These companies aren't just watching community activity, they're actively orchestrating it. The Hockeystack correlation suggests they're connecting community touchpoints to revenue outcomes, proving ROI on community investments rather than treating it as a vanity metric.
My analysis shows these are predominantly product-led growth companies in the Series A to Series C range. They're technical products with developer or practitioner audiences, which explains why they invest heavily in community. They're not purely sales-led because they're using community and product signals to identify intent rather than relying solely on traditional outbound. The combination of attribution tools, community platforms, and modern recruiting software points to fast-growing B2B SaaS companies building competitive moats through community.
A salesperson should understand that Common Room's typical customer is metrics-driven and expects to prove community ROI. They're likely already doing community work but struggling to connect it to pipeline. They value modern, integrated tools and are probably replacing spreadsheets or duct-taped solutions. These buyers think in terms of growth systems, not point solutions.