We detected 16,648 customers using Intercom. The most common industry is Software Development (23%) and the most common company size is 11-50 employees (41%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
Note: We detect companies that use Intercom for any purpose, whether it's web-chat, email support, etc.
About Intercom
Intercom provides an AI customer service platform combining Fin AI Agent, which automatically resolves customer queries across channels like chat, email, and voice, with a next-generation helpdesk that equips support teams with AI-powered tools for handling complex issues efficiently.
📊 Who in an organization decides to buy or use Intercom?
Source: Analysis of 100 job postings that mention Intercom
Job titles that mention Intercom
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Based on an analysis of job titles from postings that mention Intercom.
Job Title
Share
Director of Customer Success
14%
Head of Customer Success
10%
Revenue Operations Manager
9%
Director of Product Marketing
7%
I noticed that customer-facing leadership roles dominate Intercom's buyer profile, with Directors of Customer Success (14%), Heads of Customer Success (10%), and Revenue Operations Managers (9%) leading the charge. These leaders are tasked with building scalable support operations, implementing AI-driven workflows, and driving retention metrics. Product Marketing Directors (7%) and Customer Operations Heads (6%) also feature prominently, suggesting that Intercom is purchased by teams focused on the entire customer lifecycle, from acquisition through expansion.
The day-to-day users span multiple functions. Support teams monitor customer interactions through multi-channel platforms, while Customer Success Managers track health scores and manage proactive interventions. Revenue Operations professionals configure workflows, manage integrations with HubSpot and other tools, and optimize lead routing. The postings reveal heavy emphasis on leveraging Intercom alongside automation platforms to deliver "AI-enhanced support" and "one-to-many approaches enabled by technology."
Companies are clearly seeking to achieve operational excellence at scale. I found repeated phrases like "scalable, AI-enabled, data-driven customer success experience," "90+ CSAT while maintaining strong operational efficiency," and "turn business requirements into clean, scalable workflows." These organizations want to reduce manual work, improve response times, and use customer data to prevent churn. The emphasis on metrics, automation, and cross-functional collaboration suggests buyers view Intercom as essential infrastructure for delivering exceptional customer experiences without proportionally scaling headcount.
🔧 What other technologies do Intercom customers also use?
Source: Analysis of tech stacks from 16,648 companies that use Intercom
Commonly Paired Technologies
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Shows how much more likely Intercom 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 Intercom tend to be product-driven, growth-stage B2B SaaS companies with sophisticated technical operations. The presence of Sentry (error monitoring), Linear (issue tracking), and Retool (internal tools) tells me these are engineering-led organizations that take their product quality and development velocity seriously. They're not just building software, they're building tools and workflows to build software better.
The pairing of Intercom with Retool is particularly revealing. These companies are creating custom internal dashboards and workflows, likely to help their support and success teams respond faster to customer issues using Intercom data. When you add Sentry to this mix, it suggests a seamless flow from bug detection to customer communication to internal tooling. Linear appearing so frequently reinforces this pattern, showing these teams turn customer conversations in Intercom into actionable engineering work almost immediately. Calendly's strong presence indicates they're handling significant inbound interest and need to automate meeting scheduling, probably for product demos and sales calls triggered by Intercom conversations.
The full stack reveals a product-led growth motion with strong sales assist. These companies likely offer self-serve trials or freemium models where Intercom handles initial engagement, but they're ready to bring in sales when the opportunity warrants it (hence Calendly and LeanData for routing high-value leads). They're probably Series A through Series C companies that have found product-market fit and are scaling their go-to-market operations while maintaining engineering excellence. The technical sophistication of their stack suggests teams of 50 to 500 employees.
👥 What types of companies is most likely to use Intercom?
Source: Analysis of Linkedin bios of 16,648 companies that use Intercom
Company Characteristics
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Shows how much more likely Intercom 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
69.9x
Funding Stage: Series A
58.9x
Funding Stage: Series unknown
45.2x
Industry: E-Learning Providers
24.8x
Industry: Software Development
24.2x
Country: SA
18.9x
I noticed that Intercom's customers span a remarkably diverse range of industries, but they share a common thread: they're building technology products or digitally-enabled services that require ongoing customer interaction. These aren't traditional brick-and-mortar businesses. They're SaaS platforms, fintech companies, digital agencies, healthcare tech providers, PropTech solutions, EdTech platforms, and ecommerce enablers. What strikes me is how many are in the business of connecting people to something, whether that's connecting SMEs to working capital, restaurants to customers, healthcare providers to patients, or partners to sales channels.
The funding and size data reveals a strong pattern. While there are some larger enterprises like Illumina and iHeartMedia, the majority sit in that critical growth phase between 11-200 employees. Many have raised Seed or Series A funding, indicating they've proven product-market fit and are scaling. They're past the scrappy startup phase but not yet massive corporations. They're in that messy middle where customer communication becomes complex but they can't yet afford massive support teams.
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