We detected 8,266 customers using Intercom Help Center. The most common industry is Software Development (30%) and the most common company size is 11-50 employees (44%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
Note: We are unable to detect churned customers for this vendor, only new customers
About Intercom Help Center
Intercom Help Center provides a customizable knowledge base where businesses can create support articles for customers to self-serve and find help 24/7, while also powering the Fin AI Agent to automatically resolve customer questions and enabling support teams to share articles directly in conversations.
🔧 What other technologies do Intercom Help Center customers also use?
Source: Analysis of tech stacks from 8,266 companies that use Intercom Help Center
Commonly Paired Technologies
i
Shows how much more likely Intercom Help Center 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 Help Center are overwhelmingly product-led growth businesses, typically in the SaaS space. The combination of customer communication tools, product analytics, and modern project management platforms tells me these are tech-forward companies that prioritize self-service and data-driven decision making. They're building products where users can sign up and get value quickly, without needing heavy sales involvement upfront.
The pairing with Segment is particularly revealing. These companies are seriously invested in understanding user behavior across their entire customer journey. They're collecting data from multiple touchpoints and routing it to various analytics tools. When I see this combined with Amplitude, it confirms they're obsessing over product metrics like activation, retention, and feature adoption. They're not just guessing what users need help with. They're tracking exactly where people get stuck. Linear's presence alongside these tools suggests engineering teams that move fast and respond quickly to what the data shows. They're likely using insights from support conversations and product analytics to prioritize their sprint work.
The full tech stack screams product-led growth at the scaling stage. These aren't early startups still figuring things out, nor are they enterprise companies with large sales teams. They're in that sweet spot where they have real traction and need to scale support efficiently. Atlassian StatusPage appearing so frequently tells me they're mature enough to worry about uptime communication and maintaining user trust. The emphasis on self-service help content, combined with sophisticated analytics and modern development tools, shows companies that want users to succeed independently while still gathering intelligence to improve the product continuously.
👥 What types of companies is most likely to use Intercom Help Center?
Source: Analysis of Linkedin bios of 8,266 companies that use Intercom Help Center
Company Characteristics
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Shows how much more likely Intercom Help Center 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: Convertible note
40.6x
Funding Stage: Series B
33.0x
Funding Stage: Series C
31.1x
Industry: Software Development
10.8x
Industry: Internet Publishing
10.4x
Industry: E-Learning Providers
7.6x
I noticed that Intercom Help Center attracts companies operating in distinctly modern, digitally-native sectors. These aren't traditional manufacturers or offline businesses. They're predominantly software platforms, fintech companies, e-commerce retailers, travel marketplaces, and digital service providers. Many are building technology infrastructure for other businesses (B2B SaaS) or creating consumer-facing digital experiences. Whether it's Rescale's cloud computing platform, Treblle's API intelligence, or Moni's fintech lending, these companies live entirely in digital environments where customer communication happens online.
These companies span the full spectrum from pre-seed startups to publicly traded enterprises, though the sweet spot appears to be Series A through Series C growth-stage companies. I found notable concentrations at two levels: venture-backed startups with 11-50 employees navigating rapid scaling, and more established players with 200-500 employees who've achieved product-market fit but are still expanding. Even the larger enterprises in the dataset (like Bank of Ireland or First American) seem to be digital-forward divisions within broader organizations.
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