We detected 7,896 customers using Zendesk Help Center and 38 companies that churned or ended their trial. The most common industry is Software Development (18%) and the most common company size is 11-50 employees (39%). 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 Zendesk Help Center
Zendesk Help Center enables customers and employees to self-serve by providing a centralized knowledge base with articles, FAQs, and guides that can be accessed 24/7. It integrates with AI agents to surface instant answers across channels and helps agents quickly find information to resolve support tickets faster.
📊 Who in an organization decides to buy or use Zendesk Help Center?
Source: Analysis of 100 job postings that mention Zendesk Help Center
Job titles that mention Zendesk Help Center
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Based on an analysis of job titles from postings that mention Zendesk Help Center.
Job Title
Share
Technical Writer
22%
System Administrator
19%
Knowledge Management Manager
16%
Customer Support Specialist
14%
My analysis shows that Zendesk Help Center purchasing decisions are primarily made by technical operations leaders and customer support directors. The top hiring roles include Technical Writers at 22%, System Administrators at 19%, and Knowledge Management Managers at 16%. These organizations are investing in dedicated resources to build and maintain self-service infrastructure, with strategic priorities around reducing support ticket volumes, improving customer satisfaction scores, and scaling operations without proportionally increasing headcount.
The day-to-day users span multiple functions. Technical Writers create and organize help articles, ensuring content is accurate and searchable. System Administrators configure automations, integrations, and customize the platform to fit specific workflows. Customer Support Specialists use the help center to deflect incoming tickets and share resources with customers. Knowledge Management teams analyze data to identify content gaps and optimize article performance. Several postings emphasize cross-functional collaboration, with these users working alongside product, engineering, and compliance teams.
I noticed recurring pain points around content migration, searchability, and automation. Companies want to "turn technical information and data into conceptual ideas" and create "robust content and information pipeline" that makes knowledge "easily searchable and usable." Multiple postings emphasize "integrating AI tools to self deflect service contacts" and building systems that "improve agent efficiency and reduce manual efforts." The ultimate goal is scaling support operations while maintaining or improving customer experience metrics.
🔧 What other technologies do Zendesk Help Center customers also use?
Source: Analysis of tech stacks from 7,896 companies that use Zendesk Help Center
Commonly Paired Technologies
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Shows how much more likely Zendesk 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 Zendesk Help Center users are decidedly product-led SaaS companies focused on customer success and self-service at scale. The presence of tools like Amplitude for product analytics, Retool for internal tooling, and Sentry for error monitoring tells me these are software companies that prioritize user experience throughout the entire customer journey. They're building products where support isn't just an afterthought but an integrated part of the product experience itself.
The pairing of Jira Service Desk with Zendesk Help Center is particularly revealing. These companies are connecting customer-facing support directly to their engineering workflows, suggesting they treat customer feedback as product intelligence. Sentry appearing so frequently makes perfect sense alongside this because when customers report issues through the Help Center, teams can immediately trace those back to specific errors in their codebase. The Amplitude correlation shows these companies are measuring everything, including how customers interact with their support content and whether self-service resources actually reduce ticket volume.
My analysis shows these are typically growth-stage B2B SaaS companies that have moved past the founder-led support phase but haven't scaled into enterprise sales motions yet. They're product-led, relying on strong onboarding and documentation to drive adoption rather than heavy-touch sales. The Wistia presence suggests they're creating video documentation and tutorials, while Retool indicates they're building custom internal dashboards to manage support operations efficiently. These companies likely have 50 to 500 employees and are optimizing for customer efficiency rather than adding more support headcount.
👥 What types of companies is most likely to use Zendesk Help Center?
Source: Analysis of Linkedin bios of 7,896 companies that use Zendesk Help Center
Company Characteristics
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Shows how much more likely Zendesk 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: Series C
23.7x
Funding Stage: Corporate round
18.9x
Funding Stage: Undisclosed
16.6x
Country: JP
7.3x
Industry: Sporting Goods Manufacturing
7.3x
Industry: E-Learning Providers
7.2x
I noticed these companies span an incredibly diverse range of industries, but they share something crucial: they all have complex customer interactions that require self-service support. These are companies selling everything from mobility equipment and travel insurance to SaaS platforms and fashion retail. What unites them is that they need to educate, onboard, and support customers at scale. Many are B2C businesses with direct consumer relationships (restaurants, retail brands, travel services), though there's also a strong representation of B2B companies providing specialized services (compliance consulting, HR software, business intelligence).
These appear to be predominantly established, operationally mature companies rather than early-stage startups. The employee counts cluster around 11-200 people, with many in the 50-200 range. Most show no recent funding rounds, suggesting they're revenue-funded and sustainable. When funding is mentioned, it's often modest or dated. Several explicitly mention decades of operation (30+ years, 50+ years). These are companies past the scrappy startup phase, now managing real operational complexity with established customer bases.
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