We detected 2,346 customers using Testrail, 334 companies that churned or ended their trial, and 24 customers with estimated renewals in the next 3 months. The most common industry is Software Development (30%) and the most common company size is 51-200 employees (38%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
About Testrail
Testrail provides an AI-driven test management platform that centralizes test planning, execution, and tracking to streamline software testing processes and deliver visibility into QA operations. The platform integrates with DevOps tools and enables teams to orchestrate testing workflows while ensuring traceability from requirements to defects.
📊 Who in an organization decides to buy or use Testrail?
Source: Analysis of 100 job postings that mention Testrail
Job titles that mention Testrail
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Based on an analysis of job titles from postings that mention Testrail.
Job Title
Share
QA Engineer
37%
Director, Quality Assurance
30%
Director, Information Technology
7%
Vice President, Engineering
3%
My analysis shows that TestRail purchasing decisions are primarily made by Director-level Quality Assurance leaders (30%), with IT Directors (7%) and Engineering VPs (3%) also holding budget authority. These leaders are focused on scaling quality processes, implementing automation frameworks, and establishing metrics-driven testing practices. They're hiring for teams ranging from 10 to 25+ QA professionals and emphasizing strategic initiatives like CI/CD integration, test automation adoption, and quality governance across distributed teams.
The day-to-day users are predominantly QA Engineers (37% of postings), who use TestRail for test case management, defect tracking, and test execution reporting. These practitioners work across manual testing, automation frameworks, API testing, and regression suites. They collaborate with developers, product managers, and stakeholders while managing test documentation, tracking defects in systems like Jira, and executing comprehensive test plans for web, mobile, and backend services.
The pain points I found center on scaling quality at speed. Companies repeatedly mention needs for "comprehensive test strategies," "end-to-end quality engineering," and "robust QA processes." One posting emphasizes "delivering high-quality software at speed" while another seeks to "accelerate release cycles while maintaining product quality." A third highlights the challenge of "transforming testing products and solutions" through automation. These organizations are clearly struggling to balance rapid delivery with rigorous quality standards, which is exactly where test management platforms like TestRail provide critical infrastructure.
🔧 What other technologies do Testrail customers also use?
Source: Analysis of tech stacks from 2,346 companies that use Testrail
Commonly Paired Technologies
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Shows how much more likely Testrail 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 Testrail users are clearly enterprise software companies with sophisticated DevOps practices and a strong emphasis on security and compliance. The combination of Docker Hub, PagerDuty, and identity management tools like Okta and OneLogin tells me these are companies shipping software products at scale, likely serving B2B customers who demand robust testing, monitoring, and security protocols.
The pairing of Docker Hub and PagerDuty with Testrail makes perfect sense for companies running containerized applications in production. They need comprehensive test management because failures are costly, and PagerDuty ensures their teams can respond immediately when issues arise. The extremely high correlation with Okta and OneLogin is telling too. These companies are managing complex access requirements, probably because they have distributed engineering teams and need to maintain SOC 2 or similar compliance standards. Greenhouse appearing so frequently suggests these are high-growth companies actively scaling their engineering teams, which means they need formalized QA processes to maintain quality as they grow.
The full stack reveals these companies are firmly in the growth to mature stage. They've moved past scrappy startup testing into enterprise-grade quality assurance. The presence of Kandji, a device management tool, indicates they're likely supporting remote engineering teams with company-issued equipment. These appear to be product-led or sales-assisted companies serving enterprise clients who scrutinize their development practices during procurement.
👥 What types of companies is most likely to use Testrail?
Source: Analysis of Linkedin bios of 2,346 companies that use Testrail
Company Characteristics
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Shows how much more likely Testrail 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
88.3x
Funding Stage: Series B
50.0x
Funding Stage: Private equity
21.1x
Industry: Software Development
3.6x
Company Size: 1,001-5,000
3.0x
Company Size: 501-1,000
2.4x
I noticed that Testrail customers span an incredibly wide range, but they share a common thread: they're building complex digital products that require serious quality assurance. These aren't simple websites. I'm seeing companies developing sophisticated software platforms (Strapi's headless CMS, Pave's compensation intelligence), financial technology systems (Mercury, Flywire), mobile games (Voodoo, Rockbite), healthcare applications (OpenLoop, Diana Health), and enterprise SaaS solutions (Gong, Securiti). Many are in highly regulated industries where software failures have real consequences.
The maturity level varies significantly. I'm seeing seed-stage startups (Mainteny with $2.9M, Fanfix with $1.3M) alongside publicly traded giants (Expedia Group, Morgan Stanley, Telenor). However, the sweet spot appears to be growth-stage companies: Series A through C funded businesses with 50-500 employees who have proven product-market fit and are now scaling rapidly. These companies have moved past the scrappy startup phase where quality might be sacrificed for speed, but they're not so large that processes are completely rigid.
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