We detected 388 customers using Maze, 83 companies that churned or ended their trial, and 15 customers with estimated renewals in the next 3 months. The most common industry is Software Development (8%) and the most common company size is 51-200 employees (24%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
About Maze
Maze provides a user research platform that enables designers, product managers, and researchers to run interviews, prototype tests, usability studies, and surveys to collect actionable insights at the speed of product development.
๐ง What other technologies do Maze customers also use?
Source: Analysis of tech stacks from 388 companies that use Maze
Commonly Paired Technologies
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Shows how much more likely Maze 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 Maze users are customer-obsessed SaaS companies with sophisticated marketing operations and a strong commitment to understanding user behavior. The combination of HotJar, Qualtrics, and Maze itself tells me these companies are deeply invested in both quantitative and qualitative research. They're not just tracking metrics but actively trying to understand the "why" behind user actions. The presence of Iterable and Salesforce Marketing Cloud suggests they're running complex, multi-channel customer engagement programs at scale.
The pairing of Maze with HotJar is particularly telling. These companies want the complete picture: HotJar shows them what users do on their site through heatmaps and recordings, while Maze lets them validate design decisions and gather structured feedback before launch. Adding Qualtrics into the mix means they're probably running enterprise-level research programs with multiple feedback loops. The Contentstack correlation suggests these are companies managing sophisticated content operations across multiple properties, likely with global reach or complex product portfolios.
My analysis shows these are primarily product-led or hybrid growth companies, probably Series B and beyond. The investment in both research tools and marketing automation platforms indicates they've moved past early product-market fit and are now optimizing conversion funnels and user experience at scale. They're data-driven but recognize that analytics alone don't tell the full story. The presence of Decagon AI for customer support suggests they're handling significant support volume and looking for efficiency gains.
๐ฅ What types of companies is most likely to use Maze?
Source: Analysis of Linkedin bios of 388 companies that use Maze
Company Characteristics
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Shows how much more likely Maze 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
Company Size: 1,001-5,000
15.8x
Company Size: 201-500
2.9x
Company Size: 51-200
2.0x
Country: GB
1.9x
Country: US
1.5x
I noticed that Maze users span an incredibly wide range of industries and business models, but they share a common thread: they're building or delivering experiences that require understanding how people interact with them. These aren't just tech companies. I see financial services firms like Creditas and January transforming how people access credit, healthcare providers like Parsley Health reimagining patient care, travel companies like Atlas Ocean Voyages and InsideJapan Tours crafting immersive experiences, and retailers like Blurb and Artifact Uprising helping customers create personalized products. Many are B2C companies where user experience directly impacts revenue.
The company maturity varies dramatically. I see early-stage startups like Upstream (pre-seed, 10 employees) and Monet alongside massive enterprises like CMA CGM (160,000 employees) and the Commonwealth of Massachusetts (14,000+ employees). However, most cluster in the growth stage: 50-500 employees with some funding but not yet massive scale. Many are Series A through C, or bootstrapped but expanding rapidly.
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