We detected 727 customers using Mixpanel Enterprise, 15 companies that churned or ended their trial, and 30 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 (24%). Our methodology involves monitoring new entries and modifications to company DNS records.
About Mixpanel Enterprise
Mixpanel Enterprise provides enterprise-grade digital analytics designed for large organizations requiring advanced access controls, data governance, dedicated onboarding support, compliance features like SOC 2 Type II and HIPAA-ready infrastructure, and the ability to handle billions of events with sub-second query times for real-time decision-making at scale.
๐ง What other technologies do Mixpanel Enterprise customers also use?
Source: Analysis of tech stacks from 727 companies that use Mixpanel Enterprise
Commonly Paired Technologies
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Shows how much more likely Mixpanel Enterprise 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 Mixpanel Enterprise customers are predominantly product-led growth companies with sophisticated software development practices. The presence of Segment, Cursor, and Figma Organization Plan together tells me these are teams that have moved beyond startup chaos into scaling mode, where they need professional-grade tools to support multiple product teams working in parallel. They're building digital products where user behavior analytics directly drives product decisions.
The pairing of Segment with Mixpanel is particularly revealing. Companies using both have committed to a composable data architecture where customer data flows through a central pipeline to multiple destinations. This suggests they're running experiments across their entire funnel and need clean, consistent data. The extreme correlation with Bitrise and Docker Business reinforces this picture. These companies have invested in automated mobile CI/CD pipelines and containerized development environments, which means they're shipping product updates frequently and need analytics that can keep pace. UserTesting appearing so often makes perfect sense too. They're validating product changes with qualitative research before measuring the quantitative impact in Mixpanel.
The full stack reveals companies in their Series B to D stage that are definitively product-led. They've built out proper engineering and product operations infrastructure, but the tools skew heavily toward shipping and measuring product improvements rather than outbound sales or marketing automation. These teams likely have 50 to 500 employees with dedicated product, engineering, and data teams. They're past the founder-led growth phase and now optimizing conversion funnels and retention metrics systematically.
๐ฅ What types of companies is most likely to use Mixpanel Enterprise?
Source: Analysis of Linkedin bios of 727 companies that use Mixpanel Enterprise
Company Characteristics
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Shows how much more likely Mixpanel Enterprise 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
Industry: Software Development
6.4x
Company Size: 1,001-5,000
5.7x
Company Size: 501-1,000
4.4x
Company Size: 201-500
1.6x
Country: GB
1.1x
I noticed that Mixpanel Enterprise customers span a fascinating range of digital-first businesses, but they share a common thread: they're all deeply invested in understanding user behavior. These companies build consumer-facing digital products like meal kit services (HelloFresh, Factor, Green Chef), fintech apps (Bitso, Pockit, Narmi), health tech platforms (Eleos Health, Sword Health, Ada Health), and subscription services (Scribd, FabFitFun). They're not selling widgets. They're running complex digital experiences where every click, conversion, and drop-off point matters financially.
These are predominantly growth-stage companies. I saw lots of Series B and C funding rounds, employee counts in the 200-500 range, and companies describing rapid expansion. There are some mature enterprises (ASOS, MongoDB, Disney Star) and a handful of earlier-stage startups, but the sweet spot is clearly companies that have found product-market fit and are now scaling aggressively. They've moved past basic analytics needs and require enterprise-grade tools to understand increasingly complex user journeys.
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