We detected 221 customers using Baremetrics. The most common industry is Software Development (40%) and the most common company size is 11-50 employees (48%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
About Baremetrics
Baremetrics provides real-time subscription analytics and insights for businesses using payment platforms like Stripe, Shopify, and Braintree, tracking key metrics including monthly recurring revenue, churn rate, and customer lifetime value.
🔧 What other technologies do Baremetrics customers also use?
Source: Analysis of tech stacks from 221 companies that use Baremetrics
Commonly Paired Technologies
i
Shows how much more likely Baremetrics 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 Baremetrics users are clearly subscription-based SaaS companies with a strong emphasis on recurring revenue optimization and partner-driven growth. The presence of tools like Rewardful and Partnerstack appearing hundreds of times more frequently tells me these companies are serious about building affiliate and partnership channels as core growth engines, not just side projects.
The pairing of Baremetrics with Profitwell is particularly revealing. Both are subscription analytics platforms, which suggests these companies are obsessive about understanding their metrics and likely cross-reference data sources to ensure accuracy. They're not casually tracking revenue, they're deeply analyzing churn, MRR movements, and cohort behavior. The extremely high correlation with Rewardful makes perfect sense too. If you're tracking subscription metrics that carefully, you need to attribute which partners are driving your most valuable customers. Meanwhile, Posthog Feature Flags showing up so frequently indicates these companies are running continuous product experiments, probably trying to optimize activation and retention based on the behavioral insights they're gleaning from their revenue data.
The full stack reveals product-led growth companies in their early to mid stages. The Intercom combination for both help center and widget suggests self-service support and in-app messaging, classic PLG moves. They're letting the product sell itself while using partners to expand reach. They're sophisticated enough to need proper analytics but still lean enough that partner revenue matters significantly to their growth model.
👥 What types of companies is most likely to use Baremetrics?
Source: Analysis of Linkedin bios of 221 companies that use Baremetrics
Company Characteristics
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Shows how much more likely Baremetrics 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: Seed
32.4x
Industry: Software Development
21.3x
Industry: Technology, Information and Internet
17.5x
Country: US
2.4x
Company Size: 11-50
2.3x
Country:
1.8x
I noticed that Baremetrics customers are overwhelmingly SaaS and subscription-based businesses. These companies build software products that charge recurring fees: AI tools (CalorAI, AutoNotes, Cody AI), no-code platforms (Buildfire, Apphive), content management systems (Cosmic, DropInBlog), marketing automation tools (Autobound, Instantly.ai), and business management software (Bookipi, Close). Even companies outside pure software often have subscription models, like Dwell Bible's audio app or Supernatural's VR fitness platform. The common thread is recurring revenue, not industry.
These are predominantly early to mid-stage growth companies. The employee counts cluster heavily in the 2-10 and 11-50 range, with some reaching 51-200. Funding stages are mostly Seed or Series A when disclosed, with many showing no external funding at all (likely bootstrapped). The companies boast impressive user numbers (Animaker's 15M users, Lingokids' 185M downloads) but relatively small teams, suggesting they've achieved product-market fit and are scaling efficiently. Very few are mature enterprises.
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