Companies that use Simple Analytics

Source: Analysis of 100 job postings that mention Simple Analytics

My analysis shows that Simple Analytics is purchased by a diverse set of decision-makers, with marketing leadership (7%) representing the strongest concentration of buyers, followed by technical roles like Data Scientists (10%) and Cyber Security Analysts (9%). The heavy presence of data engineering and analytics roles suggests that organizations are investing in data infrastructure and measurement capabilities. Marketing directors are clearly focused on demonstrating ROI, with phrases like "simple analytics experience" and "data-driven decisions" appearing repeatedly across leadership positions.

The day-to-day users are overwhelmingly individual contributors in technical roles, representing 90% of the postings. Data scientists are building "simple analytics" models and "analyzing large volumes" of data. Security operations analysts are performing "technical analysis on a wide range of cybersecurity issues" with focus on "network flow data" and "simple analytics" for threat detection. Marketing associates and content managers use it for "simple analytics support" and tracking "basic post performance."

The core pain point across these roles is the need to transform complex data into actionable insights quickly. Companies repeatedly seek candidates who can provide "simple analytics and reports," create "beautifully simple analytics foundation," and deliver "simple and accurate documentation." The emphasis on simplicity paired with technical depth reveals organizations struggling to balance sophisticated analysis with accessible reporting that non-technical stakeholders can understand and act upon.

Source: Analysis of tech stacks from 510 companies that use Simple Analytics

I noticed that Simple Analytics attracts companies that are deeply committed to privacy-first infrastructure and modern web development practices. The overwhelming correlation with alternative analytics tools like Umami and Plausible tells me these aren't companies casually browsing privacy options. They're actively building their entire tech stack around user privacy as a core principle, not a compliance checkbox.

The pairing with CookieBot makes perfect sense here. Companies using Simple Analytics are collecting less invasive data, but they still need to manage consent properly. The combination suggests they're threading a needle between respecting privacy and maintaining legal compliance. The strong correlation with NextJS is equally revealing. This React framework is popular among technically sophisticated teams building fast, modern web applications. These companies have developers who care about both user experience and the ethical implications of their technology choices. Rewardful's presence indicates many are running SaaS businesses with affiliate or partner programs, suggesting B2B or prosumer products rather than consumer apps.

My analysis shows these are primarily product-led growth companies in the early to mid stage. The Vanta correlation is particularly telling since it's a compliance automation platform. These companies are mature enough to think about SOC 2 certification and enterprise sales, but they're using tools that eliminate manual overhead. They're not throwing headcount at problems. The overall stack screams efficiency and intentionality. They're building companies where the product sells itself to privacy-conscious buyers, and they're using their privacy-first approach as a competitive advantage.

Source: Analysis of Linkedin bios of 510 companies that use Simple Analytics

I noticed that Simple Analytics attracts a remarkably diverse group of companies, but what unites them is they're building or providing something digital. These aren't traditional offline businesses. They're tech platforms (like Mastodon's federated social network or Jsonify's AI web scraping), SaaS companies (neetoDesk, uman), digital agencies (STIR Advertising, Triplesense Reply), fintech operations (ALLO, Allocations), and organizations with significant online presence even if their core business is offline (hotels, real estate developers, educational institutions).

The maturity levels span an enormous range. I see pre-seed startups with 2-10 employees (Jsonify, Anyday Design, Houz'Bed) alongside public companies with thousands of employees (Skyworks Solutions, Tobii). However, the concentration seems to be in the 11-200 employee range, suggesting companies past the earliest survival stage but still in growth mode. Many have raised modest seed or Series A rounds, not massive late-stage funding.