Companies that use Posthog Heatmaps

Source: Analysis of Linkedin bios of 10,177 companies that use Posthog Heatmaps

Looking at these companies, I noticed PostHog Heatmaps users are predominantly digital-first businesses building software products, platforms, or online marketplaces. They're creating SaaS tools, AI applications, e-commerce sites, and customer-facing web platforms where understanding user behavior is critical. Many are B2B software companies (like Uniform, Stacker, Tonkean), marketplace platforms (Metrobi, Rated People, Burket), or consumer-facing digital services (Beducated, Rule, Freedome). What strikes me is how many are building something meant to be used frequently, not just visited once.

Stage-wise, these are overwhelmingly early to growth-stage companies. I counted 35 companies explicitly listing pre-seed, seed, or Series A funding, with funding amounts typically between $500K and $10M. Employee counts cluster heavily in the 2-10 and 11-50 ranges. Even companies without stated funding details show growth-stage signals through phrases like "rapidly growing" or "expanding." The few larger companies (Safeguard Global, SERVPRO, Stanza Living) are exceptions rather than the rule.

Source: Analysis of tech stacks from 10,177 companies that use Posthog Heatmaps

I noticed that companies using Posthog Heatmaps are deeply committed to the Posthog ecosystem, with the most correlated tools being other Posthog products. This tells me these are product-led companies that have consolidated their analytics and experimentation stack into a single platform rather than stitching together multiple vendors. They value having heatmaps, session recordings, feature flags, and user surveys all in one place, which suggests they prioritize speed and integration over best-of-breed point solutions.

The correlation pattern is striking. Companies using Posthog Heatmaps are over 1000x more likely to use Session Recording and Feature Flags from the same platform. This makes perfect sense as a workflow: they watch session recordings to see where users struggle, examine heatmaps to understand interaction patterns, then use feature flags to test solutions and deploy changes gradually. The high correlation with User Surveys adds the qualitative layer, letting them ask users directly about pain points they observe in the behavioral data. This is a complete product intelligence loop.

My analysis reveals these are product-led growth companies, likely in the growth stage rather than early startup or enterprise. The presence of Posthog Enterprise among 88 companies suggests some have scaled enough to need advanced features, but the overall pattern points to startups and mid-market companies moving fast. They're not sales-led organizations that would rely heavily on CRM data. Instead, they're letting product usage drive decisions and probably offering free trials or freemium models where product analytics directly inform conversion optimization.