We detected 4,670 customers using Posthog Session Recording. The most common industry is Software Development (24%) and the most common company size is 11-50 employees (38%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We are unable to detect churned customers for this vendor, only new customers
About Posthog Session Recording
Posthog Session Recording captures and replays real user sessions on websites and mobile apps, allowing product teams to watch exactly how users navigate, interact, click, and encounter issues. Teams can diagnose bugs, understand user behavior, and build empathy by viewing actual user experiences rather than just analyzing data.
๐ง What other technologies do Posthog Session Recording customers also use?
Source: Analysis of tech stacks from 4,670 companies that use Posthog Session Recording
Commonly Paired Technologies
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Shows how much more likely Posthog Session Recording 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 companies using Posthog Session Recording are deeply committed to the entire Posthog product ecosystem, creating an all-in-one analytics setup. The strong correlation with Framer and Intercom Widget tells me these are modern, product-led growth companies that prioritize user experience and rapid iteration. They're building digital products where understanding user behavior is mission-critical.
The pairing with Posthog Heatmaps and Feature Flags reveals a sophisticated approach to product development. These companies aren't just recording sessions to watch what went wrong after the fact. They're analyzing heatmaps to understand user patterns, then using feature flags to test solutions with specific user segments, and recording sessions to validate whether those changes worked. This is a complete feedback loop for continuous product improvement. The presence of Intercom Widget alongside session recordings is particularly telling because it suggests these companies connect qualitative user feedback with quantitative behavioral data. When a user reports confusion, they can watch the actual session to see what happened.
My analysis shows these are product-led companies in growth stage, likely Series A through C. They've moved past founder-led sales and are focused on activation, retention, and expansion metrics. The Framer correlation suggests they value fast, design-forward marketing sites that match their product sophistication. These aren't enterprise companies with long sales cycles. They're PLG businesses where users can sign up and start using the product immediately, which makes understanding in-app behavior absolutely essential.
๐ฅ What types of companies is most likely to use Posthog Session Recording?
Source: Analysis of Linkedin bios of 4,670 companies that use Posthog Session Recording
Company Characteristics
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Shows how much more likely Posthog Session Recording 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: Pre seed
78.5x
Funding Stage: Seed
39.8x
Funding Stage: Equity crowdfunding
32.8x
Industry: Internet Marketplace Platforms
28.8x
Industry: Software Development
15.0x
Industry: Data Infrastructure and Analytics
14.9x
I noticed that PostHog Session Recording users are predominantly digital-first companies building software products that require deep understanding of user behavior. These aren't traditional businesses. They're creating platforms, marketplaces, and tools where the user experience directly impacts conversion and retention. I saw everything from B2B SaaS platforms like Kaya's "AI-powered analytics platform" to consumer-facing products like Funnelish's "eCommerce sales funnels" to developer tools like Medusa's commerce platform "with a built-in framework for customizations."
The funding data tells a clear story about company stage. I counted approximately 30 companies at seed stage, another 15 at pre-seed, and many bootstrapped or undisclosed. Employee counts cluster heavily in the 11-50 range, with funding rounds typically between $1M and $5M when disclosed. These are growth-stage startups past the idea phase but not yet scaled enterprises. They have product-market fit and are now optimizing their user experience to accelerate growth.
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