Companies that use CrazyEgg

Source: Analysis of 100 job postings that mention CrazyEgg

My analysis shows that CrazyEgg purchasers are primarily marketing leaders and digital experience executives. Directors of Marketing, Digital Marketing, and Digital Product represent about 6% each of roles mentioning CrazyEgg, while the broader category includes VPs and Senior Directors overseeing web analytics, experience optimization, and conversion strategy. These leaders are focused on transforming digital properties into revenue engines, with strategic priorities centered on data-driven decision making, funnel optimization, and improving customer journey performance.

The day-to-day users are heavily weighted toward individual contributors in digital marketing, UX research, CRO specialists, and web analysts who collectively make up the majority of mentions. These practitioners use CrazyEgg for heat mapping, session replay analysis, A/B testing, and identifying friction points in conversion funnels. They work alongside tools like Google Analytics, Optimizely, and Adobe Target to conduct user behavior analysis and implement website improvements that directly impact conversion rates and lead generation.

The pain points reveal an obsession with conversion optimization and eliminating user friction. Companies seek candidates who can "identify points of friction in the funnel and propose solutions based on data," "monitor user behavior to optimize digital experiences," and "transform web traffic into opportunity." Another posting emphasizes the need to "analyze churn reasons" and "develop solutions that address these signals before cancellation." These phrases underscore that CrazyEgg buyers are laser focused on understanding why visitors don't convert and systematically removing obstacles to purchase or signup.

Source: Analysis of Linkedin bios of 9,167 companies that use CrazyEgg

I noticed that CrazyEgg users span an incredibly diverse range of industries, but they share a common thread: they're all businesses that need to connect with customers online. These aren't pure software companies for the most part. Instead, I'm seeing property restoration firms, furniture manufacturers, healthcare providers, professional service firms, educational institutions, insurance brokers, and retailers. What ties them together is that regardless of what they actually make or do in the physical world, their website is a critical touchpoint for customer acquisition and engagement.

These are predominantly established, mature businesses rather than early-stage startups. The employee counts cluster heavily in the 11-200 range, with many companies mentioning decades of history (30+ years is common). Most show no venture funding at all, and when funding exists, it's typically modest or in the form of debt financing rather than massive venture rounds. These are profitable, sustainable businesses, not hyper-growth startups burning through capital.

Source: Analysis of tech stacks from 9,167 companies that use CrazyEgg

I noticed that CrazyEgg users are clearly marketing-led companies with sophisticated digital advertising operations. The presence of LinkedIn Ads, Facebook Ads, and especially TheTradeDesk (appearing 55 times more often than average) tells me these businesses are running multi-channel paid campaigns and need to understand exactly how that traffic converts once it hits their website. They're spending serious money to drive visitors and want to squeeze every bit of value from those clicks.

The pairing of CrazyEgg with Microsoft Clarity is particularly interesting because both are behavior analytics tools. This suggests companies aren't satisfied with a single view of user behavior. They want heat maps, session recordings, and multiple lenses on how visitors interact with their pages. The strong correlation with Google Search Console and Google Analytics shows these teams live in their data, constantly monitoring both how they're being found and what happens after visitors arrive. TheTradeDesk's presence is the most revealing signal. Companies using programmatic advertising platforms are operating at a level of sophistication where they're managing complex attribution across display, video, and native ads.

The full stack reveals marketing-led organizations that are likely past the early startup phase. They have real advertising budgets, dedicated marketing teams, and enough traffic to make behavior analytics meaningful. These aren't product-led growth companies hoping for viral adoption. They're actively buying attention and methodically optimizing the conversion path. The combination suggests they're probably in competitive markets where conversion rate improvements directly impact profitability.