We detected 70,768 customers using HotJar and 1,658 customers with estimated renewals in the next 3 months. The most common industry is Retail (17%) and the most common company size is 11-50 employees (28%). 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 HotJar
HotJar provides visual behavior analytics and user feedback tools including heatmaps, session recordings, surveys, and feedback widgets to help product teams understand how users interact with websites, identify friction points, and optimize user experience and conversion rates based on real user data rather than assumptions.
📊 Who in an organization decides to buy or use HotJar?
Source: Analysis of 100 job postings that mention HotJar
Job titles that mention HotJar
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Based on an analysis of job titles from postings that mention HotJar.
Job Title
Share
Director of Marketing
19%
Head of Marketing
13%
Director of Product Design
11%
Director of Digital Marketing
9%
My analysis shows that Hotjar buyers are predominantly marketing and product leaders, with Directors of Marketing (19%), Heads of Marketing (13%), Directors of Product Design (11%), and Directors of Digital Marketing (9%) making up the core purchasing audience. These leaders are hiring for conversion rate optimization, web experience management, and data-driven decision making. Their strategic priorities center on improving digital customer experiences, increasing conversion rates, and building experimentation cultures across their organizations.
Day-to-day users span a broader range of practitioners including CRO specialists, UX researchers, product managers, growth marketers, and web analysts. These teams use Hotjar to conduct user research, analyze behavioral data through heatmaps and session recordings, identify friction points in user journeys, run A/B tests, and optimize conversion funnels. The tool supports workflows around understanding customer behavior, validating design decisions, and translating insights into actionable improvements across websites, mobile apps, and digital products.
The recurring pain points reveal companies struggling to understand user behavior and optimize conversion. Multiple postings mention needs to "identify friction points," "improve conversion rates," "analyze user behavior," and "translate insights into actionable recommendations." One role specifically calls for "leveraging behavioral analytics to identify friction points and improve user flow," while another emphasizes "translating user data into actionable insights." Companies want to move from guesswork to data-driven optimization, building experimentation frameworks that continuously improve digital experiences and drive measurable business outcomes.
🔧 What other technologies do HotJar customers also use?
Source: Analysis of tech stacks from 70,768 companies that use HotJar
Commonly Paired Technologies
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Shows how much more likely HotJar 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 HotJar users are overwhelmingly digital marketing organizations with sophisticated, multi-channel acquisition strategies. The extraordinary correlation with Google Analytics (89.5x more likely) combined with LinkedIn Ads, Facebook Ads, and Google Search Console tells me these companies are investing heavily in paid acquisition and obsessing over conversion optimization. They're not just driving traffic, they're meticulously studying what happens after the click.
The pairing of HotJar with Microsoft Clarity is particularly revealing. Both tools offer session recording and heat mapping, which suggests these companies aren't just casually interested in user behavior. They're running parallel analytics tools to validate insights and ensure they're not missing anything. When I see HubSpot Marketing Hub appearing 100x more frequently, it connects the dots: these teams are capturing behavioral insights from HotJar and feeding that intelligence directly into their marketing automation and lead nurturing workflows. The LinkedIn Ads correlation (118.7x) points to B2B focus, where understanding exactly how prospects interact with pricing pages or product demos can make or break conversion rates.
My analysis shows these are marketing-led growth companies, likely Series A through growth stage, that have moved beyond basic analytics into conversion rate optimization as a core competency. They have dedicated growth or marketing ops teams with budget for multiple tools. They're probably running 10-20+ campaigns simultaneously across different channels and need granular visibility into which landing page elements, form fields, or CTAs are causing friction.
👥 What types of companies is most likely to use HotJar?
Source: Analysis of Linkedin bios of 70,768 companies that use HotJar
Company Characteristics
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Shows how much more likely HotJar 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: Equity crowdfunding
10.3x
Funding Stage: Series A
8.8x
Funding Stage: Seed
8.4x
Country: NZ
4.1x
Industry: Retail Apparel and Fashion
3.8x
Company Size: 51-200
3.6x
I noticed that HotJar's typical users are incredibly diverse in what they sell, but they share a common thread: they're customer-facing businesses that need to understand their audience. These aren't pure B2B software companies. Instead, I see fertility clinics, dog food subscriptions, funeral services, bookstore chains, hotels, educational institutions, retail operations, and professional service providers. They're building websites where people make important decisions, whether that's booking a vacation, ordering pet supplies, finding a headset, or planning end-of-life arrangements. These companies live or die by how well their digital presence converts visitors into customers.
The size range is telling. Most cluster in the 11-200 employee range, with many explicitly in the 11-50 bracket. Very few are early-stage startups with venture funding. Instead, these are established businesses that have proven their model and are now focused on optimization. They're mature enough to have real revenue and customers, but small enough that improving conversion rates materially impacts their bottom line. The handful with funding rounds are mostly seed stage, not racing toward unicorn status.
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