We detected 4,162 customers using MouseFlow and 108 customers with estimated renewals in the next 3 months. The most common industry is Retail (15%) 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 MouseFlow
MouseFlow provides behavior analytics that reveals why users drop off, abandon carts, or struggle on websites through session replays, heatmaps, friction detection, and form analytics. The platform tracks real user behavior to uncover usability issues and optimize conversion rates for businesses.
📊 Who in an organization decides to buy or use MouseFlow?
Source: Analysis of 100 job postings that mention MouseFlow
Job titles that mention MouseFlow
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Based on an analysis of job titles from postings that mention MouseFlow.
Job Title
Share
Digital Marketing Specialist
10%
Data Analyst
9%
Product Designer/UX Designer
8%
Director of Marketing
6%
I noticed that MouseFlow purchasing decisions span marketing operations (16%), product and UX design (15%), and analytics roles (18%). Directors of Marketing and Digital Marketing leads control budgets, while Product Managers and UX Directors champion the tool for design workflows. These buyers prioritize conversion optimization, user experience improvements, and data-driven decision making. They're building capabilities around experimentation, A/B testing, and personalization strategies.
The day-to-day users are predominantly Digital Marketing Specialists, CRO Specialists, and UX/UI Designers who rely on MouseFlow for behavioral analytics and session replay. One posting specifically mentions using MouseFlow to conduct web analysis and reporting, while another describes using it alongside tools like GA4 and VWO for testing and optimization. Web Analysts use it to analyze conversion funnels and user behavior, while Product Designers leverage it for user research and identifying friction points in customer journeys.
I found three recurring themes in the job descriptions. Companies want to reduce user friction and improve lead generation, with multiple roles tasked to optimize conversion rates and enhance engagement. They're focused on bringing best in class experiences to life for consumers through data-driven insights. Finally, organizations are building a continuous improvement, data-driven, test and learn digital marketing culture. The emphasis on experimentation, hypothesis testing, and actionable insights suggests companies buy MouseFlow to transform qualitative user behavior into quantitative business improvements.
🔧 What other technologies do MouseFlow customers also use?
Source: Analysis of tech stacks from 4,162 companies that use MouseFlow
Commonly Paired Technologies
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Shows how much more likely MouseFlow 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 MouseFlow users are heavily invested in understanding and optimizing their digital customer experience through multiple lenses. The combination of analytics tools, paid advertising platforms, and behavior tracking software tells me these are companies running sophisticated digital marketing operations where conversion optimization is critical to their business model.
The pairing with Microsoft Clarity and HotJar is particularly revealing. These companies aren't satisfied with just one behavior analytics tool. They're using multiple session replay and heatmap platforms simultaneously, which suggests they're either running extensive A/B tests across different properties or they're deeply committed to understanding every aspect of user behavior. The strong correlation with Google Search Console and Google Analytics points to companies that care deeply about their organic search presence and want to connect the dots between how users find them and what they do on site. The presence of LinkedIn Ads and Facebook Ads together indicates B2B and B2C marketing efforts running in parallel, likely testing multiple acquisition channels.
My analysis shows these are clearly marketing-led organizations, probably in a growth stage where they've found initial product-market fit and are now scaling their customer acquisition. They're spending serious money on paid ads across multiple platforms, and they're investing in the infrastructure to make those dollars work harder through conversion rate optimization. These aren't enterprise companies with long sales cycles. They're likely e-commerce businesses, SaaS companies with self-service models, or lead generation businesses where website performance directly impacts revenue.
👥 What types of companies is most likely to use MouseFlow?
Source: Analysis of Linkedin bios of 4,162 companies that use MouseFlow
Company Characteristics
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Shows how much more likely MouseFlow 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: Private equity
9.0x
Funding Stage: Non equity assistance
8.5x
Industry: Personal Care Product Manufacturing
7.5x
Funding Stage: Series A
7.0x
Industry: Health, Wellness & Fitness
6.7x
Industry: Retail Luxury Goods and Jewelry
5.5x
I noticed MouseFlow attracts a remarkably diverse set of companies that share one common trait: they all have significant customer-facing digital operations. These aren't purely software companies. They span healthcare providers managing patient portals, retail companies selling luxury goods or apparel online, B2B service firms with complex quoting systems, financial services platforms, educational institutions, and specialized manufacturers with e-commerce channels. What unites them is that their websites and digital interfaces are critical business tools, not just brochures.
These companies span the full maturity spectrum, though I noticed a concentration in the growth and established phases. There are seed-stage startups with under 10 employees, mid-sized companies in the 50-200 employee range that appear to be scaling rapidly, and mature enterprises with thousands of employees. The funding data is sparse, but when present, it ranges from pre-seed rounds to Series F. Employee counts are often in that 11-200 range, suggesting companies beyond founding stage but not yet massive corporations.
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