Uncover why your visitors aren't converting through AI-powered behavior analytics and session replay.
Mouseflow is a comprehensive behavioral analytics platform designed for the 2026 data landscape, focusing on privacy-first user tracking and automated friction detection. Architecturally, Mouseflow utilizes a lightweight JavaScript snippet that records DOM mutations rather than video, ensuring minimal impact on page load times while providing pixel-perfect session replays. In 2026, it occupies a dominant market position by integrating advanced AI 'Friction Scores' that automatically rank sessions based on user frustration indicators like rage clicks, rapid scrolling, and broken links. This allows product teams to bypass manual review and jump straight to high-impact UI bottlenecks. The platform features six distinct heatmap types, including Attention and Live Heatmaps, providing granular visibility into dynamic content performance. Its enterprise-grade infrastructure supports SOC2 Type II compliance and robust PII masking, making it a preferred choice for healthcare and fintech sectors. By bridging the gap between quantitative data (Google Analytics) and qualitative insights, Mouseflow serves as a critical diagnostic layer in the modern growth stack, enabling data-driven iteration cycles across web and mobile-responsive applications.
Uses machine learning algorithms to analyze session telemetry for signs of user distress (rage clicks, mouse thrashing).
The leading Digital Experience Intelligence platform for enterprise-scale behavioral analysis and AI-driven journey optimization.
Capture every customer interaction automatically and surface insights through AI-driven behavioral analytics.
Architecting customer intent through behavioral AI and cognitive heuristic modeling.
The AI-powered experience intelligence platform that turns user behavior into business outcomes.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Heatmap overlays that render directly on top of your live site, supporting dynamic elements like menus and sliders.
Automated tracking of interaction time, hesitation, and drop-off points for individual input fields.
Standard conversion funnel visualization enhanced with friction-event tagging at each drop-off step.
Client-side exclusion and server-side obfuscation of sensitive text elements and input fields.
Allows passing of custom variables (e.g., user_type, order_value) into the session stream for advanced filtering.
Calculates the exact amount of time users spend looking at specific page areas based on scrolling and dwell patterns.
Identifying the specific field in a 3-step checkout process causing mobile users to drop off.
Registry Updated:2/7/2026
Watch session replays of 'Form Abandoned' segments
Implement UI fix for the high-friction field
Developers unable to reproduce a 'ghost bug' reported by a customer.
High traffic but low CTA engagement on a long-form landing page.