Rage Click & Error Data
Buy and sell rage click & error data data. Frustrated clicks, dead-end taps, and UI errors that make users want to throw their phone. Negative UX signals at scale.
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Find Me This Data →Overview
What Is Rage Click & Error Data?
Rage click and error data captures frustrated user interactions on digital platforms—repeated clicks, taps on non-responsive elements, dead links, and error messages that signal user struggle. These negative UX signals are systematically tracked across websites and mobile apps to quantify digital frustration at scale. Platforms like FullStory, Fractal's AIDE, ContentSquare, and Glassbox continuously monitor these behavioral patterns to identify problem areas and assess user experience quality. This data is particularly valuable during high-traffic periods, when frustration signals spike alongside transaction volume.
Market Data
1.2 average clicks per shopping visit
Rage Clicks per Session (2023)
Source: FullStory
21% rise (0.99 to 1.2 clicks)
Year-over-Year Increase
Source: FullStory
25% increase in rage clicks
Cyber Monday Spike
Source: FullStory
19% of 304,881 sessions in e-commerce study
Sessions Labeled Frustrated
Source: arXiv (Joseph, 2025)
90% accuracy with XGBoost on frustration detection
Machine Learning Accuracy
Source: arXiv (Joseph, 2025)
Who Uses This Data
What AI models do with it.do with it.
E-commerce & Retail Optimization
Identify checkout friction, broken purchase flows, and UI problems causing cart abandonment during peak shopping periods.
Digital Experience Analytics
Monitor page-level and session-level frustration to prioritize UX improvements and measure impact of design changes.
Revenue Risk Mitigation
Detect and resolve user experience blockers before they result in lost transactions; nearly two-thirds of consumers abandon purchases after encountering problems.
Mobile App Quality Assessment
Track rage clicks, dead taps, and slow load times to improve app responsiveness and reduce user churn.
What Can You Earn?
What it's worth.worth.
Niche Dataset (Small Retailer)
Varies
Pricing depends on session volume, data granularity, and buyer requirements.
Enterprise-Scale Data (100+ Retailers)
Varies
Bulk frustration signal datasets command premium rates; FullStory and similar platforms monetize aggregated benchmarks.
Industry Vertical Datasets
Varies
Vertical-specific frustration patterns (e-commerce, fintech, SaaS) sell at higher margins.
What Buyers Expect
What makes it valuable.valuable.
Precise Event Labeling
Clear classification of rage clicks, dead clicks, error clicks, and thrashed cursor movements using industry-standard definitions.
Session-Level Context
Frustration signals tied to complete user journeys, including navigation patterns, cart state, and search behavior for root cause analysis.
Scale & Representativeness
Datasets covering high-traffic periods (holidays, promotions) with diverse user segments and behaviors for reliable frustration modeling.
Raw Clickstream Integrity
Access to timestamped event sequences (not just aggregated metrics) so buyers can engineer custom features and train ML classifiers.
Companies Active Here
Who's buying.buying.
Aggregates rage click, dead click, and error data across 100+ large retailers; sells frustration benchmarks and analytics dashboards to brands.
Uses AI-powered sensorization to extract digital experience insights and identify user behavior deviations from frustration signals.
Develops page-level and session-level frustration scores to quantify UX difficulty and prioritize optimization efforts.
Auto-detects ~30 user behaviors including rage clicks, slow load times, and JavaScript errors to flag struggle sessions.
FAQ
Common questions.questions.
What exactly is a rage click?
A rage click occurs when a user repeatedly clicks or taps on an element on a website or app, typically because it isn't responding as expected. Common triggers include slow load times, broken buttons, false link targets, and overlays that obscure content.
How is frustration measured from clickstream data?
Frustration is defined using rule-based signals: rage bursts, back-and-forth navigation (U-turns), cart abandonment, search struggles, and long wandering sessions. Machine learning models (like XGBoost and LSTM classifiers) train on these patterns to classify sessions as frustrated or non-frustrated with ~90% accuracy.
Why does frustration data spike during holidays?
High-traffic periods like Cyber Monday bring record transaction volumes, new shopper segments, and traffic spikes that stress servers, causing slower load times, broken buttons, and UI errors. FullStory data showed rage clicks increased 25% on Cyber Monday and 16% during the Thanksgiving-to-Cyber Monday window.
Who buys rage click and error data, and what do they do with it?
E-commerce platforms, retailers, fintech apps, and SaaS companies use this data to identify UX bottlenecks, prioritize fixes, and reduce revenue leakage. Nearly two-thirds of consumers abandon transactions after encountering friction, making frustration data crucial for conversion optimization.
Sell yourrage click & errordata.
If your company generates rage click & error data, AI companies are actively looking for it. We handle pricing, compliance, and buyer matching.
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