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Data

Session replayUnderstand the "why" behind customer behaviors. Segment builderSlice your audience with nested segment building. AutocaptureCapture over 300 metrics out-of-the-box.Page performanceDiscover and quantify the impact of slow pages. User analyticsUnlock better user adoption, retention, and customer journeys.Platform intelligenceOur powerful machine learning engine.Mobile app analyticsPatented mobile analytics technology.Adobe Experience Platform Connector Go live with CJA faster.

Insights

Felix AI AgenticAutonomous agents analyze every part of the customer journey.Felix AI SummarizationGen AI powered session summarization.JourneysUnderstand which paths customers are taking.Interaction heatmapsVisualize page-level clicks, scrolls, and attention.VisibleVisualize user behavior directly from your browser. DashboardsOrganize and monitor your most important data. Dashboard template libraryTemplates to improve your experience. Opportunity analysisAutomatically surface and quantify friction points.

Action

Voice of CustomerConnect feedback to behavior and take action in real time.Monitoring & alertsAlerting on aggregate behavior, frustration, and more.Data activationSeamlessly merge any data source.Data streamingSend Quantum Metric insights to your data warehouse.Data enrichmentGet greater impact with enhanced data insights.Salesforce Lightning analyticsGain visibility and understanding of Salesforce Lightning app users.Performance & overheadLightweight SDKs and tags.Security & privacyBest in class security technology and polices.

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Use Cases

Industries

RetailUnderstand shoppers’ needs faster.Financial servicesDrive digital adoption and improve satisfaction.Travel & hospitalityGrow revenue and loyalty with real-time visibility.TelcoImprove the digital-first experience.GamingUnderstand real-time player behavior.HealthcareImprove patient self-service and loyalty.

Teams

ProductUnderstand any part of the digital experience in seconds.TechnologySurface and scope customer technical friction in real-time.MarketingStrengthen your campaigns and convert more.AnalyticsAnswer the “why” behind the customer experience.CX & VoCBring together qualitative and quantitative insights.UXDeep insight into behavior, engagement, and friction.Service & supportImprove customer empathy and contact center efficiency.

Solutions

Digital analyticsMonitor, diagnose, and optimize critical experiences.Product analyticsUnderstand user behavior and drive adoption.Experience analyticsSurface pain points and quantify opportunities.Journey analyticsInsights into every touchpoint across the digital journey.Web analyticsUnderstand and report on digital performance.Employee experienceAutomatically surface critical friction on your internal apps and kiosks.Contact centerOptimize contact center experiences.AI DetectionReveal how AI agents interact with your digital experience.

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ResourcesReview expert guidance and new data. Case studiesDiscover our customer stories.Product tour libraryReview platform use cases and capabilities at your own pace. Events & webinarsJoin us for live or virtual events. BenchmarksReview the top findings from Quantum Metric aggregated platform data.BlogThought leadership, trends, and product insights.Digital Analytics FAQGet quick answers to foundational digital and product analytics questions.

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The QuadConnect with experts, converse, and be inspired.

New blog post.

AI assistants vs. agentic AI: Key differences in digital analytics.

AI assistants vs. agentic AI: Key differences in digital analytics.

Learn how understanding the distinction between AI assistants and agentic AI becomes essential for everyone working in digital experience, analytics, or strategy.

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Our storyHow Quantum Metric started, our leadership team, and how you can get involved.CareersSee what it's like to work for Quantum Metric, and available positions.NewsRead the latest announcements and news.

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Partners & integrationsView our technology and solutions partners.Partner programOur key ecosystem of partners.

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Quantum Metric Reports Record 2025 Enterprise Expansion and Agentic AI Momentum for 2026

Quantum Metric Reports Record 2025 Enterprise Expansion and Agentic AI Momentum for 2026

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Platform

Platform overviewFelix AI AgenticFelix AI SummarizationJourneysMobile app analyticsInteraction heatmapsSecurity & privacy

Industries

RetailFinancial servicesTravel & hospitalityTelcoGamingHealthcare

Teams

ProductTechnologyMarketingAnalyticsCX & VoCUXService & support

Solutions

Digital analyticsProduct analyticsExperience analyticsJourney analyticsWeb analyticsEmployee experienceContact centerAI Detection

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JavaScript Error Tracking

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What is JavaScript Error Tracking?

JavaScript Error Tracking is the automated process of monitoring, capturing, and log-monitoring front-end code failures that occur directly within a user's web browser. When an uncaught JavaScript error triggers, it can silently break critical website features like buttons, menus, or checkout forms without sending an obvious alert to the server. Effective error tracking automatically intercepts these glitches, groups them by how heavily they impact the overall user base, and provides developers with the precise context needed to perform near-instant root cause analysis and deploy a fix.

What are key aspects of JavaScript Error Tracking?

  • Automated error capture: Instantly listening for and recording unhandled runtime exceptions as they happen on the client side.
  • Impact-based grouping: Clustering identical or related error messages together so engineering teams can see which bugs are affecting the highest number of users.
  • Line-of-code mapping: Providing precise technical stack traces that point developers to the exact line of source code that failed.
  • Behavioral context linking: Pairing raw technical error logs directly with the visual user sessions to show exactly what the customer experienced when the bug occurred.

What are the benefits of JavaScript Error Tracking?

  • Instant root cause analysis: Giving engineers the exact file name, line number, and error message eliminates hours of manual troubleshooting and guesswork.
  • Minimized revenue loss: Spotting and patching broken buttons or forms quickly prevents widespread transaction failures across the site.
  • Happier engineering teams: Automating the bug-hunting process frees up developers to spend less time reproducing obscure glitches and more time building new features.
  • Flawless user experiences: Resolving silent front-end code failures ensures that interactive elements run smoothly across all browsers and devices.

What are examples of how JavaScript errors are evaluated?

  • Isolating a broken checkout button: Finding that an uncaught script error triggers every time a mobile user taps "Place Order," rendering the button completely unresponsive.
  • Catching third-party script crashes: Detecting that an external font or chat widget script fails to load, which completely freezes the main page navigation layout.
  • Uncovering form validation loops: Spotting a hidden code exception that prevents a user from submitting a signup form even after they have filled out every field correctly.

How does Quantum Metric support JavaScript Error Tracking?

Quantum Metric takes the pain out of front-end troubleshooting by automatically turning raw code exceptions into clear, actionable insights. Through Platform intelligence, the system captures uncaught JavaScript errors out of the box and intelligently groups them by user impact. Instead of forcing developers to dig through thousands of individual alerts, the platform ranks errors by how many shoppers were affected, allowing teams to instantly prioritize their most critical code fixes.

When a high-priority bug is flagged, engineers can click directly into the error to review the technical details alongside Monitoring & alerts data. The platform surfaces the exact stack trace and line of code that triggered the failure. Simultaneously, developers can open the exact Session replay tied to that specific error to watch a visual recording of the customer's struggle.