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Platform overview

Learn more about Quantum Metric.

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. 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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Review platform use cases and capabilities at your own pace.

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.

See for yourself.

Schedule a personalized discussion and walkthrough of our solution.

Talk to our team.

Schedule a personalized discussion and walkthrough of our solution.

Join a regularly streamed demo of our top features and use cases.

Watch a live demo.

Join a regularly streamed demo of our top features and use cases.

Review platform use cases and capabilities at your own pace.

Browse product tours.

Review platform use cases and capabilities at your own pace.

Resources

Learn

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.

Community

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.

Read the blog

Company

About us

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.

Partner network

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

Latest news.

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

Resources

Contact usProduct tour libraryPricing plansResourcesCase studiesGlossary
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Journey Analytics

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What is journey analytics?

Journey analytics is the practice of tracking and visualizing the complete end-to-end paths users take as they navigate a website or mobile app. Instead of analyzing a single page or an isolated funnel step, journey analytics looks at the entire sequence of a user's experience—from where they land, through the loops and pages they explore, to where they finally convert or abandon. This holistic view helps teams see how different touchpoints interact and highlights where unexpected paths or roadblocks deviate from the intended design.

What are key aspects of journey analytics?

  • Omnichannel path visualization: Mapping out how users move across different device platforms—such as web, mobile apps, or self-service kiosks—during their relationship with a brand.
  • Macro and micro journeys: Having the ability to look at the massive, end-to-end picture of a customer's monthly interactions alongside the small, quick tasks they complete in a single visit.
  • Navigation loop identification: Spotting patterns where users repeatedly jump back and forth between the same two pages, signaling that they are confused or can't find what they need.
  • Intent and drop-off analysis: Evaluating why a user chose a specific path through the product and tracking the exact touchpoints that trigger them to leave the app entirely.

What are the benefits of journey analytics?

  • Uncovered design flaws: Reveals unexpected workarounds or navigation traps that users create when the app's default layout isn't intuitive.
  • Optimized marketing campaigns: Helps marketing teams see the exact paths users take after clicking a specific ad, making it easier to tailor landing pages to match user intent.
  • Smoother cross-channel transitions: Ensures that if a customer struggles on a mobile app and moves to a support channel, the business understands exactly where their digital journey failed.
  • Data-driven site redesigns: Provides UX teams with clear evidence of which pages or menus are ignored, allowing them to declutter the application with confidence.

What are examples of journey analytics practices?

  • Mapping checkout paths: Visualizing whether shoppers naturally move from a product page directly to the cart, or if they take long detours through review pages and return policies first.
  • Evaluating app updates: Monitoring how a new menu layout changes the standard navigation paths of existing users immediately after a software release.
  • Diagnosing support call triggers: Tracking the exact digital path a customer took right before giving up on the website and calling the customer service center.
  • Analyzing audience behaviors: Comparing the navigation journeys of high-value loyalty program members against first-time visitors to see what drives brand engagement.

How does Quantum Metric support journey analytics?

Quantum Metric visualizes complete user paths using Journeys paired with native Session Replay. The system automatically builds visual maps of your highest-converting paths and worst-performing drop-offs without requiring manual tags. When an unusual navigation loop or bottleneck appears on the journey map, teams can instantly pivot into a Session Replay and view Interaction Heatmaps to watch the exact visual experience of the users who went off track.