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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.

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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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Funnel Analytics

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What is funnel analytics?

Funnel analytics is a method of tracking and analyzing a specific sequence of steps a user takes to complete a goal on a website or mobile app. This progression is called a "funnel" because the number of users naturally shrinks at each stage—such as moving from browsing a product page, to adding an item to a cart, to completing a purchase. By measuring the conversion and drop-off rates at each distinct step, teams can pinpoint exactly where users lose interest or encounter friction.

What are key aspects of funnel analytics?

  • Step-by-step conversion rates: Measuring the exact percentage of users who successfully move from one predefined action to the next.
  • Drop-off identification: Mapping out the specific points where users exit the sequence before reaching the final goal.
  • Friction indicators: Uncovering behavioral patterns—like repetitive clicking or page scrolling—that highlight where users face confusion or technical difficulties during a flow.
  • Time-to-convert tracking: Analyzing how long it takes a user to complete the entire funnel sequence from the moment they enter the first step.

What are the benefits of funnel analytics?

  • Higher conversion rates: Pinpointing and smoothing out a single broken step in a critical flow can immediately increase the volume of completed sales or signups.
  • Data-driven prioritization: It shows teams exactly which page updates will deliver the highest business value, removing guesswork from the design process.
  • Improved user experiences: Eliminating unnecessary form fields or confusing navigation paths makes the product easier and faster for customers to use.
  • Targeted audience insights: Allows teams to see if different customer groups (like mobile vs. desktop users) struggle with different parts of the same flow.

What are examples of funnel analytics practices?

  • Auditing checkout steps: Breaking down a four-step purchasing process to see if users are abandoning the funnel on the shipping page or the payment options screen.
  • Optimizing account registration: Tracking new signups to find out if a specific security step or form field is causing users to close the app.
  • Evaluating marketing campaigns: Measuring how many users who click a promotional banner actually finish the multi-step onboarding process.
  • Analyzing search-to-buy paths: Reviewing the customer route from typing a keyword into a search bar to successfully completing a transaction.

How does Quantum Metric support funnel analytics?

Quantum Metric enhances conversion tracking by combining Funnels with real-time Dashboards. Because the platform utilizes Autocapture, teams can instantly build funnels for any user flow without waiting for engineering to tag individual pages or buttons. By pinning these funnels to a shared team dashboard, product managers can continuously monitor conversion trends over time and spot sudden drop-offs the moment they occur.