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Platform overview

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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

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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Gain instant insight into your digital experience with pre-designed dashboard templates.

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Resources

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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.Continuous Product DesignThe approach to building better products faster.

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

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Quantitative Data

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What is quantitative data?

Quantitative data is numerical data that can be measured, counted, and compared. In digital analytics, it captures what is happening across your experience, such as conversion rates, error frequency, session volume, and revenue impact.

It helps teams understand performance at scale by showing how often something occurs, how much it affects the business, and how it changes over time. Quantitative data is typically structured and easy to analyze using metrics, dashboards, and statistical methods.

What are key characteristics?
  • Measurable: Quantitative data is expressed in numbers, such as percentages, counts, or averages.
  • Scalable: It can be collected across thousands or millions of users with consistency.
  • Structured: It fits into reports, dashboards, and models that make comparison straightforward.
  • Objective: It focuses on observable outcomes rather than interpretation or opinion.
What are examples of quantitative data?
  • Conversion rate dropping from 4.2% to 2.9% after a product update
  • 68% of users abandoning checkout at a specific step
  • Page load time increasing by 800 milliseconds
  • An NPS score of 34 for a customer segment
  • 40% of users who hit an error do not return
Why does quantitative data matter?

Quantitative data helps teams:

  • Measure performance: Understand how products, features, or journeys are performing over time.
  • Identify problems: Detect where issues are happening in funnels, journeys, or experiences.
  • Prioritize impact: Size opportunities and focus on changes that will drive the most business value.
  • Track progress: Validate whether changes improve key metrics like conversion, engagement, or retention.
When should you use quantitative data?

Quantitative data is most useful when you need to:

  • Measure what happened
  • Compare performance across segments or time periods
  • Track trends and changes
  • Prioritize based on scale or impact