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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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Product Usage Analytics

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What is product usage analytics?

Product usage analytics is the practice of tracking and analyzing exactly how people interact with a software application or website once they are inside it. Instead of focusing on how users arrived at the product, usage analytics looks at what they do after they log in. This includes measuring how long users stay, how frequently they return, and which specific features they engage with most. It gives teams the visibility needed to understand true product adoption and uncover the difference between a user who signs up and a user who builds a habit.

What are key aspects of product usage analytics?

  • Feature adoption tracking: Measuring the exact percentage of your user base that discovers and regularly uses specific tools or workflows within the application.
  • Engagement frequency: Tracking metrics like daily active users versus monthly active users (DAU/MAU) to measure the product's overall "stickiness."
  • Session depth and duration: Analyzing how long users spend in the application per visit and how many core actions they complete before closing the app.
  • User journey flows: Visualizing the sequence of actions users take inside the product to see if they follow the intended design paths or find their own workarounds.

What are the benefits of product usage analytics?

  • Smarter roadmap planning: Product managers can see exactly which features are highly valued and which ones are ignored, allowing them to focus development energy on what users actually care about.
  • Cleaner user experiences: Identifying underutilized or confusing features makes it easier to remove digital clutter and simplify the app layout.
  • Better retention strategy: By finding the specific features that active, long-term customers use most, growth teams can guide new users to those high-value actions faster.
  • Proactive churn prevention: Spotting a sudden drop in usage frequency from a major customer account gives account managers an early warning sign to step in before the customer leaves.

What are examples of product usage analytics practices?

  • Evaluating a new feature launch: Monitoring a newly released dashboard widget to see if users try it once out of curiosity or repeatedly integrate it into their weekly routines.
  • Analyzing power users: Grouping your most active customers into a cohort to study their exact usage patterns and understand what makes the app indispensable to them.
  • Auditing feature retirement: Checking usage data over a six-month period to confirm that a legacy feature has zero traffic before safely deprecating it from the codebase.
  • Tracking time-to-value: Measuring how long it takes a new sign-up to complete their first core activity, then optimizing the product to shrink that timeline.

How does Quantum Metric support product usage analytics?

Quantum Metric tracks and quantifies product usage patterns through User Analytics and Journeys. By automatically mapping how cohorts move through your product over time, these features allow product teams to instantly see feature adoption rates, measure active user trends, and spot drop-offs in long-term engagement. This data pairs directly with visual session replays, making it easy to see if a feature suffers from low usage because it is mechanically broken or simply buried too deep in the menu design.