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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. 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.

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

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Activation Analysis

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What is activation analysis?

Activation analysis is the practice of finding and measuring the exact moment a new user realizes the core value of your digital product. This milestone is often called the "Aha! moment"—such as a user adding their first friend on a social app or completing their first transaction on an e-commerce platform. Instead of just tracking how many people download an app or create an account, activation analysis focuses on whether those new users complete the critical setup steps required to become active, long-term customers.

What are key aspects of activation analysis?

  • The activation milestone: Identifying the specific action or combination of steps that historically separates users who build a habit from those who drop out.
  • Time-to-activation: Measuring how long it takes a user to complete that milestone after logging in for the very first time.
  • Onboarding funnel conversion: Tracking new users step-by-step through the welcome tutorials and setup flows to see where they stall out.
  • Early engagement velocity: Analyzing how frequently a user interacts with the app during their first 24 to 72 hours.

What are the benefits of activation analysis?

  • Higher customer retention: Users who hit their activation milestone quickly are significantly less likely to abandon the app, directly flattening your long-term churn curve.
  • Better marketing spend: It proves which user acquisition campaigns bring in customers who actually use the product, rather than just driving empty downloads.
  • Streamlined onboarding: Pinpointing complex or unnecessary setup steps allows design teams to simplify the registration process and guide users to value faster.
  • Faster time-to-value: Shortening the path to a user’s first successful action creates a more satisfying initial experience and builds immediate brand trust.

What are examples of activation analysis practices?

  • Finding the "Aha!" moment: Reviewing historical data to see if business banking customers who upload a company logo in their first session stay subscribed longer than those who skip it.
  • Evaluating onboarding video impact: Comparing the activation rates of users who watched a welcome tutorial against a cohort that bypassed the video.
  • Spotting technical onboarding blocks: Investigating whether a bug in a smartphone app's verification screen is preventing new sign-ups from completing their accounts.
  • Testing profile setups: Analyzing a split test of an onboarding flow to see if a shorter, three-step registration layout leads to more activated accounts than a five-step layout.

How does Quantum Metric support activation analysis?

Quantum Metric helps teams measure and improve new user milestones using retroactive Funnels paired with its Segment Builder. Because the platform tracks all user interactions out of the box, product managers can build onboarding funnels to isolate the exact step where new users abandon the setup process before hitting their activation milestone. By saving these struggling, unactivated users as a specific audience segment, teams can instantly see if the drop-off was driven by a confusing layout or a silent technical error.