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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

Contact usProduct tour libraryPricing plansResourcesCase studiesGlossary
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Event Taxonomy

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What is an event taxonomy?

An event taxonomy is a structured blueprint or dictionary that defines exactly how user interactions and technical events must be named, categorized, and tracked across an organization’s digital products. When apps and websites record data, different developers might name the same action uniquely—such as one engineer logging an item purchase as item_bought while another uses checkout_complete. An event taxonomy establishes a single set of naming rules and metadata requirements, ensuring all product data remains clean, standardized, and easy for analytics tools to interpret.

What are key aspects of an event taxonomy?

  • Standardized naming conventions: Enforcing strict capitalization and spacing formats (like object-action syntax, e.g., button_click) across all software codebases.
  • Defined property schemas: Mapping out the exact extra details (metadata) that must travel with an action, such as the price or currency attached to a purchase event.
  • A centralized data dictionary: Maintaining a living master list of every event name, its description, its format requirements, and which team owns it.
  • Cross-platform alignment: Ensuring that a registration action looks identical in the data whether it was completed on an iPhone app, an Android tablet, or a web browser.

What are the benefits of an event taxonomy?

  • Clean and reliable analytics: Stops conflicting event names from cluttering your databases, giving your analytics tools an accurate, uncluttered dataset.
  • Saved engineering time: Eliminates endless internal developer debates about how to code a new feature's analytics tracking, as the rules are already laid out in the dictionary.
  • Easier team onboarding: Allows new product managers, data analysts, and designers to build accurate funnels and reports immediately without having to ask which tags mean what.
  • Unbroken tracking updates: Prevents product updates or code changes from accidentally breaking existing dashboards and conversion reporting templates.

What are examples of event taxonomy practices?

  • Structuring account signups: Enforcing a rule that all registration completions must be logged precisely as account_created along with the attribute signup_method: email.
  • Standardizing retail searches: Mapping a standard naming model for search actions across web and mobile layouts, using search_executed accompanied by the parameter query_term.
  • Auditing duplicate tags: Combing through an analytics platform to merge legacy, messy names like Click_Cart and cartBtnClick into a single standardized title.
  • Designing feature parameters: Defining that every time a user plays a tutorial video, the event video_played must include properties tracking both the video_title and percent_watched.

How does Quantum Metric support an event taxonomy?

Quantum Metric eliminates the need for manual data dictionaries through Autocapture. Instead of forcing developers to build and maintain a complex, page-by-page tracking taxonomy before launch, Autocapture tracks hundreds of behavioral and technical dimensions using a standardized out-of-the-box data structure. When unique business milestones require custom tracking, teams can use the platform's visual interface to configure custom events instantly, mapping specialized actions into clean, consistent categories without writing messy code.