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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

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.

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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.Digital Analytics FAQGet quick answers to foundational digital and product analytics questions.

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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.

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Partners & integrationsView our technology and solutions partners.Partner programOur key ecosystem of partners.

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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

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On-Site Search

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What is on-site search?

On-site search is the internal search engine tool embedded within an app or website that allows users to type in keywords to find specific products, services, or information. For digital commerce, this tool is the primary gateway for high-intent shoppers who already know exactly what they want to buy. A critical metric within this feature is the zero-result search, which indicates a mismatch between customer intent and site inventory. Analyzing these empty search sessions helps merchandisers adjust their internal search logic, fix missing keywords, or identify gaps in their overall product catalog.

What are key aspects of on-site search analysis?

  • Intent mapping: Reviewing the exact keywords and phrases users type into the search bar to understand customer vocabulary and purchasing desires.
  • Zero-result auditing: Tracking queries that return entirely empty results pages, which often flag technical search errors, missing product descriptions, or missed inventory opportunities.
  • Smart search matching: Updating backend search dictionaries to ensure common typos, regional terms, or slang (like "tennis shoes" vs. "sneakers") still lead users to the correct items.
  • Search-to-conversion tracking: Measuring the direct conversion funnel of users who interact with the search bar compared to those who browse manually.

What are the benefits of optimizing on-site search?

  • Captured hidden demand: Fixing zero-result terms ensures that motivated buyers are directed to relevant products rather than assuming the store doesn't carry them.
  • Smarter inventory expansion: Tracking frequent search terms for items you don't currently sell gives retail buyers clear, data-driven evidence on what products to stock next.
  • Enhanced user navigation: Providing quick, highly accurate search results dramatically speeds up the time-to-purchase and keeps users from leaving for a competitor.
  • Improved content tagging: Insights from popular search terms help content and product marketing teams write better, more natural titles and descriptions.

What are examples of how on-site search is analyzed?

  • Correcting formatting hurdles: Noticing that searching for a product model number with a hyphen (e.g., "AB-12") returns zero results, while searching without the hyphen works perfectly, prompting a code fix.
  • Identifying seasonal trends: Spotting a sudden mid-summer spike in searches for a winter apparel term, allowing merchandisers to update the homepage or adjust product placement.
  • Evaluating zero-result abandonment: Analyzing how many shoppers immediately close the website or app after seeing a "no items found" screen, revealing the financial cost of poor search logic.

How does Quantum Metric support on-site search?

Quantum Metric helps brands turn internal search patterns into immediate revenue opportunities. Through Dashboards, e-commerce and product teams gain a centralized, real-time look at search performance metrics, instantly isolating which exact keywords are generating zero-result screens.

To fix these broken paths without digging through endless databases, teams rely on Visible. This feature allows merchandisers and product managers to overlay behavioral analytics directly onto their live website from their browser. By visually inspecting search bars and results pages in real time, teams can quickly see if a layout bug or missing filter is causing zero-result friction, allowing them to adjust search logic and preserve high-intent sales.