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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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Schedule a personalized discussion and walkthrough of our solution.

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Join a regularly streamed demo of our top features and use cases.

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

Learn more

LoginGet a demo

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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Data Warehouse Integration

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What is data warehouse integration?

Data warehouse integration is the technical connection that links an analytics tool or operational platform directly to an enterprise cloud data warehouse (such as Snowflake, Google BigQuery, or Amazon Redshift). Instead of keeping digital product insights trapped within an isolated analytics dashboard, this integration automatically streams or exports structured interaction and performance data straight into the company's master database repository. This allows data teams to blend digital experience data with corporate financial records, CRM details, and offline data.

What are key aspects of data warehouse integration?

  • Automated data exporting: Systematically transferring structured analytics records into the data warehouse using scheduled batches or real-time streaming pipelines.
  • Unified schema mapping: Formatting digital experience metrics automatically to match the existing tables and database models inside the central warehouse.
  • High-volume throughput: Having the technical engine capability to move millions of rows of interaction metrics daily without dropping records or slowing down networks.
  • Secure credential handling: Utilizing encrypted access channels and API keys to move corporate data safely between platforms while protecting compliance rules.

What are the benefits of data warehouse integration?

  • A true single source of truth: Blends frontend web behavior with backend financial data, ending internal team arguments by giving everyone the same comprehensive view.
  • Deep data science modeling: Gives corporate data scientists access to raw behavioral metrics to build large-scale predictive churn models and lifetime value algorithms.
  • Advanced query combinations: Allows business analysts to run complex custom SQL queries that connect online user struggles directly to long-term corporate profitability.
  • Reduced tool clutter: Keeps your data team working within their preferred enterprise database workspace rather than forcing them to log into multiple separate dashboard interfaces.

What are examples of data warehouse integration practices?

  • Connecting online and offline sales: Exporting digital web browsing patterns into a warehouse to combine them with brick-and-mortar cash register histories.
  • Auditing call center drivers: Blending online session interaction data with phone support logs inside a central database to find out which web errors trigger phone calls.
  • Calculating precise acquisition ROI: Linking paid digital advertisement costs with finalized customer lifetime value records inside a shared data repository.
  • Running corporate financial reviews: Injecting quantified checkout friction values directly into executive financial models to evaluate overall revenue optimization.

How does Quantum Metric support data warehouse integration?

Quantum Metric shares experience insights with corporate repositories through its enterprise Data Streaming capabilities. This integration formats auto-captured user behaviors, technical errors, and quantified friction values into clean data blocks and streams them directly into cloud data warehouses like Snowflake or Google BigQuery. This gives data engineering teams instant access to structured digital context inside their primary database workspace.