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Quantum Metric

Features
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Ease of management
Quality of support
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User corporate size
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User industry
  1. Transportation and logistics
  2. Retail and wholesale
  3. Banking and insurance

What is Quantum Metric

Quantum Metric is a digital experience analytics platform that helps teams understand and troubleshoot customer behavior across web and mobile applications. It combines session replay, behavioral analytics, and journey analysis to support product, analytics, engineering, and customer experience workflows. The product emphasizes tying qualitative evidence (replays) to quantitative signals (events, funnels, and segments) and operationalizing insights through alerts and integrations.

pros

Strong session replay at scale

Quantum Metric provides session replay and interaction data designed for high-traffic consumer digital properties. Teams can use replays to validate issues reported by customers and to reproduce defects without relying solely on logs. The platform also supports filtering and segmentation to locate relevant sessions more efficiently than basic replay-only tools.

Journey and funnel diagnostics

The product supports funnel and journey analysis to identify where users drop off and which paths correlate with conversion or failure. It helps connect behavioral patterns to specific pages, app screens, and technical conditions. This is useful for cross-functional teams that need a shared view of experience issues beyond page-level heatmaps.

Operational workflows and integrations

Quantum Metric includes alerting and workflow features intended to move from insight to action, such as notifying teams when key metrics change or when errors spike. It integrates with common analytics, experimentation, and incident/issue management ecosystems to support triage. This can reduce manual handoffs compared with point solutions focused mainly on heatmaps or A/B testing.

cons

Enterprise-oriented pricing and setup

Quantum Metric is typically positioned for mid-market to enterprise organizations with significant digital traffic and multiple stakeholder teams. Implementation often requires coordination across analytics, engineering, and privacy/security functions. Smaller teams may find lighter-weight heatmap or basic analytics tools easier to adopt and maintain.

Data governance and privacy overhead

Session replay and behavioral capture can introduce additional privacy, consent, and data-retention requirements depending on jurisdiction and internal policies. Teams may need to configure masking, sampling, and access controls carefully to avoid collecting sensitive data. This governance work can add time to rollout compared with tools that collect only aggregated metrics.

Learning curve for broad feature set

Because the platform spans replay, analytics, and journey diagnostics, users may need training to use it effectively and to standardize workflows. Different teams can interpret metrics and segments differently without agreed definitions. Organizations may need ongoing administration to keep instrumentation, dashboards, and alerts aligned with changing product experiences.

Plan & Pricing

Plan Price Key features & notes
Tailored / Enterprise (custom packages) Contact sales / Not published Pricing is custom-built for each customer. Investment is based on digital properties (number of websites/mobile apps), session volume (data collected/analyzed), selected platform capabilities, and customer success services. Included: session replay, segmentation, autocapture, dashboards, onboarding & training, implementation, PII remediation. Add-ons available: Felix AI (Generative/Agentic AI), User Analytics, Contact Center, Data streaming.

Seller details

Quantum Metric, Inc.
Colorado Springs, CO, USA
2015
Private
https://www.quantummetric.com/
https://x.com/QuantumMetric
https://www.linkedin.com/company/quantum-metric/

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Quantum Metric

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