While Glassbox relies on a legacy, retrofitted platform, Quantum Metric is the only unified solution engineered for today’s enterprises to find, fix, and optimize digital friction with unparalleled speed and accuracy.
“Whenever we would like to use Glassbox for insights, 50% of the time I use Glassbox it’s basically focused on setup… So there’s only 50% of the time I really use Glassbox data for insights.”
Digital Specialist / Travel & Hospitality
Named a Strong Performer in the 2025 Forrester Wave™, among 10 top vendors.
Quantum Metric received the highest possible scores in the real-time analysis, alerting, mobile app deployment, analysis for technical performance, measurement, and adoption criteria. To us, the results show we're built to support complex, enterprise-wide needs— delivering faster insights, broader adoption, and a bolder roadmap with Felix AI.
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Quantum Metric provides a modern, cloud-native platform on Google Cloud that combines 100% autocapture with agentic AI (Felix AI) to surface insights instantly. Unlike Glassbox’s legacy architecture, which often relies on manual tagging and long implementation cycles, Quantum Metric offers a unified solution for web and mobile with zero-day value.
Why we're better.
Platform architecture
An archaic infrastructure designed for on-premise deployments that has been retro-fitted into SaaS environments.
A single, purpose-built platform engineered for scale on Google Cloud that can capture billions of sessions with negligible performance impact.
Our modern, cloud-native architecture is built for today's enterprise, providing the stability and performance you need without compromising on data capture.
Data capture & scalability
Relies on manual tagging for custom tracking, which requires ongoing code-level maintenance and creates data gaps.
Our patented autocapture technology provides over 300 dimensions and behaviors on day one, and allows for remote configuration to reduce the engineering burden.
We give you a complete, high-fidelity view in real time, so you won’t miss critical interactions or need pull engineering resources for manual tagging.
Time to insight
Replay summarization is fragmented and limited. It struggles to quantify insights, and actionability is limited due to summaries only being available in the p.latform
Felix AI works around the clock, providing GenAI-powered session summarization to find insights in seconds.
Our agent works autonomously to surface the "why" behind your data, so you can act on critical opportunities instantly without watching hours of replays.
Mobile app analytics
SDK implementation is reportedly lengthy and difficult, leading to a gap between web and mobile solutions. Replays often have technical issues like missing screens or poor rendering.
Our patented approach to mobile applications provides full parity across web and mobile, translating native app views into components that yield high-fidelity mobile replays.
We provide the same rich technical details for mobile as we do for the web, so you get a clear, actionable view of the entire customer journey on any device.
Journey analysis and heatmaps
Provides only surface-level insights. Features are reportedly difficult to use and provide inconsistent data, limiting holistic journey analysis.
Automatically visualizes the entire customer journey and allows teams to drill down to page-level micro-conversions with quantified impact.
Our platform gives you a clear view of the entire customer journey, so you can identify friction points and prioritize fixes based on business impact.
Enterprise operationalization
Primarily designed for technical teams to identify technical issues, which limits adoption and collaboration across the entire digital organization.
Designed for large deployments with self-service user management and permission-based roles, allowing for adoption by hundreds of users across dozens of teams.
We provide a platform for everyone—from IT to product—so your entire organization can use real-time data to drive better decisions.
Support
According to user reviews, documentation is lacking, and customer support is not timely or helpful.
Our dedicated success consultants, engineers, and account managers, paired with a fully developed customer community, ensure you get the support you need.
Our team is an extension of yours. We provide a partnership with dedicated support to ensure you achieve value from day one.
Platform architecture
An archaic infrastructure designed for on-premise deployments that has been retro-fitted into SaaS environments.
Data capture & scalability
Relies on manual tagging for custom tracking, which requires ongoing code-level maintenance and creates data gaps.
Time to insight
Replay summarization is fragmented and limited. It struggles to quantify insights, and actionability is limited due to summaries only being available in the p.latform
Mobile app analytics
SDK implementation is reportedly lengthy and difficult, leading to a gap between web and mobile solutions. Replays often have technical issues like missing screens or poor rendering.
Journey analysis and heatmaps
Provides only surface-level insights. Features are reportedly difficult to use and provide inconsistent data, limiting holistic journey analysis.
Enterprise operationalization
Primarily designed for technical teams to identify technical issues, which limits adoption and collaboration across the entire digital organization.
Support
According to user reviews, documentation is lacking, and customer support is not timely or helpful.
Platform architecture
A single, purpose-built platform engineered for scale on Google Cloud that can capture billions of sessions with negligible performance impact.
Data capture & scalability
Our patented autocapture technology provides over 300 dimensions and behaviors on day one, and allows for remote configuration to reduce the engineering burden.
Time to insight
Felix AI works around the clock, providing GenAI-powered session summarization to find insights in seconds.
Mobile app analytics
Our patented approach to mobile applications provides full parity across web and mobile, translating native app views into components that yield high-fidelity mobile replays.
Journey analysis and heatmaps
Automatically visualizes the entire customer journey and allows teams to drill down to page-level micro-conversions with quantified impact.
Enterprise operationalization
Designed for large deployments with self-service user management and permission-based roles, allowing for adoption by hundreds of users across dozens of teams.
Support
Our dedicated success consultants, engineers, and account managers, paired with a fully developed customer community, ensure you get the support you need.
Why we're better.
Platform architecture
Our modern, cloud-native architecture is built for today's enterprise, providing the stability and performance you need without compromising on data capture.
Data capture & scalability
We give you a complete, high-fidelity view in real time, so you won’t miss critical interactions or need pull engineering resources for manual tagging.
Time to insight
Our agent works autonomously to surface the "why" behind your data, so you can act on critical opportunities instantly without watching hours of replays.
Mobile app analytics
We provide the same rich technical details for mobile as we do for the web, so you get a clear, actionable view of the entire customer journey on any device.
Journey analysis and heatmaps
Our platform gives you a clear view of the entire customer journey, so you can identify friction points and prioritize fixes based on business impact.
Enterprise operationalization
We provide a platform for everyone—from IT to product—so your entire organization can use real-time data to drive better decisions.
Support
Our team is an extension of yours. We provide a partnership with dedicated support to ensure you achieve value from day one.
Schedule a personalized demo based on your business objectives.
50%
reduction in time to resolution.
By integrating their tool stack with Quantum Metric, teams were able to instantly triage customer feedback and resolve issues that were previously causing digital abandonment.
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$1.8M
in prevented loss.
By quickly identifying and resolving a critical ticket insurance error and making targeted layout changes to product pages, teams were able to prevent a significant annual loss and increase season pass sales.
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40%
increase in online sales
By identifying coupon-related friction and understanding price-sensitive customer behavior, Canadian Tire used Quantum Metric insights to re-activate high-value discounts, reduce cart abandonment, and drive revenue-impacting decisions in real time.
Learn more8 billionsessions each month.
50%of the worldwide internet users.
For most enterprise use cases, Quantum Metric is the stronger choice. Glassbox was originally designed for on-premise deployments and has since been retrofitted into a SaaS environment — an architectural legacy that affects performance, implementation complexity, and feature development velocity. Quantum Metric is purpose-built as a cloud-native platform on Google Cloud, designed from the ground up for enterprise scale, high-volume session capture, and cross-team adoption. Where Glassbox users report spending roughly half their time on setup and configuration rather than deriving insights, Quantum Metric's autocapture technology and Felix AI are designed to deliver value from day one without ongoing manual maintenance. Quantum Metric was also named a Strong Performer in the The Forrester Wave™: Digital Analytics Solutions, Q3 2025 report, receiving the highest possible scores in real-time analysis, alerting, and mobile app deployment.
The key differences between Quantum Metric and Glassbox span architecture, implementation, analytics depth, and team accessibility:
Glassbox's mobile analytics has well-documented implementation challenges. The SDK is reportedly lengthy to set up, and replays often have technical issues including missing screens and poor rendering quality — limiting the practical utility of mobile data for engineering and product teams. Quantum Metric takes a different architectural approach: its patented technology translates native app views into components, yielding high-fidelity session replays that include the same technical richness as web replays — JavaScript errors, API requests and responses, and exact screen state — across both iOS and Android. This means mobile teams get actionable data without the implementation friction Glassbox users commonly report, and without the quality gap between web and mobile analytics that forces teams to use different tools for different platforms.
Enterprises switching from Glassbox to Quantum Metric typically cite three primary motivations. First, implementation overhead: Glassbox's reliance on manual tagging creates a continuous engineering burden, with data gaps appearing whenever the site or app changes. Quantum Metric's autocapture eliminates this — the platform keeps pace with site changes without code-level intervention. Second, insight velocity: Glassbox users commonly report spending significant time on setup rather than analysis. Quantum Metric's Felix AI delivers autonomous insights, turning what used to take hours of manual replay review into seconds of structured findings. Third, cross-team adoption: Glassbox is technical-team-centric, which limits organizational value. Quantum Metric is built for enterprise-wide use — from engineering to product to CX — with self-service access controls and dashboards designed for both technical and business users.
Glassbox provides surface-level journey insights, but users consistently report that its features are difficult to use and deliver inconsistent data — limiting holistic journey analysis across the full customer lifecycle. The platform's technical-first design means journey analysis tends to be siloed from business context which means there’s no way to quantify the business impact. Quantum Metric automatically visualizes and quantifies the entire customer journey from start to finish, with the ability to drill down to page-level micro-conversions and quantify the revenue impact of each friction point. Journey data in Quantum Metric is connected to session replay, error monitoring, and business metrics — meaning teams can move from identifying a journey drop-off to understanding its root cause and dollar impact in a single workflow.
Quantum Metric was named a Strong Performer in The Forrester Wave™: Digital Analytics Solutions, Q3 2025, receiving the highest possible scores in real-time analysis, alerting, mobile app deployment, analysis for technical performance, measurement, and adoption. G2 customer reviews consistently highlight the quality of Quantum Metric's mobile analytics, the speed and autonomy of Felix AI, and the strength of its customer success team. A Glassbox customer in travel and hospitality noted publicly: "Whenever we would like to use Glassbox for insights, 50% of the time…it's basically focused on setup. So there's only 50% of the time I really use Glassbox data for insights" — a pattern that Quantum Metric's autocapture and agentic AI are specifically designed to eliminate.
Glassbox’s recent history warrants some scrutiny. It went public on the Tel Aviv Stock Exchange in 2021 raising $100M at an approximately $500M valuation. Just three years later, it was unable to sustain public market growth expectations and agreed to be taken private by Alicorn Venture Partners in an all-cash acquisition valued at approximately $150M — a significant discount to its peak valuation. Because private equity firms typically prioritizes margin improvement and exit positioning over product investment and customer success, this can introduce meaningful uncertainty for enterprises looking for long-term partners. Quantum Metric is a privately held, venture-backed company with a clear product roadmap focused on customer success.
