Amplitude asks your engineers to tag every event before you can see it. Quantum Metric captures everything automatically then puts Felix AI to work finding and explaining the friction that's costing you revenue, so your team spends time fixing problems instead of waiting on a backlog to see them.
“Tools like Amplitude get me to a point of a drop off, but can't get me to this level of investigation. That's where Quantum Metric can help.”
/ Online Mobile Bank
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 replaces Amplitude's tagging-dependent, product-analyst-first model with 100% automatic data capture and an agentic AI analyst, Felix AI, that investigates friction and quantifies revenue impact without engineering lift.
Why it matters.
Event tracking
Depends on code-level manual tagging. If an event isn't tagged in advance, it isn't captured. You can only see data going forward from when tracking was set up.
100% automatic data capture out of the box via a lightweight tag/SDK. Codeless “precision events” can be created and adjusted in a visual UI, without waiting on a dev sprint.
Marketing and analytics teams stop losing weeks (or months) waiting on engineering to add a single tracking event.
Funnels & cohorts
Built primarily for product managers and data analysts, which limits self-serve use for other departments.
Segment Builder is purpose-built for user-level funnels and cohort retention, visually surfacing step-by-step drop-off and behavioral friction.
Marketing, CX, UX, and engineering can all work from the same funnel data, eliminating bottlenecks and silos.
Session replay
Session Replay is tied to analytics but customers report native mobile app replay has fidelity limitations, missing sessions, and less technical depth for root-cause work.
Patented capture technology renders high-fidelity replays with full web-to-mobile parity, plus deep technical detail (network, performance, errors) for every session.
One consistent, high-fidelity replay standard for diagnosing issues on any device — not just the web.
Auto-captured signals
Default signal set skews toward clicks, page views, and interactions the team already thought to track.
Automatically captures 300+ out-of-the-box dimensions and friction indicators (rage clicks, dead clicks, API errors), so teams can analyze historical data from day one.
Surfaces issues and opportunities you didn't know to look for — not just the ones you tagged.
Agentic investigation
AI agent features can build charts and summarize data, but access to session replay via natural language is limited, and customers have flagged accuracy/trust concerns with AI-generated numbers.
Felix AI Agentic (powered by Google Gemini) works around the clock — investigating anomalies, testing causal factors, and confirming root causes across sessions and journeys.
Hours of manual investigation become an always-on, cited, auditable analysis — not a black box.
Real-time monitoring & baselines
Anomaly detection is largely event-count based, without granular experience-level baselines (e.g., spikes in rage clicks or struggle behavior).
Advanced baselining automatically calculates normal performance ranges and flags true experience-level deviations, triggering alerts on what actually affects customers.
Fewer noisy alerts on raw event swings; more signals on real customer friction.
Built for enterprise B2C
Event-based pricing charges per data point captured, which can scale unpredictably at high volume; native mobile SDKs have been reported to strain under heavy B2C traffic.
Predictable, session-based pricing built to scale to billions of events a month so teams don’t get penalized for capturing deep analytical data per session.
Enterprise B2C teams get predictable costs and reliable performance at scale, without event caps forcing hard tradeoffs.
Event tracking
Depends on code-level manual tagging. If an event isn't tagged in advance, it isn't captured. You can only see data going forward from when tracking was set up.
Funnels & cohorts
Built primarily for product managers and data analysts, which limits self-serve use for other departments.
Session replay
Session Replay is tied to analytics but customers report native mobile app replay has fidelity limitations, missing sessions, and less technical depth for root-cause work.
Auto-captured signals
Default signal set skews toward clicks, page views, and interactions the team already thought to track.
Agentic investigation
AI agent features can build charts and summarize data, but access to session replay via natural language is limited, and customers have flagged accuracy/trust concerns with AI-generated numbers.
Real-time monitoring & baselines
Anomaly detection is largely event-count based, without granular experience-level baselines (e.g., spikes in rage clicks or struggle behavior).
Built for enterprise B2C
Event-based pricing charges per data point captured, which can scale unpredictably at high volume; native mobile SDKs have been reported to strain under heavy B2C traffic.
Event tracking
100% automatic data capture out of the box via a lightweight tag/SDK. Codeless “precision events” can be created and adjusted in a visual UI, without waiting on a dev sprint.
Funnels & cohorts
Segment Builder is purpose-built for user-level funnels and cohort retention, visually surfacing step-by-step drop-off and behavioral friction.
Session replay
Patented capture technology renders high-fidelity replays with full web-to-mobile parity, plus deep technical detail (network, performance, errors) for every session.
Auto-captured signals
Automatically captures 300+ out-of-the-box dimensions and friction indicators (rage clicks, dead clicks, API errors), so teams can analyze historical data from day one.
Agentic investigation
Felix AI Agentic (powered by Google Gemini) works around the clock — investigating anomalies, testing causal factors, and confirming root causes across sessions and journeys.
Real-time monitoring & baselines
Advanced baselining automatically calculates normal performance ranges and flags true experience-level deviations, triggering alerts on what actually affects customers.
Built for enterprise B2C
Predictable, session-based pricing built to scale to billions of events a month so teams don’t get penalized for capturing deep analytical data per session.
Why it matters.
Event tracking
Marketing and analytics teams stop losing weeks (or months) waiting on engineering to add a single tracking event.
Funnels & cohorts
Marketing, CX, UX, and engineering can all work from the same funnel data, eliminating bottlenecks and silos.
Session replay
One consistent, high-fidelity replay standard for diagnosing issues on any device — not just the web.
Auto-captured signals
Surfaces issues and opportunities you didn't know to look for — not just the ones you tagged.
Agentic investigation
Hours of manual investigation become an always-on, cited, auditable analysis — not a black box.
Real-time monitoring & baselines
Fewer noisy alerts on raw event swings; more signals on real customer friction.
Built for enterprise B2C
Enterprise B2C teams get predictable costs and reliable performance at scale, without event caps forcing hard tradeoffs.
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 enterprise B2C teams that need a single, unified view of the customer experience, Quantum Metric offers advantages Amplitude doesn't: 100% automatic data capture (no manual tagging), high-fidelity session replay with full web-to-mobile parity, and Felix AI, an agentic analyst that investigates friction and quantifies revenue impact around the clock. Amplitude remains a strong, purpose-built tool for product-led teams doing deep product analytics — the right fit depends on your use case and how much engineering support you have to maintain manual event tracking.
Amplitude requires developers to manually tag events before that data can be analyzed, which means gaps for anything untagged and no way to look back at historical behavior for events you didn't think to track. Quantum Metric automatically captures 300+ behavioral, technical, and business dimensions out of the box, so teams can analyze historical data from day one without waiting on engineering.
Yes, but customers report that native mobile app replay has fidelity limitations and that replay lacks the deep technical context — network, performance, and error-level detail — needed for root-cause analysis. Quantum Metric's patented capture technology renders high-fidelity replays with full parity between web and native mobile.
Quantum Metric is built for high-volume, enterprise B2C traffic, with session-based pricing that doesn't penalize teams for capturing deep analytical detail, and infrastructure that scales to billions of events a month. This is a common reason enterprise teams evaluate Quantum Metric as they outgrow Amplitude's event-based pricing model.
Both platforms have introduced AI agent features. Amplitude's AI agents can build charts and answer questions in natural language, but customers have flagged accuracy and trust concerns with AI-generated numbers, and access to session replay via natural language remains limited. Quantum Metric's Felix AI Agentic, powered by Google Gemini, works continuously to investigate anomalies, test causal factors, confirm root causes, and cite its sources.
Yes. Many teams pair Quantum Metric's session replay and Opportunity analysis with Amplitude's cohort and event data, using Quantum Metric to verify why a cohort is dropping off and to prioritize friction based on revenue impact — without adding tagging work to do it.
