Quantum Metric

Quantum Metric provides digital experience analytics built on session replay, a nested segment builder, autocapture of more than 300 metrics without configuration, page performance analysis quantifying the impact of slow pages, and user analytics.

Autocapture is the capability that determines whether this class of product delivers, and the reason is a failure mode that affects every analytics implementation built the conventional way.

Traditional analytics requires deciding in advance what to measure. Engineers add tracking to specific interactions, and only those interactions produce data. The consequence appears months later, when something goes wrong and the question being asked concerns an interaction nobody instrumented, so the data does not exist and cannot be recovered retrospectively. The team then adds tracking and waits for the problem to recur.

Capturing everything by default inverts that. Questions can be asked about past behaviour without having anticipated them, which is the normal situation, because the important questions are prompted by events rather than planned.

Quantifying financial impact is the other emphasis and it is what makes findings actionable in practice. Every organisation has a long list of known digital problems and limited capacity to fix them. Knowing that a particular checkout error affects two percent of sessions is interesting; knowing it costs a specific amount per week is what moves it to the top of a backlog, because it converts a user experience observation into a business case.

Page performance receiving its own treatment reflects that speed is a conversion factor rather than a technical metric, and slow pages lose revenue quietly in a way that never appears as an error.

Session replay underpins the rest by showing what actually happened rather than what the numbers imply, which is frequently the only way to understand why a metric moved.

Pricing is published on a plans page but no figure was captured, so confirm current rates with the vendor.