Download websites that use Quantum Metric

About Quantum Metric

Airlines, banks, insurers, telecoms and large retailers make up most of the customer list, and Quantum Metric is priced for that room, where a fraction of a percentage point of conversion is worth a serious annual contract. Session replay, funnel analysis, anomaly detection and revenue impact measurement are the working parts, and the buyer is normally the person who answers for the conversion number rather than the team that builds the pages.

Presence on a site is therefore an unusually strong qualifier. A company running it has a digital revenue line big enough to fund experience optimisation as its own discipline, a product organisation with analysts to act on what the tool surfaces, existing tagging maturity, and in most cases a previous analytics vendor that was evaluated and replaced. Very little else in a technology dataset identifies enterprise digital spend that cleanly, because most enterprise software leaves no trace on the public web at all.

Sold since 2015 by Quantum Metric Inc. under Proprietary terms, the collector is a JavaScript agent that instruments the page in the browser and streams interaction data back for reconstruction. The delivery model creates the main measurement problem. Enterprises of this size routinely serve the agent first party from their own domain, rename the endpoint, and load it through a tag manager, all of which are deliberate choices that make vendor attribution from outside harder.

As of October 2026 we detect Quantum Metric on 1,356 sites, and in the Analytics category a figure of that size should be read as a roster of identified accounts rather than as a market share. The real customer base is larger than what a crawler can attribute, and the visible portion skews toward deployments that kept recognisable defaults and toward sites that instrument the whole property rather than only the checkout or the logged in application, which is where enterprise replay tooling is often confined.

Given those limits, the value sits in the composition of the list rather than in its length. Competing experience analytics vendors use it to build displacement targets, and every name on it is worth a named account plan. Systems integrators and optimisation consultancies use it to find organisations that already buy this category of work. Vendors of adjacent enterprise software use an advanced analytics stack as a qualifier for budget and maturity. Investors and analysts use the movement of the set across snapshots to judge whether enterprise experience analytics is expanding or consolidating.

A per domain check tells you what one bank runs. The downloadable list tells you which industries and which national markets have adopted the category, which sites pair it with a competing tool during an evaluation, and which accounts appeared or disappeared since the last export. Those are the questions worth paying for, and a lookup cannot reach any of them.