Methodology

• We do not fetch, crawl, or load the site you enter.
• We do not store the URL you type, your IP, or any browser fingerprint.
• We do not run analytics, advertising, or session-replay trackers on this app.
• Nothing about you leaves your browser. The analysis runs locally.

When you submit a URL we only keep the domain (e.g. example.com). That domain is matched against an internal model that combines:

• A curated catalogue of common 3rd-party trackers (analytics, advertising, session replay, CDPs, tag managers).
• Pattern rules that map domain shape — news, social, e-commerce, finance, SaaS, public sector — to typical monetisation models.
• Industry benchmarks for revenue-per-visit (RPV) in each model.

The output is deterministic: the same domain always produces the same report. It is an educated estimate, not a measurement of the site's actual systems.

Higher is better. Score starts at 100 and is reduced by the number of trackers and the weight of advertising / session-replay vendors detected. A small deterministic variance is applied so similar sites still get distinguishable scores.

• Low — up to 2 trackers
• Medium — 3–5 trackers
• High — 6–7 trackers
• Extreme — 8 or more trackers

This is an estimate of the economic value one visit represents inside the site's monetisation model — derived from public industry benchmarks (ad RPMs, e-commerce conversion rates, lead-gen CPLs, etc.).

It is not the exact profit the site earns from you. Actual revenue depends on geography, time of day, returning vs. new visitor status, ad inventory, and many variables we deliberately do not observe.

• Heuristic, not forensic. For a real audit, run a network-level inspection (e.g. browser dev tools, Blacklight, Webbkoll).
• Sites change. A domain may have added or removed trackers since our model was last tuned.
• Estimates assume average industry behaviour and may over- or under-state value for specific operators.