The traffic your analytics never sees.

Why conventional analytics under-counts, and what this data model changes about it.

Two filters sit in front of your data

Analytics that depends on consent records only the people who agreed. Analytics that depends on a widely-blocked script records only the people not blocking it. Both filters apply before a single number reaches your dashboard, and neither is visible in the dashboard itself.

Why the gap is not random

This matters more than its raw size. People who decline consent and people who block trackers are not a random sample of your audience, so what you lose is not a scaled-down copy of what you keep. Decisions made on the remainder are quietly biased in a direction you cannot see.

What changes here

Nothing is stored on the device, so there is less that needs permission. The tracked page makes no third-party request, and you can proxy ingest through your own domain, so there is no recognisable third-party tracker to filter. The gap narrows. It does not close, and anyone promising you a complete picture is selling you something.

Why we publish no number

We publish no percentage for how much traffic this recovers. It depends entirely on your audience, region and industry, and a number invented for a marketing page would tell you nothing about your own site. Run both tools side by side for a fortnight and measure your own gap.