From the first visit
to the next action.

Know what brings
people to your site.

Visitors, visits and pageviews, the pages people read and leave from, and where they arrived from — with the previous period alongside, so a number means something.

• Pages, entry and exit pages, sources, channels and the full UTM set
• Locations and devices, derived from the request and never from a stored IP
• Visits from ChatGPT, Claude, Perplexity, Gemini and Copilot as their own channel
• Bots and referrer spam dropped at ingest, so they never reach your numbers

Track the actions
that mean something.

Any event can be nominated as a goal. Most sites do not need new tagging to get there — the tracker reads your existing Tag Manager dataLayer, so tags you already have arrive under their own names.

• Existing GTM and gtag events captured with no re-tagging
• Outbound clicks, downloads, form submissions and scroll depth, on by default
• Tag markup instead of code, or call the tracker directly
• Revenue recorded from value and currency

See where the
journey changes.

Put steps in order and read the drop between them. A funnel will not tell you why people leave, but it tells you exactly which step to go and look at.

• Conversion between each pair of steps, and the largest drop-off
• Where visits end, and which pages send people to a dead end
• Paths through the site within a visit

Journeys are within a visit. There is no cross-day journey, because no identifier survives the night — by design.

And what to do
about all of it.

Content Recommendations reads your own aggregates and raises specific cards. These are rule-based detectors, not a model: the same numbers always produce the same advice, and you can see why each card appeared.

• A page converting well on little traffic — worth sending more to.
• A page taking the traffic but not the conversions.
• A question visitors search for that no page answers.