Visitor IntelligenceFeaturesPricingGlobal StatsContact
The core of GhostStat

The Visitor
Intelligence Hub

Analytics tools count events. The Hub reassembles them into a person — what they wanted, where you lost them, and how close they came.

Live radar — visitors on site now
  • High intent — near the centre, close to acting
  • Comparing — weighing you against something else
  • Evaluating — reading, not yet decided
  • Exploring — just arrived, still scanning
How it is assembled

Every plugin writes into the same visitor

A heatmap click, a funnel drop, a returning session and a slow-loading page are not four reports. They are four things that happened to one person, and the Hub keeps them together.

1Collect

A cookieless tracker records what happened: pages, events, scroll, timing, network — never who you are.

2Stitch

Sessions are joined into one visitor, across days and devices, using salted per-site identity that cannot follow anyone off your site.

3Score

Behaviour becomes intent, friction and attention — plus a journey stage and a persona that emerged rather than being assigned.

4Act

Every number opens the visitor behind it: the recording, the path, the exact page where it went wrong.

Intent, friction, attention

Live across the GhostStat network right now.

Intent51
Frustration6
Attention40

Journey stage

Where each visitor is, not where you hoped they would be.

Exploration 26%Just landed. Scanning, not committing.
Evaluation 31%Reading the detail. Weighing it up.
Comparison 24%You against the alternative.
Commitment 19%Decided. Looking for the button.

Personas that emerged

Not segments you defined — patterns the behaviour produced.

Researcher28%
Skimmer24%
High-intent buyer19%
Comparison shopper16%
Lost / frustrated13%

Behavioural map

Every measured page, placed by how people behave on it.

  • Hot 31%
  • Neutral 24%
  • Drop-off 17%
  • Confusing 15%
  • High friction 13%
Micro-behaviour

The signals underneath the numbers

Intent is not declared, it leaks. These are the small behaviours the Hub reads to tell a decided visitor from a distracted one.

Reading cadenceSteady scroll, or a skim that never slows down
CTA approachHovering the button before committing to it
BacktrackingReturning to a page they already read
HesitationTime spent stationary over a decision
Scroll rhythmBursts and pauses that reveal attention
Rage signalsRepeat clicks on something that is not working