Product

Passive WiFi analytics

Sensors the size of a WiFi access point listen for the signals phones already broadcast. Everything is anonymised on the sensor itself, in 1–3 seconds, and your dashboard fills in near-realtime.

Runs: Short events · roadshows · long events · permanent installs

What it answers

How many unique devices were in each zone, and when
How long they stayed, and how many genuinely engaged
How visitors moved between zones, and which paths they preferred
How many came back — within one event or a contracted campaign

Inputs

Publicly broadcast WiFi probe frames from phones in range (~10 m per sensor)
Signal strength and timing — the raw device identifier is hashed on the sensor and never stored
Zone layout: which sensors cover which areas, fixed at deployment

Outputs

Impressions and unique visitors, down to 15-minute intervals
Zone, site and repeat visits; first/last seen; dwell time and engagement by zone, cluster and site
Zone affinity, flow explorer and engagement graph
HITmap: hotspots, interest and traffic at 10-minute granularity — perimeter detection, not positioning

Privacy boundary

Anonymised on the sensor itself, in 1–3 seconds — raw device identifiers are never stored. Each device is assigned a pseudonymous identity, irreversibly de-linked at campaign end. No report cell ever represents fewer than 12 devices — in production since 2019. Aggregate statistics only: no profiles are created, stored, or delivered.

In production

Where it runs today

Palfinger · Las Vegas

Named client · client-approved sample

A two-floor, 22-sensor booth measured across a five-day trade show, March 2026.

33,464 unique devices measured
26% returning · 36 min average engaged dwell
Zone-level funnel: faraway, passers-by, engaged — with the conversion gap quantified

More case studies →

See passive wifi analytics against your own floor plan.

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