AI-Powered Footfall Counting

Footfall Counter

AI-powered footfall counters with 98%+ accuracy. Track visitor numbers, measure store conversion rates, and optimise staffing and marketing decisions across your entire retail estate. From £720 per store per year.

AI footfall counter installed above a retail store entrance

Trusted by leading brands

Vodafone Logo
Iceland Logo
Tate Logo
Center Parcs Logo
Ribble Logo
Neptune Logo
Lisa Angel Logo
Scribbler Logo
Vodafone Logo
Iceland Logo
Tate Logo
Center Parcs Logo
Ribble Logo
Neptune Logo
Lisa Angel Logo
Scribbler Logo

The problem

Why You Need a Footfall Counter

Most retailers make critical decisions without knowing how many people actually visit their stores.

Conversion Blindness

Without accurate footfall data, you cannot calculate true store conversion rates. Every merchandising and staffing decision is based on guesswork.

Staffing Misalignment

Payroll is 20-30% of retail operating costs. Without footfall counter data, schedules rely on gut feeling — overstaffing lulls, understaffing peaks.

Marketing Attribution

You spend thousands on campaigns but cannot measure which ones actually drive footfall. Without a footfall counter, promotional ROI is invisible.

Simple setup

How Footfall Counting Works

01

Install the Sensor

Mount the Hoxton AI footfall counter above your entrance in 15 minutes. No specialist tools — just power and WiFi.

02

Count Every Visitor

The footfall counter anonymises images on-device and counts every person entering and exiting with 98%+ accuracy — even groups walking side-by-side.

03

Connect Your POS

Link Shopify, Square, or your POS to pair footfall with transactions. Conversion rates update automatically throughout the day.

04

Optimise Performance

View real-time footfall dashboards showing conversion rates by hour, store, and campaign. Make data-driven staffing and merchandising decisions.

Footfall Counter Performance

98%+

Counting accuracy

15 min

Installation time

500+

Locations worldwide

10-15%

Typical labour savings

Everything You Need in One Package

Hoxton S1 overhead footfall counter sensor
AI Footfall Counter Sensor

Overhead S1 sensor installs in 15 minutes above your entrance. 98%+ accuracy, privacy-first, engineered in the UK.

Real-time footfall and conversion rate dashboard
Real-Time Dashboards

Footfall, conversion rates, peak hours, and store comparisons — all updated in real time and accessible from any device.

API and POS integration platform
POS & API Integrations

Out-of-the-box integration with Shopify, Square, and enterprise POS. Plus a full API for custom workflows.

Why 98%+ accuracy

Counting based on journey prediction, not simple line crossings

Most people counters fire a +1 the instant something crosses a beam or line. That's fast — but it's also why they overcount. Hoxton works differently: it uses an overhead view to recognise a complete in-view journey and only counts when the journey matches a real entry or exit.

Traditional counters

A single trigger = a count, every time the line is crossed.

Traditional people counter: a beam trigger counts every crossing, inflating the real number
  • Security guard pacing near the doorway? Counted repeatedly.
  • Customer steps in, hesitates, turns back out? Often counted twice.
  • Staff working near the entrance? Every pass inflates the number.

Result: counts drift upward anytime there's “doorway noise”.

Hoxton AI directional event counting

A count is only created when the system confirms a genuine entry/exit event.

Hoxton AI intent-verified counting: only genuine entries and exits are counted
  • Understands a person's in-view journey from arrival to departure.
  • Someone loops, pauses, or changes their mind? No false extra counts.
  • A count only registers when they arrive on one side and leave on the other — a real entry or exit.

Result: accurate footfall that matches what actually happened, not how many times a line was crossed.

How directional event and journey prediction works

1
Step 1: Person enters the sensor's field of view

Detect

Person enters the field of view

A person is detected as they arrive in the overhead zone.

2
Step 2: Movement is understood in context

Interpret

Movement is understood in context

The system evaluates whether the movement indicates entering, exiting, or lingering/turning back (including loops and hesitation).

3
Step 3: Count only when the journey is complete

Confirm

Count only when the journey is complete

A count is recorded only when the person leaves the zone in the opposite direction — confirming a true entry/exit event, once.

Trusted by Leading Retailers

Hoxton gives us the data we need to make confident decisions about staffing and store layout. Conversion rate visibility has been transformative.

Ribble Cycles

Multi-location cycling retailer

We can now compare store performance fairly using conversion rates instead of just revenue. It has completely changed how we manage our franchise.

Vodafone Franchise Partner

Telecommunications retail

Footfall Counter FAQ

See It in Action

Book a demo and we'll show you real dashboards from spaces like yours.