Retail Foot Traffic Measurement

Foot Traffic Counter

Measure store foot traffic to track campaign ROI, compare locations, and optimize retail operations. AI-powered foot traffic counters with 98%+ accuracy for data you can act on. From $995 per store per year.

AI foot traffic counter measuring store visitors

Trusted by leading brands

Vodafone Logo
Iceland Logo
Tate Logo
Center Parcs Logo
Ribble Logo
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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 Foot Traffic Counter

No Foot Traffic Data

Without a foot traffic counter, you cannot measure how many people visit your store. Revenue alone does not tell you whether you have a traffic problem or a conversion problem.

Campaign ROI is Invisible

You invest in marketing to drive foot traffic, but without a traffic counter you cannot measure whether campaigns actually brought more people through the door.

Location Decisions by Guesswork

Site selection for new locations and lease renewals depend on foot traffic data. Without it, you are making multi-year financial commitments based on assumptions.

Simple setup

How Foot Traffic Counting Works

01

Install the Sensor

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

02

Measure Foot Traffic

The traffic counter uses AI vision to count every person entering and exiting with 98%+ accuracy — capturing your true foot traffic volume.

03

Connect Your POS

Link your POS to pair foot traffic data with sales. Calculate store conversion rates and measure the traffic impact of campaigns.

04

Compare & Optimize

View foot traffic dashboards across locations. Benchmark stores, measure marketing lift, and make data-driven real estate decisions.

Foot Traffic Counter Specifications

98%+

Traffic counting accuracy

15 min

Installation time

Multi-site

Location benchmarking

Real-time

Live traffic dashboards

Everything You Need in One Package

Hoxton S1 overhead foot traffic counter sensor
AI Foot Traffic Sensor

Overhead S1 sensor installs in 15 minutes at each store entrance. 98%+ accuracy for reliable traffic measurement across all your locations.

Multi-site foot traffic dashboard
Multi-Site Dashboards

Compare foot traffic, conversion rates, and campaign lift across all locations. Benchmark stores and identify traffic vs conversion problems.

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 analytics and reporting 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

Foot traffic data transformed how we evaluate store performance. We discovered two locations had great traffic but poor conversion — completely different fix than we assumed.

Ribble Cycles

Multi-location cycling retailer

We can finally measure whether our marketing campaigns actually drive foot traffic. The ROI visibility has changed how we allocate our marketing budget.

Vodafone Franchise Partner

Telecommunications retail

Foot Traffic Counter FAQ

See It in Action

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