In-Store Customer Counting

Customer Counter

Track in-store customer numbers to measure true conversion rates and optimise staffing. AI-powered customer counters with 98%+ accuracy for retail stores of all sizes. From £720 per store per year.

AI customer counter tracking in-store visitors

Trusted by leading brands

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

The problem

Why You Need a Customer Counter

Unknown Customer Volume

Without a customer counter, you know how many transactions you make but not how many customers walked through the door. Your true conversion rate is invisible.

Store Comparison Blindspot

Comparing stores by revenue alone ignores traffic differences. Two stores with identical sales may have wildly different customer volumes — and different problems to solve.

Staffing by Gut Feel

Without customer counter data, shift patterns are based on intuition. This means overstaffing during quiet periods and understaffing when customers actually need help.

Simple setup

How Customer Counting Works

01

Install the Sensor

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

02

Count Every Customer

The customer counter uses AI vision to count every person entering and exiting with 98%+ accuracy — even groups and families.

03

Connect Your POS

Link Shopify, Square, or your POS to pair customer counts with transactions. Conversion rates calculate automatically.

04

Optimise Performance

View real-time customer counting dashboards. Align staffing to traffic, measure campaigns, and benchmark stores by conversion rate.

Customer Counter Performance

98%+

Customer counting accuracy

15 min

Installation time

Real-time

Conversion dashboards

10-15%

Typical labour savings

Everything You Need in One Package

Hoxton S1 overhead customer counter sensor
AI Customer Counter Sensor

Overhead S1 sensor installs in 15 minutes at each entrance. 98%+ accuracy for reliable customer counts and conversion rates.

Real-time customer counting and conversion dashboard
Conversion Dashboards

Customer counts paired with POS transactions give you real-time conversion rates, peak hour analysis, and store-by-store benchmarking.

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

Knowing our true customer count changed everything. We discovered our best store by revenue was actually our worst by conversion — completely different problem to solve.

Ribble Cycles

Multi-location cycling retailer

The integration with our POS was seamless. Within a week we had conversion dashboards that drove immediate staffing improvements.

Lisa Angel

Jewellery and gifting retailer

Customer Counter FAQ

See It in Action

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