People Counter for Shopify Stores

Track footfall and in-store conversion rate directly in your Shopify POS. See which stores convert best, which hours drive the most sales, and which marketing actually drives foot traffic.

Your Shopify admin tells you exactly how many customers bought. But what about the ones who walk through your door and leave without buying? Without a people counter, you're missing half the picture — and making decisions blind.

HoxtonAi is trusted by thousands of users:

The Analytics Gap

You know your online conversion rate to two decimal places. But the moment someone walks into your physical shop, you're flying blind. Shopify POS tells you what sold, who bought it, and how much revenue came in. What it doesn't tell you: how many people walked in and left without buying.

You Can't Calculate In-Store Conversion Rate

Online retailers obsess over conversion rate because it drives everything. But in-store retailers have almost zero insight into their equivalent metric. Shopify POS alone won't tell you that your store has a 12% conversion rate, or that Thursday afternoons are your worst-performing daypart.

Your Marketing Decisions Are Guesswork

You run an Instagram ad campaign. You track clicks and online conversions. But the real goal? Drive footfall to your physical location. Without footfall data, you have no idea if it worked. Did that £500 campaign bring 10 people in or 100?

Staffing & Strategy Calls Without Data

Are you overstaffed on quiet days and understaffed on busy ones? Does rearranging your window display actually increase foot traffic? Without a footfall counter, these decisions are based on gut feel, not data — and that costs you money.

Online Store Owner Knows

Traffic source & device type. Landing page performance. Session duration & scroll depth. Cart contents & abandonment triggers. Full customer journey from first click to checkout.

Physical Store Owner Knows

What sold. "Roughly how busy it was." Which staff member rang it up. That's it. No footfall data. No conversion rate. No way to know how many people walked in and left without buying.

That's not a gap. That's a canyon. And it's costing you money every single day. Until now.

The Solution: Hoxton Convert

See your in-store conversion rate. In real time. Automatically. Think of it as Google Analytics for your physical shop.

Real-Time Footfall Counting

An AI computer vision sensor sits above your entrance. It counts every person entering and leaving, with 98% accuracy — even in groups, bright sunlight, or when there's a queue at the door.

Automatic Shopify POS Integration

Your footfall data syncs automatically with Shopify. No manual spreadsheets. No API wrestling. Connect your Shopify POS account in one click, and data flows instantly.

In-Store Conversion Rate

Combines footfall from the sensor with transaction data from your Shopify POS. You see: "Today, 247 people walked in. 34 made a purchase. Conversion rate: 13.8%."

Privacy-First Design

Images processed on-device. Nothing uploaded to the cloud. No facial recognition. No biometric data stored. Fully GDPR compliant. Privacy as a first principle.

Works in All Conditions

Direct sunlight, heating vents, groups bunching at the door, children, buggies, animals — AI computer vision handles what thermal sensors can't.

Multi-Location Comparison

Own multiple stores? See footfall, conversion rate, and sales per visitor across all of them. Identify top performers and where investment is needed.

How It Works: Four Steps to In-Store Insights

From unboxing to seeing your first conversion rate data in under 30 minutes.

1. Install the Sensor

Peel and stick above your entrance. No wires, no drilling, no electrician. Takes about 15 minutes. Invisible to customers.

2. Connect to WiFi

Pair via the Hoxton app. If WiFi drops, the sensor keeps counting locally and syncs when connection returns. You never lose data.

3. Link Your Shopify POS

Click "Connect Shopify" in the app. Approve the integration in your Shopify admin. That's it. Footfall and sales data combine automatically.

4. See Your Conversion Rate

Within minutes: how many walked in, how many bought, your conversion rate, busiest hours, best-performing days. All in your dashboard.

What You Can Actually Measure

Once Hoxton Convert is running, you can answer questions you couldn't answer before.

In-Store Conversion Rate

Visitors who bought divided by total visitors. Today, this week, this month. By time of day. Finally, you know whether your shop is actually converting.

Hourly Footfall Patterns

When is your store actually busy? Real data, not guesses. Optimise staffing, plan restocking, time your promotions to peak hours.

Marketing Effectiveness

Run a paid social campaign. Track the footfall spike. Did your £500 Instagram ad bring 15 people or 150? Cross-reference spend against actual store visits.

Staff Performance

Pair Shopify POS staff data with footfall. Sarah's shift: 100 visitors, 20 sales (20%). Ahmed's shift: 120 visitors, 30 sales (25%). Powerful for coaching.

Window Display Impact

Add an outdoor sensor and measure how many passersby enter. Did your new window display increase the entry rate? This single metric guides merchandising.

Multi-Location Comparison

Footfall, conversion rate, and sales per visitor across all your locations. Which store is performing best? Where is foot traffic declining?

AI Computer Vision vs. Thermal Sensors

Most in-store analytics companies use thermal sensors. They're cheap and easy. They're also mediocre. A 13-point accuracy difference over 500 daily visitors means thermal sensors miscount 65 people per day.

AI Computer Vision vs. Thermal Sensors

Most in-store analytics companies use thermal sensors. A 13-point accuracy gap means thermal sensors miscount 65 people per day over 500 visitors.

Hoxton Convert (AI Vision)

98% accuracy. Counts individuals in groups. No effect from direct sunlight. Accurate with children and buggies. Built-in one-click Shopify POS integration. On-device privacy processing. Designed for peak time handling.

Thermal Sensors

~85% accuracy. Counts groups as one heat blob. Struggles in direct sunlight. Often misses children. Manual API integration with Shopify. Accuracy drops during busy periods.