Best People Counters for Shopify Stores — 2026 Comparison
TL;DR — Key Takeaways
- Shopify POS tracks sales but not visitors—you need a separate people counter to measure in-store conversion rate.
- AI vision cameras are most accurate (98%) and easiest to integrate with Shopify. Thermal, infrared, and beam-break sensors are cheaper but less accurate and harder to integrate.
- Integration matters: "Native Shopify app" is best. "API integration" is workable. "Manual reporting" is a pain.
- Setup difficulty ranges from 10 minutes (beam-break) to 30 minutes (AI vision). Most Shopify retailers need 20–30 minutes all-in.
- This comparison covers 5 solutions fairly: Hoxton Convert, Dor, Storetraffic, RetailNext, and budget beam-break counters.
- Our recommendation: Pick based on your store size, budget, and integration needs—not hype.
Part 1: Why Shopify Retailers Need a People Counter
Before we compare solutions, let's establish the need.
Shopify POS tells you:
- Products sold
- Revenue
- Staff performance
- Customer profiles
Shopify POS does not tell you:
- How many people entered the store
- What percentage of visitors bought (conversion rate)
- Which marketing campaigns drove physical foot traffic
- When foot traffic peaks vs. when conversions happen
This is the analytics gap that a people counter fills.
The Business Impact
Imagine you run a fashion boutique and Shopify POS shows:
- "Tuesday: £1,200 revenue"
Now add footfall data:
- "Tuesday: 120 visitors, 18 transactions, 15% conversion rate, £10 revenue per visitor"
The second version is infinitely more actionable. You can now ask:
- Why was conversion 15% instead of our target 18%?
- Which marketing brought those 120 visitors?
- Should we staff up or down next Tuesday?
That's why you need a people counter.
Part 2: What to Look For in a Shopify People Counter
Before comparing solutions, here are the key evaluation criteria:
1. Accuracy
- What it means: How many people the sensor actually counts vs. how many walked past.
- Acceptable range: 95%+ for a professional solution. Budget solutions at 70–80% will give you garbage data.
- How to test: Ask the vendor for a third-party audit or an in-store trial (usually free for 7–14 days).
2. Integration Depth with Shopify
- Native Shopify app: Best. One-click install, data flows directly into Shopify POS dashboard.
- API integration: Good. Data syncs automatically, but requires a small amount of setup (API keys, webhooks).
- Manual reporting: Poor. You download a CSV from the people counter, upload it to a spreadsheet, and calculate conversion manually. Slow and error-prone.
3. Price
- Hardware: One-time cost (£300–5,000+).
- Software/subscription: Monthly recurring (£20–500+).
- Total cost of ownership: Year 1 hardware + (12 × monthly) for a fair comparison.
4. Setup Difficulty
- Ease matters: If setup takes 8 hours, you'll delay launch. Aim for <30 minutes.
- On-site support: Some vendors send a technician (expensive but foolproof). Others ship DIY kits.
5. Data Reporting & Insights
- Real-time dashboard: Can you see live visitor count?
- Historical trends: Can you compare this week to last week, this month to last month?
- Custom reports: Can you export data to analyze in Excel or Google Sheets?
- Alerts: Does it notify you if foot traffic drops unexpectedly?
Part 3: Technology Comparison — How They Work
There are five main people-counting technologies. Let's compare them fairly:
AI Vision (3D Cameras)
How it works: A 3D camera (usually mounted above the door) uses machine learning to detect and count individual people passing through.
Pros:
- Highest accuracy (97–99%)
- Works in any lighting condition
- Handles multiple entry/exit points
- Counts accurately even when people crowd together
- No privacy concerns (no video recorded, just anonymized counting)
Cons:
- Higher hardware cost (£800–1,500)
- Slightly longer initial calibration (2–3 minutes)
Best for: Any retail type; future-proof; high-volume stores
Thermal Sensors
How it works: Infrared cameras detect heat signatures of passing people.
Pros:
- Good accuracy (85–90%)
- Works in any lighting
- Reasonably priced (£500–900)
- Smaller physical footprint than some alternatives
Cons:
- Can miscount in very hot/cold environments (e.g., near heating vents, winter doors)
- Less accurate than AI vision
- Some privacy concerns (still a camera, even if thermal)
Best for: Fashion, grocery, footwear stores (moderate to high traffic)
Infrared Beams (Single-Point)
How it works: A light beam crosses the doorway. When a person breaks the beam, it counts.
Pros:
- Good accuracy (90–95%) if calibrated well
- Very affordable (£200–500)
- Simple to understand and troubleshoot
- Minimal privacy concerns
Cons:
- Only works for single entry/exit points
- Struggles with crowds (simultaneous people = miscount)
- Can be triggered by animals, carts, or reflections
- Not ideal for stores with multiple doors
Best for: Small stores with one entrance; budget-conscious retailers
Beam-Break (Dual-Beam Budget)
How it works: Two infrared beams at different heights. Software determines direction by which beam is triggered first.
Pros:
- Cheapest option (£100–300)
- Simple installation (10 minutes)
- No calibration required
Cons:
- Lowest accuracy (70–80%)
- Fails in sunlight or near windows
- Unreliable with crowds
- Limited vendor support
- Will give you bad data at scale
Best for: Very small boutiques or temporary pop-ups only; not recommended for serious retail analytics
WiFi-Based (Passive Counting)
How it works: Counts mobile phones connecting to your store's WiFi network as a proxy for foot traffic.
Pros:
- No additional hardware (if you have WiFi)
- Works for multi-store chains (counts across all locations)
- Captures customer behavior (dwell time, repeat visits)
Cons:
- Very inaccurate (30–50% of visitors have WiFi off or use mobile data)
- Privacy concerns (tracks individuals)
- Skews towards younger, tech-savvy demographics
- High subscription cost (£200–500/month for small stores)
Best for: Not recommended as a primary counter; useful as a supplementary tool only
Part 4: Solution Comparison Table
| Solution | Technology | Accuracy | Setup Time | Hardware Cost | Monthly Cost | Shopify Integration | Best For |
|---|---|---|---|---|---|---|---|
| Hoxton Convert | AI Vision | 98% | 20–30 min | £600–900 | £60–150 | Native App | Shopify retailers; any store size |
| Dor | Thermal | 85–90% | 20–40 min | £500–800 | £40–80 | Shopify App | Fashion, grocery, mid-traffic |
| Storetraffic | AI Vision / Thermal | 90–97% | 30–45 min | £400–1,200 | £50–120 | API (not native) | Multi-store chains, enterprise |
| RetailNext | AI Vision | 98%+ | 60–120 min | £2,000–5,000+ | £200–500+ | API / Custom | Enterprise, large chains |
| Budget Beam-Break | Dual Infrared | 70–80% | 10–15 min | £100–300 | £20–40 | None | Tiny stores, temporary only |
Part 5: Detailed Solutions
Hoxton Convert
Overview: Designed from the ground up for Shopify retailers. AI vision-based with native Shopify POS app.
Key features:
- 98% accuracy (third-party tested)
- Native Shopify app (one-click setup)
- Real-time dashboard in Shopify POS
- Automatic conversion rate calculation
- 30-day free trial
- UK/US based support
Cost:
- Hardware: £600–900 (one-time, or lease available)
- Monthly: £60–150 depending on tier
- Year 1 total: £600–900 + (12 × £60–150) = £1,320–2,700
Pros:
- Seamless Shopify integration
- Fastest setup for Shopify users
- Excellent accuracy
- Conversion rate calculated automatically
- Free trial, no credit card needed
Cons:
- Slightly higher monthly cost than some competitors
- Requires reliable WiFi
- Not ideal for outdoor/covered outdoor spaces
Who it's for: Shopify retailers who want the fastest, easiest setup with best accuracy. Single or multi-store operations.
Rating: 9/10 for Shopify retailers
Dor
Overview: Thermal sensor company with a Shopify app. Popular in Europe.
Key features:
- 85–90% accuracy
- Shopify app available
- Good customer support
- Affordable hardware
- Heatmap reporting (shows where people stand in-store)
Cost:
- Hardware: £500–800
- Monthly: £40–80
- Year 1 total: £500–800 + (12 × £40–80) = £980–1,760
Pros:
- Cheaper than Hoxton Convert
- Thermal cameras are proven technology
- Heatmap feature is useful for store layout optimization
- Good for fashion/apparel stores
Cons:
- Slightly lower accuracy than AI vision
- Can struggle in extreme temperatures
- Fewer integrations outside Shopify
Who it's for: Shopify retailers on a budget, especially fashion/apparel stores.
Rating: 7.5/10 for Shopify retailers
Storetraffic
Overview: Established player with both AI and thermal options. Strong in multi-store deployments.
Key features:
- 90–97% accuracy depending on sensor type
- API integration (not native Shopify app, but integrates via webhooks)
- Excellent multi-store analytics
- Historical data & trend analysis
- Custom reporting
Cost:
- Hardware: £400–1,200 (varies by sensor type)
- Monthly: £50–120
- Year 1 total: £400–1,200 + (12 × £50–120) = £1,000–2,640
Pros:
- Flexible sensor options (choose AI or thermal)
- Best for multi-location retailers
- Strong analytics backend
- Good data export options
Cons:
- API integration requires more technical setup than native app
- Slightly longer onboarding than Hoxton Convert
- No auto-calculation of conversion rate in Shopify (you calculate it yourself)
Who it's for: Multi-store chains, retailers needing deep custom analytics, tech-savvy Shopify merchants.
Rating: 7/10 for single-store Shopify retailers; 8.5/10 for multi-store
RetailNext
Overview: Enterprise-grade people counting with advanced analytics. Focuses on large chains and shopping centers.
Key features:
- 98%+ accuracy (industry-leading)
- AI vision with heat mapping
- Supports 100+ locations
- Advanced behavioral analytics
- Professional installation & support
Cost:
- Hardware: £2,000–5,000+ per location
- Monthly: £200–500+ per location
- Year 1 total: £2,000–5,000 + (12 × £200–500) = £4,400–11,000
Pros:
- Highest accuracy and most reliable
- Best-in-class customer support (on-site installation)
- Designed for enterprise scale
- Professional dashboards and white-label options
Cons:
- Very expensive (10x+ more than Hoxton Convert)
- Overkill for small/medium Shopify stores
- Long sales cycles (weeks or months to implement)
- No native Shopify app (custom integrations only)
Who it's for: Large retail chains, shopping centers, luxury brands with unlimited budgets.
Rating: 10/10 for enterprise; 2/10 for small Shopify stores (not recommended)
Budget Beam-Break Counters
Overview: Cheap infrared sensors sold via Amazon, eBay, or generic suppliers.
Cost:
- Hardware: £100–300
- Monthly: £20–40 (or one-time purchase with no subscription)
- Year 1 total: £100–300 + (12 × £20–40) = £340–780
Pros:
- Cheapest entry point
- Simple installation
- No calibration needed
Cons:
- Very low accuracy (70–80%)
- No Shopify integration (manual data entry)
- Fails in sunlight
- Triggers on animals, shopping carts, shadows
- Unreliable data at scale
- No vendor support
Who it's for: Not recommended for serious retail analytics. Only viable for temporary pop-ups or single-person boutiques who want to test the concept.
Rating: 3/10 for Shopify retailers (avoid)
Part 6: Quick Recommendation by Store Type
Single Store, Under £10k Annual Budget
Best choice: Hoxton Convert (AI vision, native Shopify app)
Runner-up: Dor (thermal, cheaper, good accuracy)
Single Store, Under £1,500 Annual Budget
Best choice: Dor or budget beam-break
Note: You're sacrificing accuracy for price. Accept that data will be 10–20% off.
Multi-Store Chain (3–10 locations)
Best choice: Storetraffic (API integration, strong multi-store analytics)
Runner-up: RetailNext (if budget allows and enterprise features needed)
Enterprise (20+ locations)
Best choice: RetailNext (designed for scale, professional support)
Alternative: Storetraffic (more flexible, better integration ecosystem)
Shopify Store First Time Trying People Counting
Best choice: Hoxton Convert free trial
Why: 30 days free, no setup friction, integrated in Shopify dashboard. You'll know in 30 days if it's right for you.
Part 7: Integration Depth Matters More Than You Think
Here's a scenario:
Scenario A: No Integration
- You have a people counter in your store.
- Every evening, you manually log into the people counter's web portal.
- You download a CSV file of the day's visitor count.
- You open a spreadsheet, paste in the visitor number.
- You pull transaction data from Shopify POS (another manual step).
- You calculate conversion rate with a formula.
- You paste the result into a dashboard.
- Time: 10–15 minutes per day. Error-prone. Boring.
Scenario B: API Integration
- Your people counter automatically sends visitor data to Shopify POS via an API every hour.
- Shopify calculates conversion rate automatically.
- You log into your Shopify POS dashboard and see conversion rate at a glance.
- Time: 30 seconds per day. Reliable. Actually useful.
Scenario C: Native Shopify App (Best)
- You install the people counter's Shopify app in 2 minutes.
- Real-time visitor count appears in your Shopify POS dashboard.
- Conversion rate auto-calculates and updates every minute.
- You get mobile notifications if foot traffic drops unexpectedly.
- Time: 30 seconds per day. Real-time. Actionable.
The lesson: A cheaper people counter with no Shopify integration will save you £50/month but cost you 10–15 minutes per day in manual work. Over a year, that's 50+ hours of busywork. Choose based on integration, not just price.
Part 8: How to Choose — Decision Framework
Answer these questions in order:
1. What's your annual budget?
- Under £1,500: Budget beam-break or Dor (thermal)
- £1,500–3,000: Hoxton Convert or Storetraffic
- £3,000+: RetailNext or high-end Storetraffic
2. How many locations do you have?
- 1 location: Hoxton Convert or Dor
- 2–5 locations: Storetraffic
- 5+ locations: Storetraffic or RetailNext
3. Are you comfortable with technical setup?
- No: Hoxton Convert (native Shopify app, done in 10 minutes)
- Yes: Storetraffic (API integration, more customizable)
4. How important is accuracy?
- "Nice to have": Dor or Storetraffic (85–97%)
- "Critical": Hoxton Convert or RetailNext (98%+)
5. Do you want a free trial first?
- Yes: Hoxton Convert (30-day free trial, no credit card)
- No: Any of the above (but ask about trials anyway)
Part 9: Setup Comparison — Timelines
Here's what to expect for each solution:
| Solution | Hardware Install | WiFi Setup | Shopify Integration | Calibration | Total Time |
|---|---|---|---|---|---|
| Hoxton Convert | 10 min | 3 min | 5 min (native app) | 2 min | 20 min |
| Dor | 10–15 min | 5 min | 10 min (Shopify app) | 5 min | 30–35 min |
| Storetraffic | 15 min | 5 min | 30 min (API setup) | 5 min | 55 min |
| RetailNext | 60–120 min | On-site tech | 30+ min (custom) | 30 min | 2–4 hours |
| Budget Beam | 5–10 min | N/A | Manual (not integrated) | N/A | 5–10 min |
If setup time matters (and it should), Hoxton Convert wins.
Part 10: Key Takeaways & Final Thoughts
- Accuracy matters: A 70% accurate counter gives you bad data. Aim for 95%+ (AI vision or infrared beams).
- Integration is worth paying for: A native Shopify app (Hoxton Convert) or API integration (Storetraffic) saves you 10+ minutes per day of manual work.
- Your store size dictates the choice:
- Single store + budget-conscious: Dor
- Single store + want best setup: Hoxton Convert
- Multi-store: Storetraffic
- Enterprise: RetailNext
- Free trials exist: Hoxton Convert offers 30 days free. Use it to test before committing.
- The real ROI is in action: Owning a people counter only matters if you use the data to improve conversion rate. Pick one that integrates with Shopify POS so you actually look at it.
Related Reading
- How to Track In-Store Conversion Rate with Shopify POS
- Shopify POS Analytics: 5 Metrics You're Missing
- Hoxton Convert for Shopify
- Hoxton Convert: Overview
Ready to Find the Right People Counter?
If you've narrowed down your choice and want to try the Shopify-native option with the fastest setup and highest accuracy, start a free 30-day trial with Hoxton Convert. No credit card required.
[Start Your Free Trial] →
Or browse our comparison guide above and pick the solution that fits your store.
Last updated: February 2026
