Industry News
Shopify Spotlights Dor in New Retail Foot Traffic Data Guide — What It Means for People Counting Software
Shopify's latest blog post showcases Dor's thermal people counting sensors as a recommended way to collect retail foot traffic data and integrate it with POS systems. Here's what the industry should take away.
8 min read ·
Key Takeaways
- Shopify published a comprehensive retail foot traffic data guide that prominently features Dor as a recommended people counting solution
- The guide highlights thermal detection as a privacy-friendly, low-maintenance alternative to cameras and Wi-Fi tracking
- Shopify emphasizes the value of comparing foot traffic against POS transaction data to calculate true in-store conversion rates
- Dor's native Shopify POS integration is positioned as an advantage over competitors that require middleware or custom development
- This endorsement signals that people counting software is becoming a mainstream expectation for serious Shopify retailers
In a significant signal for the people counting software industry, Shopify has published a detailed guide on retail foot traffic data — and Dor's thermal people counting sensors feature prominently as a recommended solution. The article, published on Shopify's official blog, walks retailers through how to collect, analyze, and act on visitor data, with Dor positioned as the go-to option for merchants who want seamless POS integration without the complexity of camera-based systems.
What Shopify Published
Shopify's guide — titled 'Retail Foot Traffic Data: Use Cases & How to Collect' — is a comprehensive overview aimed at brick-and-mortar retailers who want to move beyond transaction-only analytics. The piece argues that successful retailers need to understand not just who bought, but who visited and didn't buy. It frames foot traffic data as essential for calculating in-store conversion rates, optimizing staffing, evaluating merchandising decisions, and measuring the real impact of marketing campaigns.
The article opens with a compelling scenario that many retailers will recognize: a customer browses your website, adds products to their cart, abandons the checkout — and then shows up at your physical store three days later. Without unified analytics connecting online behavior to in-store foot traffic, this entire customer journey stays invisible. It's a powerful framing that positions people counting software as the bridge between e-commerce analytics and physical store performance.
Dor Gets the Spotlight
Among the six foot traffic collection methods Shopify evaluates — mobile/GPS, thermal sensors, Wi-Fi analytics, video analytics, manual counting, and POS data — Dor's thermal people counter receives the most detailed treatment. Shopify specifically calls out Dor by name, linking directly to the Dor People Counter app in the Shopify App Store. The guide highlights several advantages that set Dor apart from competitors:
- Thermal sensing technology that anonymously counts visitors without capturing personal data
- Battery-powered installation that sticks above the entrance — no wiring, no IT setup
- Native integration with Shopify POS that provides a unified view of traffic, sales, inventory, and customer data
- Privacy-friendly design that avoids the compliance headaches of camera and Wi-Fi based systems
Unlike competitors' systems that require complex middleware to connect with your commerce platform, Dor's integration with Shopify provides a unified data view that lets you compare foot traffic alongside sales, inventory, and customer data — all within one platform.
Shopify Blog, 'Retail Foot Traffic Data: Use Cases & How to Collect'
This is a notable endorsement. Shopify could have kept the guide vendor-neutral, but the decision to name Dor specifically — and contrast its native integration against 'competitors' systems that require complex middleware' — suggests a deepening strategic relationship between the two companies. For retailers already on Shopify, the message is clear: Dor is the path of least resistance to foot traffic analytics.
Six Collection Methods Ranked
The Shopify guide evaluates six distinct approaches to collecting foot traffic data, each with tradeoffs. Here's how the methods compare based on the criteria Shopify highlights — and what people counting software buyers should consider when choosing between them.
| Method | Shopify's Take | Privacy Rating | POS Integration | Best For |
|---|---|---|---|---|
| Thermal Sensors (Dor) | Featured recommendation | ★★★★★ | Native Shopify app | Single-entrance retailers |
| AI Video Analytics | Comprehensive but complex | ★★★☆☆ | Requires middleware | Large stores needing heatmaps |
| Wi-Fi Analytics | Good for return-visit tracking | ★★☆☆☆ | Custom integration | Malls & multi-tenant spaces |
| Mobile/GPS/Beacons | Useful but opt-in limited | ★★☆☆☆ | Custom integration | Retailers with loyalty apps |
| POS Data Only | Transaction-only baseline | ★★★★★ | Native | Budget-conscious stores |
| Manual Counting | Affordable but limited | ★★★★★ | None | Pop-ups & seasonal events |
Why POS Integration Matters
The most important thread running through Shopify's guide is the emphasis on connecting foot traffic data with POS transaction data. Shopify argues that visitor counts in isolation have limited value — the real insight comes from the conversion rate calculation: transactions divided by total visitors. This metric reveals whether a slow sales day was caused by low traffic (a marketing problem) or poor conversion (a staffing or merchandising problem). These are fundamentally different diagnoses that require different solutions.
Retailer Pain Points Addressed by Integrated Foot Traffic + POS Analytics
- Can't measure conversion rate — severity: 92
- Staffing misaligned to traffic — severity: 78
- No marketing attribution — severity: 71
- Online-to-offline gap — severity: 85
- Lease negotiation blind spot — severity: 54
Shopify also makes the point that their platform is unique in natively unifying POS and e-commerce data — and that adding Dor's foot traffic layer completes the picture. Retailers get a single dashboard showing online browsing, in-store visits, and transactions across all channels. Independent research cited in the guide found this unified approach reduces total cost of ownership by 22% on average.
What This Means for the Industry
Shopify's decision to publish this guide — and to feature Dor so prominently — sends a clear signal: people counting software is moving from a nice-to-have to a mainstream expectation for physical retailers. When the world's largest commerce platform tells its merchants to start tracking foot traffic and recommends a specific tool to do it, that's not just content marketing. It's a roadmap for where retail analytics is heading.
For people counting software vendors, the takeaway is equally clear: native POS integration is no longer optional. Retailers don't want standalone dashboards that force them to manually cross-reference data. They want foot traffic numbers flowing into the same system where they manage everything else. Vendors that can offer plug-and-play integration with platforms like Shopify will capture the growing segment of SMB retailers now entering the foot traffic analytics space for the first time.
To explore how different people counting solutions compare on POS integration, accuracy, and pricing, visit our comparison table. Or read our buyer's guide for a step-by-step framework for evaluating vendors.