Platform
Traffic Analytics
Most retailers are making their most expensive operational decisions — staffing, scheduling, store hours — based on guesswork. RetailNext Traffic Analytics changes that. Powered by the AI-driven Aurora® sensor, it delivers 95–99% accurate foot traffic data and converts it into actionable intelligence that helps you staff smarter, measure true conversion, and improve store performance across your entire network.
The Power of 1%
Converting just one additional customer out of every hundred creates exponential profitability. Traffic Analytics gives you the accurate data to find that 1% and act on it.
Retail Intelligence That Drives What's Next
Purpose-built for physical retail. Real-time dashboards, AI-powered predictions, and POS integration turn foot traffic into strategic advantage.
Real-Time Data for Strategic Decision Making
Replace assumptions with validated insights — so every decision, from store level to the boardroom, is grounded in reality.
Accuracy that moves the needle.
95–99% accurate people counting, manually audited at every installation. Because a 1% improvement in conversion only means something if the data behind it is right.
Built for the decisions that DRIVE YOUR STORES.
Traffic Analytics gives every team the data they need — from the store floor to the boardroom.
No guesswork. No silos.
Turn More Browsers Into Buyers.
Most retailers think they know their conversion rate. Most are wrong — because without accurate traffic data, the denominator is a guess. Traffic Analytics connects real visitor counts to your POS data, giving you a true conversion rate you can act on and benchmark against.
- Connect foot traffic to transaction data for true conversion rate analysis
- Identify which stores, days, and dayparts are winning — and which are losing
- Benchmark conversion across your portfolio and against industry peers
- Surface conversion opportunities before they become missed sales
Right-Staff Every Store, Every Shift.
Overstaffing during quiet periods and understaffing when it counts — both cost you. Traffic Analytics uses AI-powered predictions to match your labor to actual and forecast traffic patterns, so every schedule is a data-driven decision, not a gut call.
- AI-powered staffing recommendations based on predicted traffic trends
- Reduce labor costs by aligning headcount to actual customer demand
- Interaction rate analytics to understand service engagements and compliance
- Maintain or improve customer experience standards while reducing payroll waste
Know Which Stores Are Winning, and Why.
Traffic-normalised metrics reveal what raw sales figures hide. Traffic Analytics lets you compare conversion rates, capture rates, and performance trends across your entire portfolio, so you can identify your top performers, understand what they're doing differently, and replicate it.
- Compare traffic, conversion, and yield metrics across your store network
- Identify top and bottom performers with normalized, apples-to-apples data
- Access the Benchmarks dashboard to compare against industry peers
- Turn performance visibility into accountability at every level of the business
Plan Ahead With Confidence.
Reactive retail is expensive retail. Traffic Analytics uses historical patterns and AI-powered predictions to give your teams advance visibility into what's coming — so you can plan staffing, promotions, and operations before the demand arrives.
- AI-powered traffic predictions based on historical patterns and seasonal trends
- Plan staffing and resources for peak periods, promotions, and events
- Passby analytics to optimize storefront capture rates ahead of key trading periods
- Occupancy monitoring for compliance, safety, and capacity planning



The POWER OF 1%.
A single percentage point improvement in conversion, labor efficiency, or shopper yield creates measurable, compounding profitability. Here's what that looks like in practice.
Shopper yield increase
Boggi Milano
Additional sales in 7 months
The Vitamin Shoppe
Conversion increase
Camper
Matt Evans
Ready to Find Your 1%?
Talk to our team. We'll show you exactly what RetailNext Traffic Analytics can accomplish for your business.
Common Questions
About the product
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How accurate is RetailNext people counting, and how is that accuracy verified?
Traffic Analytics delivers 95–99% accurate people counting using the AI-powered Aurora® sensor, which detects people up to ten times per second. Every installation is manually audited for accuracy at go-live, and HD video is available for independent validation (up to 30 days) — so you can trust the data from day one and over time.
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How is Traffic Analytics different from a basic foot traffic counter?
A basic counter tells you how many people walked in. Traffic Analytics connects those visitor counts to your POS data for a true conversion rate, adds AI-powered forecasting and staffing recommendations, excludes staff for customer-only metrics, and benchmarks performance across your fleet — turning a raw count into operational intelligence.
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How does Traffic Analytics help with staffing and labor optimization?
It forecasts traffic by store, day, and daypart, then recommends staffing matched to that predicted demand — so you cut overstaffing in quiet periods and protect coverage during peaks, reducing labor cost without sacrificing the customer experience.
About buying and implementing
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How does Traffic Analytics integrate with our existing POS and BI tools?
Traffic Analytics integrates with your POS, workforce management, and BI tools through standard APIs, so traffic and conversion data flows into the systems your teams already use for scheduling and reporting.
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How does RetailNext handle customer privacy and GDPR compliance?
RetailNext counts and measures shoppers anonymously — no personally identifiable data is stored — on a SOC2 Type II–compliant platform with configurable privacy controls, supporting GDPR and other regional data-protection requirements.
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What kind of ROI can retailers expect from Traffic Analytics?
ROI comes from the "Power of 1%" — small, compounding gains in conversion, labor efficiency, and shopper yield across your fleet. RetailNext customers have seen results such as a 40% shopper-yield increase (Boggi Milano), $6M in additional sales over seven months (The Vitamin Shoppe), and a 10% conversion increase (Camper).