TURNOVER + REAL-TIME PEOPLE COUNTING AT RØA TORG
Lead: Røa Torg in Oslo chose CountMatters’ people-counting sensors and turnover registration (POS) to go beyond visitor traffic and measure conversion in real time. By pairing precise entrance counts with receipt data, the center now tracks KPIs like conversion rate (receipts ÷ visitors), occupancy, and dwell—unlocking smarter staffing, better tenant collaboration, and higher ROI.
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THE PROBLEM: TRAFFIC WITHOUT CONTEXT
Footfall alone can mislead. Peaks look promising, but without POS turnover you can’t tell if traffic converts, which tenants underperform, or how staffing should flex per entrance and hour. Malls that treat people-counting as a simple “door counter” miss the operational levers: tenant mix, marketing, and service moments.
THE SOLUTION: SENSOR DATA + POS TURNOVER
CountMatters deploys ceiling-mounted people-counting sensors (e.g., Xovis) at entrances and zones, then unifies visitor KPIs with POS turnover. The result is a clean, privacy-aware funnel: entrances → occupancy → dwell → receipts → conversion. Operations teams see patterns by hour, weather, campaign, and event. Leasing teams benchmark stores fairly—by opportunity and outcome.
“People counting with real-time occupancy is a great security for both employees and visitors at Røa Torg — we always know how many are inside,”
— Gry Eklund Strat, Marketing Manager, Røa Torg
PROOF POINTS: WHY IT WORKS
- Industry baselines: Retail conversion rates commonly hover around ~2.5–3% online, varying by sector and ticket size — a reminder that traffic ≠ sales without context. (See Sources.)
- Pairing footfall with POS: When footfall analytics are combined with sales, teams get a complete view of performance and can act where it matters. (See Sources.)
- Occupancy momentum: The occupancy-sensor market has grown steadily, reflecting adoption across malls, offices, and venues seeking real-time utilization. (See Sources.)
- Operational wins: People-counting data consistently supports staffing optimization, layout decisions, and campaign timing. (See Sources.)
USE CASES FOR MALLS & TENANTS
REAL-TIME SAFETY & EXPERIENCE
Live occupancy helps teams manage queues, entrances, and peak flows while maintaining a comfortable in-mall experience.
CONVERSION & TENANT PERFORMANCE
Blend entrance traffic with receipts per store to see which tenants turn opportunity into sales. Align leasing, merchandising, and joint marketing with evidence—not guesswork.
STAFFING & SCHEDULING
Shift rosters to match true demand by hour and entrance. Protect service quality on peak days and trim during troughs.
CAMPAIGN EFFECTIVENESS
Correlate campaign days with visitor lifts and incremental receipts. Prove impact beyond impressions by tying media directly to conversion.
IMPLEMENTATION AT RØA TORG
- Survey & Placement: Entrance-level sensors positioned for counting accuracy and zone-to-store attribution.
- Data Unification: POS turnover ingested through secure feeds; visitor KPIs standardized across tenants.
- Dashboards: Role-based views for operations, leasing, and marketing—one source of truth.
- Privacy Controls: Sensor tech configured for counting only (no identification), with strict governance and data minimization. See GDPR note below.
ROI & OPERATIONAL IMPACT
- Higher Conversion: Focus on high-opportunity hours and entrances to lift receipts, not just traffic.
- Tenant Relations: Transparent benchmarks (visitors, occupancy, receipts) support fair discussions and targeted help.
- Efficiency: Smarter staffing and energy use following real usage patterns.
MINI-FAQ
How fast can we go live?
Single entrances and stores can be live in days post-survey; multi-site portfolios follow a phased rollout with standardized templates.
Do you integrate with BI and POS?
Yes — APIs and exports connect visitor and occupancy KPIs with POS, staffing, and marketing data for end-to-end funnel analysis.
How accurate are the sensors?
Enterprise-grade, ceiling-mounted sensors deliver high accuracy for entrances and internal zones when installed per guidelines.
Is it GDPR compliant?
Yes. CountMatters configures people-counting sensors for counting only—no identification or facial recognition. We apply data minimization, secure processing, and clear governance.
GDPR & PRIVACY NOTE
CountMatters’ approach aligns with EU data-protection principles: purpose limitation, minimization, and security-by-design. Deployments avoid identification; data is aggregated for KPIs like occupancy and conversion. We track regulatory guidance from European authorities to keep practices aligned as rules evolve.
Talk to an Expert — Lift Conversion
Real-Time Occupancy Revenue Impact
Retail wait time increases and satisfaction impact
Queues Kill Revenue After 4–5 Minutes
Customer abandonment rates by wait time threshold
Source: Qminder consumer surveys
Wait Times Up; Satisfaction Down
Retail wait time increases and satisfaction impact
Source: Waitwhile survey; finance.yahoo.com
Every +1% Dwell → +1.3% Sales
Direct correlation between dwell time and revenue
Source: RetailWire citing Path Intelligence
Want outcomes like these? Explore our case studies.
Sources
Shopify — “Retail Foot Traffic Data: Use Cases & How to Collect” (2025).
Echo Analytics — “3 ways footfall data improves retail decisions” (2025).
Occuspace — “Occupancy Sensors: Practical Applications and Benefits” (2025).
Ruler Analytics — “Average Conversion Rate by Industry” (2025).
Smart Insights — “E-commerce conversion rate benchmarks (2025 update)” (2025).
Vemco Group — “Top 5 Benefits of Implementing People Counting Systems in Shopping Malls” (2024).
CountMatters — “Retail Footfall Analytics: From Gut Feeling to Data-Driven Decisions” (2025).
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