COMBINED FOOTFALL DATA: WIFI + 3D/AI SENSORS FOR BETTER DECISIONS

Retailers, municipalities, and venue operators need two things from visitor analytics: coverage at scale and precision where it matters. By combining WiFi-based insights with 3D/AI people-counting sensors, CountMatters delivers both: reliable totals, flows, dwell times, occupancy, and conversion signals—without calling anything a “camera,” and with GDPR-first design throughout.

THE PROBLEM: PATCHY DATA, COSTLY SETUPS, AND COMPLIANCE RISKS

Single-method approaches struggle. WiFi alone can miss exact thresholds at doors. Sensors alone can be costly to blanket large sites. And any approach must stay firmly compliant. Fragmented data leads to weak KPIs: you can’t confidently tie staffing, service levels, or marketing impact to actual traffic. Decisions drift from evidence to guesswork.

THE COUNTMATTERS APPROACH: BLEND WIFI SCALE WITH SENSOR PRECISION

CountMatters unifies two complementary sources:

• WiFi analytics for broad, cost-effective coverage using existing access points—ideal for understanding unique visitors, dwell, repeat visits, and zone-to-zone flows.
• 3D/AI sensors for high-precision entries/exits, accurate occupancy, and queue metrics at critical points like doors, escalators, and service counters.

Together they form a single truth-set in our dashboards. You get wide-angle insight from WiFi and ground-truth accuracy from sensors—aligned, calibrated, and ready for action.

PROOF: WHY COMBINED DATA WINS

When organizations merge these sources, they typically see: stronger confidence in KPIs, clearer staffing triggers, and faster identification of bottlenecks. The blended method reduces uncertainty at entrances/exits and extends visibility across large spaces (malls, high streets, campuses) without overspending on hardware.

USE CASES ACROSS SECTORS

RETAIL & SHOPPING DESTINATIONS

• Conversion & staffing: Use precise entries with WiFi dwell to align teams to real demand. Trigger “ready to serve” staffing when occupancy or queue thresholds hit.
• Merch & layout testing: Pair zone flows with sensor counts to see which paths convert and which stalls create congestion.
• Campaign attribution: Compare uplift in unique visitors and conversion during promotions to validate ROI.

MUNICIPALITIES & PUBLIC SPACES

• Event planning: Measure attendance, peak hours, and crowd dispersion across streets and squares to optimize safety and services.
• Mobility & placemaking: Understand how footfall interacts with transit nodes and public amenities; improve flow and dwell quality.
• Policy & investment: Base budgets on evidence: sustained increases in unique visitors and dwell justify place-making investments.

TRANSPORT & VENUES

• Queue & safety: Doorway sensors maintain exact occupancy; WiFi shows corridor build-ups so staff can redirect flow quickly.
• Service level targets: Alert on dwell and queue thresholds to protect the passenger experience.
• Concessions revenue: Link dwell near F&B and shops to sales to refine tenant mix and staffing.

IMPLEMENTATION: SENSORS WHERE IT COUNTS, WIFI EVERYWHERE ELSE

1. Map objectives: Define your primary KPIs (e.g., unique visitors, conversion, occupancy, queue time).
2. Instrument smartly: Place 3D/AI people-counting sensors at key entrances/exits and queues. Use existing WiFi to extend coverage across corridors, squares, and open areas.
3. Calibrate & fuse: Use sensor data as ground truth to calibrate WiFi trends and remove bias or overcounting.
4. Act in real time: Dashboards and alerts translate insights into staffing and service decisions.

The platform is sensor-agnostic and integrates with leading providers such as Xovis, while remaining “no rip-and-replace.” Start light, then scale hardware only where precision matters most.

ROI & OPERATIONAL IMPACT

• Lower TCO: Reuse WiFi infrastructure; add sensors only where needed.
• Higher accuracy: Sensor truth refines WiFi trends for reliable KPIs.
• Faster decisions: Alerts on occupancy, dwell, and queues reduce wait times and protect service levels.
• Marketing clarity: Connect footfall and dwell uplift to campaign periods to validate spend.

MINI-FAQ

HOW DOES WIFI COUNTING WORK WITHOUT IDENTIFYING PEOPLE?

Routers observe anonymized device signals and aggregate them into metrics like unique visitors and dwell. No personally identifiable information is stored.

WHERE SHOULD WE INSTALL 3D/AI SENSORS FIRST?

Start with the doors and queuing points that define occupancy and service levels. Add more units at pinch-points as needed.

HOW FAST CAN WE GO LIVE?

Most deployments begin with existing WiFi to deliver coverage quickly, then add sensors in priority locations. Roll-outs are staged with minimal disruption.

CAN WE USE OUR EXISTING SENSORS?

Yes. CountMatters integrates with leading people-counting sensor technology (including vendors like Xovis) and unifies the data into one dashboard.

CONCLUSION: SCALE + PRECISION = TRUSTED KPIS

When you combine WiFi coverage with 3D/AI precision, you replace guesswork with evidence. You get accurate entries, actionable dwell and flow, and reliable occupancy—so you can staff confidently, plan smarter events, and improve experiences across every location.

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