WI-FI FOOTFALL ANALYTICS — OCCUPANCY MONITORING WITHOUT NEW HARDWARE
Turn your existing access points into retail footfall analytics and a live occupancy monitoring solution. With privacy-first configuration, Wi-Fi telemetry reveals visitor flow, dwell, and conversion across large spaces—without deploying new hardware or disrupting operations.
THE CHALLENGE — LARGE AREAS, SHARP PEAKS, LIMITED INSIGHT
Stores, venues, and public spaces struggle to see how visitors move between entrances, zones, and products. Manual counts miss peaks; isolated door counters lack in-venue flow. Teams need a scalable way to map movement, dwell, and repeat visits.
THE SOLUTION — USE THE NETWORK YOU ALREADY OWN
Most enterprise APs can emit anonymized probe data suitable for analytics when configured correctly. CountMatters enables privacy-preserving Wi-Fi insights that complement entrance visitor counting sensor data (e.g., partners like Xovis) to balance accuracy and coverage:
Coverage: zone-level flow, heat/cold areas, and dwell distributions.
Speed: near-real-time dashboards for daily operations.
Live occupancy & thresholds: know current load and trigger action playbooks.
Flow & paths: see how visitors navigate between zones and promotions.
Dwell & stickiness: quantify engagement per area, hour, and weekday.
Campaign lift: compare pre/post flows around featured products or events.
IMPLEMENTATION — SENSORS, AP CONFIG, DASHBOARDS
1) Entrance sensors. Where exact counts matter (billing, compliance, safety), install entrance-grade people-counting sensors. This anchors accuracy for KPIs like conversion.
2) Wi-Fi nodes. Configure supported APs for anonymized telemetry and zone mapping. Validate flow signals against sensor truth sets before go-live.
3) Dashboards. Role-based views: store teams see hour-by-hour flow and alerts; ops sees multi-site trends; marketing sees campaign and zone uplift.
PRIVACY & GDPR — PRIVACY-BY-DESIGN, NO BIOMETRICS
CountMatters uses aggregated, non-identifying metrics. No faces, no biometrics, no personal profiles. For Wi-Fi analytics we apply purpose limitation, minimization, appropriate retention, DPIA where required, and clear signage. Data remains operational—optimized for safety, staffing, and service quality.
Start with your current network, validate against entrance counts, then scale. Teams use thresholds to open lanes, rebalance staff, and tune layouts. Over time, you’ll align labor to demand, reduce queue pain, and lift conversion.
ROI
A small uptick in conversion can have outsized impact. See how visitor data changes the math.
Your scenario
Your baseline. Typical retail: 8–12%.
Lift is measured in absolute percentage points (e.g., +2 pp from 10% → 12%).
Currency is auto-detected for display.
+0% % relative lift
What it means:
What it means
Projected revenue uplift (per month)
Additional orders (per month)
Validated in production; typical accuracy 94–98% with on-device anonymization.
MINI-FAQ
HOW DOES WI-FI COMPARE TO DOOR SENSORS?
Door sensors are the gold standard for ingress/egress accuracy. Wi-Fi complements them with zone flow and dwell coverage—together they close the loop.
DO WE NEED NEW HARDWARE?
Usually not. Many Aruba/Cisco/HPE/Ruckus deployments are compatible. If coverage is thin, add APs strategically.
CAN THIS ESTIMATE CONVERSION?
Yes—pair entrance counts with POS/transactions and staff schedules. Wi-Fi clarifies where traffic goes and why some zones underperform.
WHAT ABOUT PRICING?
We tailor to site size and data scope. Focus is on fast time-to-value and measurable operational gains (not lock-ins).
CONCLUSION — RETAIL FOOTFALL ANALYTICS THAT SCALE
With Wi-Fi and entrance sensors working together, an occupancy monitoring solution delivers reliable, privacy-first insight—so teams act faster, guests queue less, and floors convert more.
Sources (plain text): Industry research on Wi-Fi analytics and occupancy; European data protection guidance on Wi-Fi tracking; retail operations studies on flow vs. conversion.
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