DANSK OUTLET: FOOTFALL & SALES ANALYTICS ACROSS 33 STORES
Dansk Outlet is standardising on CountMatters to bring retail footfall analytics and sales data together across 33 locations. With privacy-ready people counting sensors and real-time dashboards, the team can see entrances, conversion, basket size, sales per sqm, and store-level trends in one place—ready to act.
THE CHALLENGE
Growing a national franchise demands consistent KPIs, not spreadsheets that vary by store. Without unified footfall and POS signals, chains struggle to compare performance fairly, optimise staffing, or diagnose why a busy Saturday produced lower-than-expected sales.
THE COUNTMATTERS SOLUTION
CountMatters connects privacy-preserving people counting sensor technology at each entrance with POS data, enriching both streams with context such as weather, campaigns, and peak periods. The result is a shared source of truth for operations and marketing.
- Unified KPIs: Footfall, entrances per door, conversion rate, basket size, sales per sqm.
- Real-time visibility: Dashboards and alerts expose peaks and bottlenecks as they happen.
- Chain-wide comparability: Standardised metrics and store groupings for fair benchmarking.
- Privacy by design: No identifying images; on-device anonymisation; EU hosting (GDPR-aligned).
- Open ecosystem: Sensor-agnostic with support for leading partners like Xovis.
See Case Studies — Optimize Retail Conversion
PROOF
Chains that align footfall with POS typically see clearer attribution for campaigns, faster staff adjustments during peaks, and better conversion through smarter entrance management and queue control. Store managers get practical levers, while HQ gets reliable cross-store comparisons.
USE CASES
CONVERSION & CAMPAIGN ANALYSIS
Correlate footfall with POS by hour and door. Spot promotion lift, rain-resilience, and true window impact.
STAFFING & OPERATIONS
Plan teams around real peaks, not averages. Trigger alerts when entrances surge or when dwell indicates growing queues.
STORE LAYOUT & ENTRANCES
Test entrance changes and signage. Compare entrances A/B and reassign greeters to where they move conversion most.
IMPLEMENTATION
Deployment is staged by region. Preconfigured gateways arrive ready to connect; stores validate counts against ground truth; dashboards light up. Rollout velocity is measured in days per site, with remote QA baked in.
PRIVACY & GDPR
CountMatters uses privacy-preserving sensors that never identify individuals. Data is minimised and processed at the edge, then hosted in the EU. We provide DPIA templates and role-based access controls.
ROI & OPERATIONAL IMPACT
- Better conversion: Align staffing and entrance flow to traffic reality.
- Lower operational friction: Less manual counting, more automated alerts.
- Fair comparisons: Standardised KPIs expose what truly drives performance.
MINI-FAQ
HOW FAST CAN 33 STORES GO LIVE?
Once drawings and network are approved, sites typically go live in days. We run remote acceptance tests to keep momentum high.
WHAT ABOUT DATA QUALITY?
We calibrate sensors, validate against ground truth, and monitor drift over time—so numbers stay trustworthy.
DO YOU USE CAMERAS?
We avoid camera-based identification. Our approach relies on privacy-ready sensors and on-device anonymisation.
CONCLUSION
By unifying retail footfall analytics with POS across 33 stores, Dansk Outlet equips every manager—store and HQ—with the same reality. That’s how chains convert more visitors into purchasing customers.
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
Tags:
public, Transforming with Footfall Data: A German Shopping, people counter, See All, All Posts, xovis3d, Why is it so important to know visitor frequency a, Hjalmar Brage, Søstrene Grene Partners with IMAS Group for Visito, Real-time Occupancy, retailJan 13, 2025 6:03:53 PM
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