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.
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.
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.
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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.
Correlate footfall with POS by hour and door. Spot promotion lift, rain-resilience, and true window impact.
Plan teams around real peaks, not averages. Trigger alerts when entrances surge or when dwell indicates growing queues.
Test entrance changes and signage. Compare entrances A/B and reassign greeters to where they move conversion most.
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.
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.
Once drawings and network are approved, sites typically go live in days. We run remote acceptance tests to keep momentum high.
We calibrate sensors, validate against ground truth, and monitor drift over time—so numbers stay trustworthy.
We avoid camera-based identification. Our approach relies on privacy-ready sensors and on-device anonymisation.
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.
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