Retail analytics turns visitor movement into actions that lift conversion, right-size staffing, and grow basket value. With privacy-safe people counting sensors and dashboards, you can predict traffic, fix bottlenecks, and prove what truly drives sales.
Most stores convert only 10–20% of visitors. A 2–3 percentage point lift in conversion often outperforms heavy promotions. Track the funnel—visitors → engaged → buyers—by hour and department to see where you’re leaking sales.
Small coordinated gains (+5% traffic, +2pp conversion, +3% basket) compound into double-digit growth without racing to the bottom on price.
Footfall is patterned by weekday, weather, salary cycles, and campaigns. Use 8–12 weeks of history to forecast traffic by hour. Plan staffing, replenishment, and tasks to the forecast—not habit.
Playbook:
A flat rota wastes peak potential. Align associate presence to predicted peaks to shorten queues and boost assisted selling.
Stop guessing if your window, endcap, or entrance screen worked. With zone-level counts you can compute qualified exposures (people who actually passed the visibility cone long enough) and compare uplift to POS or SKU mix.
Glossary — Qualified Exposures: Passersby within a sign’s visibility cone for long enough to reasonably register the message; derived from retail analytics around that asset.CountMatters solutions process aggregate, non-identifying data from people counting sensors. We minimize data collection, apply strict retention, and never use facial recognition. Your analytics stay GDPR-compliant without compromising insight.
We combine best-in-class people counting sensors with analytics that retail teams actually use—forecasts, zone flows, exposure math, and conversion diagnostics.
Book a 20-min working session — we’ll map your three levers and return an hour-by-hour plan.