FOOTFALL DATA TRANSFORMS RETAIL: A GERMAN CENTER’S JOURNEY

In this case study, the center team in Radolfzell modernized how they understand visitor behavior. By installing people counting sensors at every store entrance and feeding daily KPIs (turnover, transactions, items sold) into the CountMatters analytics platform, they elevated tenant communication, sped up reporting, and sharpened operational decisions.

FROM ENTRANCE COUNTS TO TENANT-LEVEL INSIGHT

For years, the center relied on footfall at main entrances only. In 2023, they expanded to store-level sensors. That shift revealed each tenant’s share of total footfall, enabling fairer benchmarking, faster issue detection (staffing, service), and targeted support.

OPEN DATA ACCESS BUILDS TRUST

With CountMatters, each tenant accesses their own metrics in a secure portal. The result: transparent performance reviews and more constructive conversations — grounded in the same, trusted numbers.

KPIS + FOOTFALL: ONE STREAMLINED WORKFLOW

Teams now input daily KPIs directly into the platform, unifying footfall and commercial outcomes. What used to be manual spreadsheet work is automated, saving hours per week and cutting administrative friction. Patterns across days, promotions, and seasons become visible — and actionable.

WHAT THE TEAM SAYS

“Access for all stores via the platform lets us review performance with tenants based on their own data. It’s simpler, faster, and more objective.”

OPERATIONAL WINS YOU CAN MEASURE

  • Better benchmarking: Compare like for like across brands and categories.
  • Faster issue detection: Spot outliers and address staffing or service gaps early.
  • Time saved: Replace manual KPI consolidation with automated ingestion and dashboards.
  • Tenant engagement: Shared, transparent numbers improve collaboration.

HOW IT WORKS: SENSORS, DASHBOARDS, PRIVACY

CountMatters deploys people counting sensor technology at entrances and strategic in-mall points. Dashboards combine live occupancy, tenant-level footfall, and sales KPIs for a full-funnel view. Role-based permissions keep data access clean across Center Management, Leasing, and Operations. We also integrate with leading sensor partners such as Xovis when relevant.

GDPR & PRIVACY NOTE

CountMatters follows privacy-by-design: no personally identifiable information, aggregated reporting, minimal retention, and strict access controls.

RESULTS AT A GLANCE

  • Tenant-level clarity: Understand each store’s contribution to center traffic and conversion.
  • Evidence-led leasing: Use transparent metrics to inform rent discussions and placements.
  • Program optimization: Link campaigns and events to changes in footfall and transactions.

PARTNERSHIP & SUPPORT

The center highlights CountMatters’ flexibility and responsiveness — constructive feedback loops, quick adjustments, and a practical mindset focused on solving real operational problems.

CONCLUSION

Moving from entrance-only counts to tenant-level sensors — and unifying KPIs in one platform — transformed how the center runs. With people counting sensors, transparent data access, and automated workflows, teams collaborate faster, tenants feel heard, and shoppers notice the difference.

Explore more outcomes in our case studies.

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

 
Post by Hjalmar Brage
Jan 13, 2025 6:06:41 PM

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