July 22, 2026 – FOORIR has shared new insights into how retailers are changing their approach to traffic measurement by moving from traditional footfall counting toward Qualified Store Visitors analysis.

For many years, retailers have relied on visitor numbers to evaluate store performance. However, Raw Footfall Data only shows the total number of people detected entering a location and may include employees, delivery workers, repeat visitors, and other non-customer traffic.

As retail businesses become more data-driven, understanding visitor quality has become increasingly important. Qualified Store Visitors focuses on identifying meaningful customer traffic and providing a clearer view of actual shopping opportunities.

AI-powered people counting technology is helping retailers improve the accuracy of visitor measurement. By combining intelligent algorithms with traffic analytics, businesses can better analyze customer flow, exclude non-target traffic, reduce repeat counting, and understand visitor behavior patterns.

These capabilities support more accurate Retail Visitor Analytics and help retailers improve several key areas, including conversion rate analysis, employee scheduling, store performance evaluation, and customer experience optimization.

Traditional footfall statistics answer the question of how many people enter a store, while modern traffic intelligence helps answer a more valuable question: how many visitors represent real business opportunities.

FOORIR continues to focus on AI-based traffic intelligence solutions that help retailers transform basic visitor counting into actionable insights. By improving the accuracy and quality of customer traffic data, businesses can make more informed decisions in an increasingly competitive retail environment.

More information about FOORIR’s AI people counting solutions is available at:

https://www.foorir.com/