Investor interest in single-tenant retail properties is strong, with recent notable transactions in Georgia and South Carolina. The success of these properties hinges on sophisticated traffic data analysis, which supports fast-casual restaurants and specialized service tenants like plasma centers. Robust, evidence-based traffic analytics enable better location decisions in highly competitive retail markets.

The Science Behind Better Location Decisions

Ticon’s road traffic analytics platform uses multivariate analysis of diverse data, including mobile and navigation, DOT counters, connected car data, and demographic information. This integration with machine learning yields accurate, reliable AADT estimations with a mean absolute percentage error below 20% for 90% of road segments across various states and road classes, outperforming competitors.

Why Historical & High-Granularity Data Matters

Short-term or single-method traffic counts are often unreliable. Traditional detectors can have up to 17% data inaccuracies and fail to adjust for seasonal or daily fluctuations, raising decision errors above 40%. Ticon’s approach cross-verifies year-round data and filters analyses for seasonal and demographic shifts, delivering high-resolution temporal traffic patterns vital for tenant revenue projections.

Advanced Traffic Monitoring for ROI and Operational Excellence

Ticon’s Traffic Load Monitoring Tool produces heat maps to optimize retailer operations like staffing. ITS optimizations based on granular data can reduce travel delays by up to 50%. Continuous spatial and temporal data supports before-and-after analyses, enabling evidence-based validation of site potential and operational cost management, reducing risks of underperformance.

Practical Takeaways and What’s Next

Comprehensive, multi-source historical traffic data is essential in competitive real estate markets for site selection and smarter urban mobility planning. Ticon’s solutions deliver high-accuracy AADT estimates, minimize decision risks, and support functions from revenue projection to ITS optimization. These capabilities provide a competitive edge to high-value retail tenants and investors, underpinning the future of adaptive operational excellence and mobility improvements.