Investors and operators in retail are emphasizing location choices that ensure ROI by selecting sites where traffic is plentiful and qualified for stopping and spending. C-Site Insight employs an evidence-based approach by gathering detailed traffic data at the specific address rather than relying on generalized area proxies. This includes year-round directional AADT, 15-minute interval intraday profiles, seasonal monthly indices, and driver behavior indicators derived from speed and maneuverability patterns. For instance, analysis of a Pennsylvania convenience site showed a 15-minute accessibility population of 40,310, linking demand potential with stopping likelihood. Driver behavior is crucial for ROI as similar ADT sites can convert differently based on speed distribution patterns indicating transit or shopping behavior. Embedding these indicators prevents overestimated revenue on high-volume low-stop corridors and optimizes capital allocation to sites with traffic primed to buy. Accuracy is validated by a five-state field test over 50 sites and 1,750 measurements, achieving an average accuracy of 91.79% and an average AADT error of 8.31%, providing tighter confidence intervals for sales projections and rent coverage ratios. Traffic patterns vary by corridor and season, with increases up to 19% observed across Pennsylvania, Indiana, Kentucky, and Ohio. Site-specific analytics are favored over uniform benchmarks. C-Site Insight identifies traffic peaks during commuting, evening, and weekends, helping to capture stop-friendly speed conditions during crucial hours. The site selection workflow includes screening candidates with C-Site Essential, upgrading finalists to Comprehensive or Advanced for monthly and daily traffic insights, building demand models with a 5-year sales projection through Ticon's Feasibility Study, and stress testing investment cases using seasonal and daily traffic indices aligned to operational planning. This approach matters for necessity retail, convenience and fuel sectors, and suburban centers under valuation pressure by distinguishing stop-friendly traffic, prioritizing expansion corners, and aligning tenant mixes with visitation rhythms. Ultimately, ROI is driven by quantitative evidence at the site level, supported by validated metrics including directional AADT, demand profiles, and stopping propensity, enabling bankable plans for site selections and portfolio strategies.