Sheetz’s plan to add 14 more Michigan stores next year highlights the importance of precise site selection in retail. Whether choosing a single location in metro Detroit or a discount box in Pennsylvania, the key question is how effectively a site converts passing vehicles into sustained visits and revenue. C-Site offers single-location acquisition analysis starting at the curb rather than broad averages, using continuous 24/7/365 traffic monitoring current within about a week to measure directional vehicle volumes, speeds, and seasonality at the exact address. Traditional methods can mislead; audits show errors up to 150% in average daily traffic counts (AADT) from low spatial coverage and up to 30% from low time coverage. Mobile-device visit estimates err by an average of 66%, often inflated by rising device penetration rather than true customer growth. C-Site addresses this by quantifying driver behavior—including speed distributions and road context—to differentiate local shopping from transit traffic and estimate visitor rates, typically 3–14% on adjacent roads and 0.5–4% on highways. Practical steps for single-address analysis include establishing exact curbside exposure with directional AADT, converting this into estimated monthly visitors using empirical visitor rates, understanding seasonality and peak times for better operational planning, assessing traffic quality through speed and behavior indicators, linking traffic to revenue projections with high-resolution demographics and local factors, and setting post-acquisition performance guardrails via traffic load ratios comparing actual versus planned traffic. This approach is critical for multi-site expansions like Sheetz’s 14-store Michigan buildout and for investors or brokers underwriting single assets within large portfolios, as it reduces reliance on generic AADT or mobile footfall data that can deviate significantly. It also helps lifestyle centers align tenant mixes with peak demand patterns. Key takeaways advise securing address-specific, current traffic data with directional and hourly profiles, using modeled visitor rates grounded in speed and road class, underwriting labor and inventory based on observed demand timing, and embedding traffic load ratios into KPIs for post-close management. As retail networks grow and capital moves across necessity formats, acquisition success depends on accurately answering: how many vehicles pass, how many stop, and when. C-Site provides empirical, address-level data and analysis to quantify these factors reliably, supported by recent industry research and validated methodologies.