Mixed-use campuses are accelerating, as seen at Charlotte's Camp North End, selective foodservice integration like RaceTrac’s Potbelly strategy, and new suburban town centers in metro Atlanta. Traffic is becoming more complex and valuable across dayparts and formats, raising standards for feasibility and sales forecasting. Boards and lenders demand quantifiable demand, defendable trade areas, and category-level 5-year projections based on empirical traffic and competitive evidence. C-Site’s Feasibility Study offers a complete market analysis to guide expansion strategy precisely, delivering a data-driven location assessment, site ranking, potential customer estimates, competitive analysis, and a 5-year revenue outlook by product category. The companion Sales Projection includes site features, market demand analysis for fuel, in-store, and car wash categories with 5-year projections, competition analysis with Level of Service ratings, directional AADT data, and demographic trade-area profiles. The package's bankability derives from detailed measurements including directional AADT per road and direction, intraday volume in 15-minute intervals distinguishing weekday/weekend trends, visitor rate benchmarks correlating traffic to visit potential, and growth assumptions anchored in observed trends like a 2.8% annual increase in convenience store visitors. Methodologically, it transparently links traffic to sales using directional AADT, road-class visitor rates, intraday behavior adjustments, competitive levels of service, and demographic factors. For instance, an adjacent road with 20,000 eastbound vehicles could yield 600 to 2,800 daily visits before adjustments, with every step tied to measurable inputs. Why this matters in 2026: Urban campuses with mixed uses smooth traffic flow; C-Site’s detailed intraday and daypart profiles enable realistic convenience and QSR sales forecasting. Selective fast-casual co-development inside convenience stores depends on overlapping pass-by and brand daypart profiles, identified via Sales Projection data. Suburban mixed-use town centers diversify demand across residents and visitors, with rankings informed by evidence rather than averages. The evidence stands up to scrutiny via cross-verification of traffic and demographic data, algorithmic bias minimization, and published visitor rate research. Deliverables suit rigorous diligence, combining data-driven assessments, trade area sizing, supply and competition analysis, and bankable 5-year sales projections. Practical takeaways for 2026 projects include treating directional access flows as revenue variables, as eastbound and westbound volumes differ and off-ramp flows behave uniquely. Projections should separate approaches and apply suitable visitor rates. Speed data is also used to quantify stop likelihood and driver behavior.