Every metric that matters for retail location success.
Understand your target customer. Income levels, age distribution, household composition, and spending patterns for any trade area.
Real foot traffic counts from Placer.ai. See daily, weekly, and seasonal patterns to understand customer flow potential.
Identify anchor tenants and complementary retailers. Understand the shopping center mix and traffic generators.
Visualize true trade areas based on actual visitor data. Understand where your customers will come from.
Map every competitor in your category. See their ratings, reviews, and estimated traffic to assess market saturation.
Esri spending data shows you category-specific expenditure. Know how much people spend on your product category.
Slant works for any retail real estate format.
High-visibility locations for brand presence and maximum foot traffic.
Anchor and inline opportunities with strong co-tenancy.
Convenience-driven locations with strong neighborhood traffic.
Experience-focused destinations with premium demographics.
Retailers weigh customer density and spending, real visitation by daypart, visibility and parking or transit access, and the strength of nearby demand drivers. Slant aligns those signals so you can compare finalists without losing nuance in a spreadsheet.
Co-tenants shape trip purpose and basket—grocery-anchored traffic behaves differently than apparel-dominated centers. Understanding the mix helps forecast whether your concept inherits the right kind of visits versus just sharing a parking field.
Benchmarks should match your format and hours: compare weekday lunch for workday concepts, weekend peaks for family retail, and evening patterns for dining-adjacent shops. Use consistent trade areas so a site’s hourly curve is comparable to your existing winners.
Read visitor flow and entrances relative to your suite line—not just center-level traffic. Mapping movement and competitor draw helps flag visibility blockers and dead legs that center averages can hide.