Demographic analysis, trade-area and drive-time modeling, competitive intelligence, sales forecasts, and economic-impact studies for multi-unit operators and franchisees opening their next quick-lube, car wash, QSR, or auto-service location.
For a multi-unit operator, the wrong site is a slow, expensive mistake, signed for ten years. Real estate analytics replaces gut feel and a radius on a map with hard demographics, real drive-time trade areas, competitive saturation, and a sales forecast grounded in how your own stores actually perform, so you only sign the sites that pencil out.
A complete picture of each candidate location, scored and ranked so the best site is obvious.
Score and rank candidate sites on the factors that actually drive your unit economics, then pressure-test the front-runner with a full feasibility study before you commit.
Population, households, income, age, daytime worker population, growth trends, and vehicle ownership, matched to the customer profile of your best-performing stores.
Real 5-, 10-, and 15-minute drive-time isochrones, trade-area capture, and traffic counts, not a circle on a map, so you see the catchment a site can truly serve.
Every competitor in the trade area, their proximity and format, and how saturated the market already is, so you know whether there's room before you build.
A revenue range, ramp curve, and economic-impact model for the site, built from how your comparable locations actually perform, with break-even and ROI views.
Will a new unit grow the market or just split your existing stores? We model overlap and incremental volume so your portfolio expands instead of dividing.
Whether you run quick-lube, car wash, QSR, or auto-accessory locations, the model is built around what actually drives traffic and revenue for that format.
Car counts, drive-by traffic, vehicle density, and bay throughput potential by trade area.
Traffic counts, capture rate, membership potential, and competitor tunnels in the catchment.
Daypart demand, daytime population, drive-thru viability, and co-tenancy in the trade area.
Vehicle ownership, DIY vs. DIFM mix, and demand density for accessory and parts retail.
Traffic, fuel demand, inside-sales potential, and competitive fuel sites nearby.
Membership-eligible population, income fit, and competing clubs within the drive time.
Co-tenancy, foot traffic, and trade-area spending power for multi-unit retail concepts.
Territory mapping, market planning, and multi-site pipelines for franchisees and franchisors.
A real analyst, who knows multi-unit operations, runs the study with you, end to end.
We align on your concept, target markets, expansion goals, and the site criteria that matter for your unit economics.
Demographics, traffic, drive-time trade areas, and competition, plus your own store performance from POS.
Feasibility score, sales forecast, economic impact, and cannibalization, with each candidate site ranked.
A clear go / no-go recommendation and a report you can take to a landlord or franchisor with confidence.
Most site-selection reports lean on national averages. We anchor the forecast to how your own stores actually perform.
Because myAnalyst reads your POS, forecasts reflect your concept and your customers, not a generic benchmark.
A team that has actually run multi-unit businesses, not a self-serve tool, guides every study from search to lease.
Site studies, Store Health, and pacing live in the same platform, so the model you opened with keeps measuring the store.
A feasibility study tells you whether a specific site can hit the numbers before you sign a lease. It combines demographic analysis, trade-area and drive-time modeling, traffic counts, competitive saturation, and a sales forecast into a single go / no-go recommendation with a projected revenue range and break-even view for the location.
We forecast a candidate site from how your comparable existing locations actually perform, not generic national averages. We match the new trade area's demographics, traffic, and competition to your best analogs, then model a revenue range and ramp curve for the concept, whether it's quick-lube, car wash, QSR, auto accessory, or c-store.
Population and household counts, income, age, daytime and worker population, growth trends, vehicle ownership and traffic counts, and psychographic fit, all measured inside real 5-, 10-, and 15-minute drive-time trade areas rather than a simple radius. We profile each trade area against the customer base of your strongest stores.
We model overlap before you open. Using drive-time trade areas and your existing customer origins, we estimate how much of a new unit's volume would be genuinely incremental versus split from nearby stores, so you grow the market instead of dividing it.
Multi-unit and franchise operators in quick-lube and auto service, car wash, QSR and fast food, auto accessory and parts, convenience / c-store, retail, and fitness. The model is tuned to the drivers of each concept.
Generic reports lean on national averages and a radius. Because myAnalyst already reads your point-of-sale data, we anchor the forecast to how your own comparable locations perform, and an analyst who knows multi-unit operations walks you from search through signed lease.
Most single-site studies turn around in days to a couple of weeks depending on scope. You get a written report with the demographic and trade-area profile, a competition map, a sales forecast and economic-impact model, a cannibalization view, and a clear go / no-go recommendation you can take to a landlord or franchisor.
Tell us the markets you're eyeing and we'll scope a feasibility study, demographics, trade area, competition, and a sales forecast, on your real numbers.