The short answer: choose in order: market, then trade area, then site. Start from your best customers, even if all you have is sales by store or delivery ZIP codes, find where people like them concentrate, test the store's economics at realistic sales, and only then compare specific spaces on access, visibility, co-tenancy and total occupancy cost. A beautiful space in the wrong trade area is still the wrong space.
Step 1: Model your customer before you look at maps
The most useful input is your own data. Take whatever you have, sales by store, loyalty records, or delivery ZIP codes, and test it against geographic, demographic and psychographic variables until the few that actually predict your sales stand out. Those variables, not generic assumptions about "affluent shoppers," become the filter for every market and every site.
Brands new to the US can do this with their home-market data, then adjust for what differs in the US: car dependence, store sizes, and how the category is bought.
Step 2: Rank markets on demand, cost and reach
Score each candidate market on three things:
- Demand density for your actual customer profile.
- Cost reality: rents, build-out and labor at the level the store needs.
- Operational reach: can you supply, staff and support a store there?
Overlay competitors and analogs, businesses that share your customer or format without competing directly. Where analogs thrive, your concept has a better chance; where competitors cluster, look closely at whether the market is under-served or saturated.
Step 3: Define trade areas by travel time
A trade area is where most of a store's customers come from. Define it by how people actually travel: walking minutes in a dense urban corridor, driving minutes in a suburban center. Check daytime population as well as residents; office districts and campuses change the picture by hour. Note barriers, such as highways, water or rail lines, that cut a trade area in ways a radius ignores.
Step 4: Compare sites on the same checklist
| Factor | What to check |
|---|---|
| Access | Entry and exit, turning movements, transit, walkability |
| Visibility and signage | Sight lines, signage rights, frontage |
| Parking | Ratio, proximity, shared or reserved spaces |
| Co-tenancy | Who sits next to you, anchors, and the mix they create |
| Size and layout | Frontage, depth, ceiling height, back-of-house |
| Infrastructure | Power, water, ventilation and grease for food concepts |
| Zoning and use | Permitted use, approvals needed, timing |
| Total occupancy cost | Base rent plus CAM, taxes and insurance, and the build-out net of the landlord's contribution |
Step 5: Test the economics at realistic sales
Run the store's numbers with US costs at the sales level the analysis supports, not the level the team hopes for. Check rent as a share of projected sales, build-out net of the allowance, and the time to recover the investment. If the model only works at aspirational sales, the site is telling you something.
Step 6: Decide, and document why
Put the evidence, the risks and the recommendation in one place: a site approval package the leadership team, a lender or a franchise partner can review. Documenting the reasoning also makes the next decision faster, because the criteria become standards rather than opinions.
Mistakes that cost the most
- Falling for a space before the market and trade area have been tested.
- Treating a radius as a trade area.
- Comparing asking rents instead of total occupancy cost.
- Validating demand on a narrow customer group, such as a home-country diaspora, and assuming it scales.
- Skipping the documentation, so every new site starts from scratch.
How Site Logic does it
Site Logic builds the analysis from your customer data with demographic, psychographic and mobility data, then carries it through the search and the lease. Read about our site selection and market planning work, or see how the method connects to the first US store decision and choosing the next markets.
Frequently asked questions
What data do I need to choose a retail location?
Start with your own customer data, even if it is only sales by store or delivery ZIP codes. Combine it with demographic, psychographic and mobility data for the target market, competitor and analog locations, and real rent and build-out costs.
How big is a retail trade area?
It depends on the concept and how people reach it. A walk-in urban concept may draw from a few blocks; a destination store in a suburban center can draw from a long drive. Define it by travel time and observed customer behavior, not by a fixed radius.
What is an analog in site selection?
A business that is not your direct competitor but shares your customer or format, used to estimate how your concept may perform in a location. Analogs are especially useful for brands new to a market.
Should a first US store go in a mall or on the street?
It depends on what the store has to prove. Malls and centers bring traffic and rules; street locations bring visibility and flexibility but more variation in traffic. Decide after the market and trade-area analysis, not before.