Site Selection for Small Businesses: What to Check Before Signing a Lease

Site selection sounds like something only chains with real estate departments do, but the stakes run the other way. A franchisor picking its 40th location can absorb one miss; a founder signing a five-year lease with a personal guarantee cannot. The lease is usually the largest and least reversible commitment a small business makes before opening, and yet the typical pre-lease research is a drive past the storefront and a scroll through Google Maps.

This is the checklist we wish every founder ran before signing. It is built on the same public data sources professional analysts use, Google Maps for supply, US Census tables for demand, and it costs nothing but hours. Where a tool (including ours) saves those hours, we say so; where the manual method is genuinely fine, we say that too.

What is a trade area, and why does it come before the address?

A trade radius is the distance customers actually travel for a given category, and it is the single most common thing founders get wrong. People walk a few blocks for coffee but drive across town for a dentist, so the area you should analyze depends on what you sell, not on what looks close on a map. In Denzify’s calibration, the realistic radius is about 600 m for a coffee shop, about 800 m for a restaurant, about 2.5 km for a gym, and about 4 km for a dentist. Industry retail studies land in similar ranges: convenience-driven categories pull from minutes away on foot, destination categories pull from a 10 to 15 minute drive.

Everything else on the checklist is measured inside this circle. Count competitors in the wrong radius and the number is meaningless: a coffee shop 2 km away is not your competitor, and a gym 2 km away absolutely is. Fix the radius first, then start measuring.

The pre-lease checklist

Six checks, each with a free method and the red flag that should stop you or send you back to the negotiating table.

Two of these deserve a closer look, because they kill businesses quietly. First, rent load: brokers quote rent per square foot, but the number that matters is rent as a share of the revenue you will realistically do in year one, not year three. The 8-12% band is a guideline that varies by category (restaurants often run tighter margins than service businesses), so treat it as a stress test: if the deal only works when everything goes right, the deal does not work. Second, lease terms: a personal guarantee means the lease follows you even if the business fails, CAM charges can add 20-30% on top of base rent, and without an exclusivity clause your landlord can lease the unit next door to your direct competitor. None of this is exotic; all of it is negotiable before you sign and none of it is after.

For the competitor count itself, the mechanics matter more than they look: keyword searches miss businesses that don’t use the obvious name, list the same place twice, and include closed locations. Our guide to counting competitors in your area walks through the free methods and exactly where each one fails.

Which checks do founders skip?

In practice almost everyone does the Google Maps search. The checks below are the ones that almost nobody does, and they change verdicts.

Daytime vs residential population

Daytime population is the number of people physically present in an area during working hours, workers plus residents who stay, rather than the number who sleep there. The two can diverge wildly: a downtown block can double or triple its effective market at lunch while a bedroom suburb empties out. Census LODES data maps where jobs are, free, at the block level. If you sell anything people buy on a weekday (coffee, lunch, dry cleaning, a gym session before work), the daytime number is your market. If you sell weekend and evening services, the residential number is. Running only one of the two means analyzing the wrong half of the day.

Benchmarking the competitor count

A raw count is a numerator without a denominator. Twelve competitors means nothing until you know whether comparable markets carry six or twenty for the same population. Nationally there are rough norms per category (about 2.1 gyms per 10,000 US residents, for instance, and far more restaurants), and the honest benchmark is other cities of similar size and income, not a gut feeling. This is the hardest step to do by hand, because it means repeating the whole count for several peer markets. It is also the step that turns a count into a verdict; the full method is in our market saturation analysis guide.

White space, read correctly

Zero-competition zones look like free money and usually are not. An empty area is an opportunity only when the demand signals hold: enough population or daytime workers, income that fits your price point, and no structural reason (zoning, geography, a highway) that explains the emptiness. Empty because underserved and empty because nobody’s there look identical on a map of competitors. How to tell them apart is its own topic: see white space analysis.

What does this look like on a real market?

A concrete example, unedited: our public sample report runs the full checklist logic on açaí bowls in Boston. The trade-area sweep found 33 verified competitors inside the city limits, the demand side showed a median household income of about $101k in the analyzed area (strong for a premium snack category), and the combined read came out to a Grade D, 36 out of 100: a saturated market, not the green light the empty-looking map would suggest. That is the value of running all six checks instead of one; supply alone said “crowded,” demand alone said “rich,” and only together do they say “saturated in aggregate, only worth it in an uncovered pocket.”

Do you need software for this?

No. Every row in the table above is doable with Google Maps, data.census.gov, OnTheMap, and an afternoon on the sidewalk, and a founder who does the work manually builds intuition no report can hand them. The honest cost is time: a careful manual pass takes the better part of a week per market, and the benchmarking step (repeating the analysis for peer cities) is where most people stop.

That is the part we automated. Denzify runs the trade-radius competitor count, the ACS demand pull, the LODES daytime-population layer, the white-space map, and the peer-city benchmark for one US market and emails you the graded report in minutes, pay per report ($149), no subscription. It will not read your lease or stand on your sidewalk on a Tuesday; you still own the last two rows of the checklist. If you are comparing markets before committing, run your first market here, and whichever method you choose, finish the checklist before you sign. The lease will still be there next week; a bad market will be too.