Territorial prefeasibility for new restaurants (MTIE): the mistakes versus the right method from Masterestaurant

How much does a territorial pre-feasibility study cost for a new restaurant?

As of September 2026, a serious territorial pre-feasibility study for a new restaurant costs between USD 1,800 and USD 12,000, and the range depends on geographic scope and on whether the deliverable actually reaches a break-even figure.

That price looks steep until you set it beside the buildout: fitting out a space in major Latin American cities runs between USD 900 and USD 2,400 per square meter, so a 120-meter dining room means USD 108,000 to USD 288,000 before the first plate is sold. The study weighs less than 4 % of that number and is the only thing capable of preventing the whole amount from being lost. The arithmetic gets more uncomfortable when you recall that between 25 % and 30 % of new restaurants close during their first year, with cumulative mortality near 60 % at five years, according to the series the National Restaurant Association has been reporting.

What each price band includes?

Three tiers, and it pays to tell them apart before signing. For USD 1,800 to USD 3,500 you get a diagnosis of ONE polygon:

residential and office density, a census of direct competition within walking radius, household spending capacity and an estimate of achievable average ticket; useful for ruling sites out fast, not for negotiating a lease. The USD 3,500 to USD 7,000 band adds what you are really paying for: the candidate site's cost structure, monthly break-even expressed in covers per day, and the ramp-up months needed to reach it. Above USD 7,000 and up to USD 12,000 you are buying a comparison of three to five locations, fieldwork with pedestrian counts across real time bands, and model sensitivity to swings in rent and food cost, which the National Restaurant Association places at an optimum of 28 % to 35 % of sales.

Five factors that move the price

Number of sites compared comes first: each additional polygon adds USD 700 to USD 1,400, because pedestrian counts and the competition census must be rebuilt from scratch. Second comes real fieldwork versus desk research; measuring traffic across three time bands over a week raises the cost by 25 % to 40 %, and that gap is the difference between a measurement and a guess. Third, financial depth: stopping at «the area has potential» costs half of what it takes to reach a territorialized break-even. Fourth, availability of public data, which makes everything cheaper in cities with a recent economic census and forces primary collection in municipalities without an updated cadastre. And fifth, deadline: asking for delivery in ten days instead of thirty typically adds a 20 % to 30 % surcharge. MTIE is the territorial module that Masterestaurant S.A.S. contributes as technology partner inside the Twin Ecosystem Model with SATE Institute, and its distinguishing trait is the shape of the answer.

What MTIE is, and why it returns covers instead of adjectives?

It crosses demand density, direct competition, household spending capacity and the candidate site's operating cost structure, and returns a territorialized break-even. It does not tell you whether the area is good.

It tells you how many covers per day you need on THAT corner, with THAT rent, to stop losing money. The distinction is not cosmetic: a report concluding «high commercial potential» cannot be checked against anything, while one stating «186 daily covers at a USD 14 ticket» can be tested against measured foot traffic and against the physical capacity of the room. Diego F. Parra keeps hammering that point because cash flow, according to Inc., remains the leading cause of small business closure. There is a tension worth naming out loud: the consultant charging USD 12,000 for a single simple polygon is selling hours, not judgment, and the one charging USD 500 is selling a downloaded heat map.

The expensive study is not always the best one: how to tell before paying

My rule for separating them applies before a single dollar moves: ask for a previous project's deliverable with the client's figures redacted. If no break-even appears expressed in covers per day, if there is no explicit monthly rent assumption, and if projected food cost falls outside the 28 % to 35 % the National Restaurant Association reports as optimal, you are buying a decorative document. Second test, equally cheap: ask what happens to the model if the landlord raises rent 15 % at renewal. A consultant with judgment answers with a number of additional covers; one without answers with nuance. Contract in phases and pay against milestones. The screening phase should run you USD 1,200 to USD 2,000 for two or three polygons on secondary data; only the winner moves to the deep phase with fieldwork, so you never pay for primary collection on sites you already discarded.

How to negotiate and optimize the spend without losing the data?

Second lever: bring the inputs you already own, because a costed menu, photographed competitor price lists and rent quotes usually account for 15 % to 25 % of billable hours.

Third: negotiate the deliverable, not the fee. Asking for the financial model in an open spreadsheet, with editable assumptions, is worth more than a 10 % discount, because it lets you recalculate when rent shifts without hiring anyone again. And demand an explicit expiration date printed on the report. Follow the scenario to the end, which is where it becomes visible. You save the USD 4,500 of the MTIE and sign a five-year lease on a 120-meter space with USD 160,000 in buildout. The area did have traffic, yes, but passing traffic rather than dwelling traffic, so your real ticket settles at USD 11 instead of the USD 16 you assumed; the break-even you believed sat at 140 covers slides to 205.

What happens if you decide to skip the study?

Fourteen months in you close, you lose the buildout, and you still owe the remaining lease. That USD 4,500 saving cost roughly USD 200,000.

When the financier is a municipality or a multilateral banking program, the damage multiplies: each closure destroys three to twelve formal jobs in a market where, per the ILO, close to 6 in 10 employed young people in Latin America work informally. Measured against the jobs destroyed, the price of a territorial pre-feasibility study is marginal, and that is why local economic development programs should require it as a disbursement condition rather than leave it to the entrepreneur's discretion. Labor informality in Latin American and Caribbean MSMEs reaches 46.6 %, concentrated precisely in micro and small firms, according to ECLAC 2024, and food service is one of the largest employers in that bracket. A restaurant that closes in year two does more than erase three to twelve formal jobs: it leaves behind non-performing debt that raises the cost of credit for the next cohort of entrepreneurs, so the municipality pays twice.

The cost of the study against the public externality

If you administer a support fund for gastronomic MSMEs, make MTIE a precondition for disbursement and measure the twenty-four-month survival rate of both cohorts. The gap between a USD 500 report and a USD 4,500 MTIE looks large until you set it against build-out, which in 2026 runs USD 900 to USD 2,400 per square meter across major Latin American cities. A 120-meter site means USD 108,000 to USD 288,000 in construction. The study weighs under 4 % of that figure and it is the only thing standing between you and losing all of it. There is a genuine tension worth naming: the most expensive study is not automatically the best one, and a consultant charging USD 12,000 for a simple polygon is selling hours rather than judgment. My rule for separating them is verifiable before you pay: ask for a previous deliverable with the figures redacted.

Where the budget actually breaks?

If no break-even in covers per day appears anywhere in it, that document is not a prefeasibility study. It is a neighborhood brochure.

The cost almost nobody declares is elapsed time. A serious prefeasibility takes 12 to 25 business days because it needs to observe at least two weekends and one payday fortnight. The landlord pushes a seven-day deadline to sign, and that is where the worst decision of the project gets made. One month of rent paid to hold the option —USD 1,500 to USD 4,000— is cheap insurance against a USD 150,000 error. Inside local economic development (LED) frameworks, territorial prefeasibility changes nature when the financier is public or multilateral: it stops being the entrepreneur's expense and becomes a program component, with unit cost falling by scale. A batch of 40 studies along one urban corridor runs USD 600 to USD 1,100 per unit, because the demand grid is built once and shared.