Evaluate a coffee location by buying windows
Turn location observations into testable transaction assumptions without treating footfall as customers.
Work through the guide →A coffee shop begins with a repeatable daily buying occasion: a commute, workplace break or neighborhood visit. Test how many transactions fit the busy windows and whether the location can attract them at a ticket that pays for the whole trading day.
The modeled unit is a paid transaction. A second drink on one ticket raises the basket but is not a second customer transaction. Separate drink mix, food attachment and discounts when checking the realized ticket.
Habit can support frequent visits, but convenient access, reliable opening hours and fast fulfillment must earn that habit. Observe return visits rather than assuming every nearby worker becomes a regular.
| Format | What changes | How to use it |
|---|---|---|
| Neighborhood coffee shop | Counter service, drinks and a limited food offer | The reference format used here; the busiest hour can constrain the day. |
| Kiosk or cart | A smaller work area with a tightly defined menu | Power, water, storage, weather exposure and site permissions need a different plan. |
| Café with a full kitchen | Food production as well as drinks | Adds preparation, equipment and staffing demands beyond this reference. |
A founder who enjoys frequent customer interaction, consistent routines and managing a short, intense service peak. The work includes early preparation, cleaning and stock control as well as making drinks.
The figures below are a national wage reference scenario. The paid roster uses May 2025 BLS national occupational medians. Prices, customer volume, rent, equipment and other commercial inputs are authored assumptions. This is not a researched average startup cost, owner-income promise or a funding recommendation.
| Input or result | Reference | What to verify |
|---|---|---|
| Completed sales units | 4,160 orders / month | 160 orders per trading day; demand requires evidence. |
| Net selling price | $8.50 | Build and test a relevant local menu, package or contract scope. |
| Revenue | $35,360 | Calculated volume × price, not observed sales. |
| Paid payroll | $11,804 / month | National wage medians × the stated hours × the 18% employer allowance. |
| Opening payments | $98,224 | Authored equipment and setup allowances, deposit and paid training. |
| Funding including reserve | $145,986 | Opening payments + deepest modeled operating deficit + retained buffer. |
| Mature operating profit (EBIT) | $4,867 / month | After the full paid roster and depreciation; before financing and income taxes. |
| EBIT break-even | 126.6 orders per trading day | A sales threshold to compare with capacity and tested demand. |
30 orders per hour × 8 selling hours = 240 orders per day. This assumes a workable bar layout; actual morning peaks need a queue and staffing check.
30% drinks, bought-in food and waste plus 4% payment processing and disposables. Utilities $700; insurance $350; marketing $500; software, cleaning and other operating costs $750 per month.
BLS does not publish a separate barista occupation in this selection. Fast Food and Counter Workers is a broad proxy. The model does not subtract anticipated customer tips.
BLS May 2025 national wage workbook · Calculation definitions · How owner income differs from EBIT
| Workstream | What the brief needs | Decision before spending |
|---|---|---|
| Coffee production | Espresso capacity, grinders, filtration, service access and commissioning | Match equipment to simultaneous orders, not just a daily cup target. |
| Counter and premises | Water, drainage, power, customer queue and pickup flow | Check the actual space before ordering equipment. |
| Stock and refrigeration | Milk, coffee, food, packaging and reorder frequency | Use the proposed menu and spoilage pattern to set opening quantities. |
Compare installed scope, exclusions and payment dates. Do not treat an unquoted item as zero or count a bundled installation twice. Turn equipment quotes into an opening budget explains a reusable quote ledger.
Count relevant passing traffic by time and direction over different days. Record access, competing queues and nearby closures. A total daily pedestrian count hides the morning constraint.
Price a short menu and calculate a weighted ticket from observed or explicitly assumed item mix. Include packaging, payment fees, waste and promotional discounts.
Run a practice order sequence, including food, substitutions, payment and cleanup. Identify the slowest station and translate it into realistic peak throughput.
Roster opening, deliveries, peaks and closing. A quiet extra hour still uses paid time and utilities; compare its contribution with the extra work before extending the day.
| Measure | Why it changes a decision |
|---|---|
| Transactions by half hour | Tests whether the daily target fits the actual demand windows. |
| Net ticket and food attachment | Distinguishes higher prices from a different basket mix. |
| Order-to-handoff time | Reveals capacity and service problems that can interrupt repeat visits. |
| Milk, food waste and paid hours | Shows whether a busy counter produces sufficient contribution after labor. |
Review actuals against the scope you priced. If an extra service, new trading hour or more distant client changes the work, update the roster and contribution calculation before expanding.
Describe drink preparation, on-site food handling, water supply, seating, signage and outdoor service. Ask the address-level authorities which food, building, fire and other approvals apply to that exact scope.
Each state profile links to official registration, tax and employer routes, together with the questions still requiring an address-specific answer. Find the responsible approval route for your activity provides the record to keep.
A location justified only by annual footfall, a sales plan that ignores peak queues, or a ticket based on a premium drink that few people buy can make a busy-looking shop miss its financial threshold.
Write a response that changes the actual cause: narrower scope, a different site, revised paid staffing, a tested price or a delayed opening. A larger cash buffer only addresses a temporary timing gap.
Turn location observations into testable transaction assumptions without treating footfall as customers.
Work through the guide →Prepare a comparable premises brief and identify costs and dependencies that headline rent leaves out.
Work through the guide →Design a small demand test that distinguishes traffic, enquiries, bookings and completed paid sales.
Work through the guide →Build a price that reflects the work, a realistic sales mix and the cost of delivering an extra sale.
Work through the guide →Choose between a meal-led service operation and a habit-led counter operation. The counter-service restaurant reference must coordinate menu production, guest ordering and dining space; a coffee shop must win repeat transactions and deliver them quickly in its buying windows.
Compare the operating choices →A coffee shop wins short, frequent customer transactions at a location. A recurring cleaning business wins a defined monthly obligation at client sites. Compare buying windows with route capacity, and immediate customer collections with invoice timing.
Compare the operating choices →The core difference is a transaction queue versus an appointment diary. Coffee depends on fast fulfillment during buying peaks; a salon depends on skilled hours, service duration and kept appointments. Both need repeat customers, but their scheduling and hiring problems differ.
Compare the operating choices →A coffee shop serves many short transactions; a detailing studio serves fewer jobs that occupy technicians and space for longer. The practical choice depends on whether you can establish a buying location or a reliable package-and-booking operation.
Compare the operating choices →No. The relevant questions are who passes while the shop is open, whether they can stop, their buying occasion and the conversion needed to reach paid transactions.
Test the extra contribution against preparation time, waste, equipment and approvals. More sales categories can slow the drinks operation or require a different business format.
The shop still needs setup, stock handling, cleaning and closing. Leaving those hours unpaid makes the model look more efficient than an operation someone must actually run.
No states match these filters.
Sorting compares one defined format. It does not rank states for attractiveness or prove demand. Funding includes a 60-month cash reserve under each scenario.
| State | Funding scenario | Loaded payroll / month | EBIT break-even orders per trading day |
|---|---|---|---|
| Alabama | $135,940 | $9,670 | 112 |
| Alaska | $152,958 | $13,137 | 135.8 |
| Arizona | $149,872 | $12,547 | 131.7 |
| Arkansas | $136,106 | $9,709 | 112.3 |
| California | $163,645 | $14,924 | 148 |
| Colorado | $155,825 | $13,669 | 139.4 |
| Connecticut | $154,015 | $13,339 | 137.2 |
| Delaware | $147,902 | $12,170 | 129.1 |
| Florida | $144,682 | $11,555 | 124.9 |
| Georgia | $139,668 | $10,551 | 118 |
| Hawaii | $157,746 | $13,977 | 141.5 |
| Idaho | $143,561 | $11,340 | 123.5 |
| Illinois | $147,247 | $12,045 | 128.3 |
| Indiana | $143,848 | $11,395 | 123.8 |
| Iowa | $141,697 | $10,984 | 121 |
| Kansas | $142,023 | $11,046 | 121.4 |
| Kentucky | $141,510 | $10,948 | 120.8 |
| Louisiana | $134,600 | $9,353 | 109.8 |
| Maine | $150,558 | $12,678 | 132.6 |
| Maryland | $150,136 | $12,597 | 132.1 |
| Massachusetts | $160,487 | $14,417 | 144.5 |
| Michigan | $140,317 | $10,704 | 119.1 |
| Minnesota | $149,902 | $12,552 | 131.8 |
| Mississippi | $133,881 | $9,183 | 108.7 |
| Missouri | $143,645 | $11,356 | 123.6 |
| Montana | $144,445 | $11,509 | 124.6 |
| Nebraska | $140,276 | $10,695 | 119 |
| Nevada | $145,423 | $11,696 | 125.9 |
| New Hampshire | $149,292 | $12,436 | 131 |
| New Jersey | $152,565 | $13,062 | 135.3 |
| New Mexico | $141,534 | $10,953 | 120.8 |
| New York | $156,219 | $13,732 | 139.9 |
| North Carolina | $144,549 | $11,529 | 124.7 |
| North Dakota | $145,660 | $11,741 | 126.2 |
| Ohio | $140,467 | $10,740 | 119.3 |
| Oklahoma | $135,920 | $9,665 | 112 |
| Oregon | $147,961 | $12,181 | 129.2 |
| Pennsylvania | $141,223 | $10,893 | 120.4 |
| Rhode Island | $151,124 | $12,786 | 133.4 |
| South Carolina | $140,511 | $10,750 | 119.4 |
| South Dakota | $140,843 | $10,821 | 119.9 |
| Tennessee | $139,962 | $10,620 | 118.5 |
| Texas | $139,167 | $10,433 | 117.2 |
| Utah | $143,003 | $11,234 | 122.7 |
| Vermont | $154,750 | $13,479 | 138.1 |
| Virginia | $145,361 | $11,684 | 125.8 |
| Washington | $164,357 | $15,038 | 148.8 |
| West Virginia | $135,856 | $9,650 | 111.9 |
| Wisconsin | $140,292 | $10,698 | 119.1 |
| Wyoming | $139,820 | $10,587 | 118.3 |
Published research and calculations support business planning and education. They are not personalized financial, investment, tax or legal advice, and they do not guarantee costs, revenue, profit or financing. Estimates depend on the stated format, location, source periods and assumptions. Check the requirements and commitments that apply to your circumstances.