1. The Question
“How do I analyze a good spot for opening a restaurant?”
I’ve read tons of business books and hospitality management textbooks. They all have some framework… but when it comes to real life, they don’t seem to help much. So let’s break it down into something actually usable.
2. What ChatGPT and Google Usually Tell You
Here’s what AI or most business blogs say:
- Check foot traffic volume and time-based flow
- Analyze local competition: count similar restaurants, check reviews, prices
- Study the background zone: residential, commercial, or office-heavy?
- Evaluate accessibility: parking and public transit
- Review real estate data: rent, vacancy rates
- Use big platforms’ “AI maps” and area ratings
Not bad advice, but they throw too many fragmented ideas without telling you how to actually decide.
So we built a system to fix that.
3. Toyota Pub’s Answer (Real, Street-Level Stuff)
We use a 3-step framework:
- CEFSR: Macro-level competition analysis [Post: CEFSR Model ]
- FLI: Food Limit Index (Max spend per meal vs average income) [Post: FLI index ]
- Site Analysis: Flow of people, floor, structure, visibility
Let’s say you want to open a spot in Seoul that serves: Hot dogs, steak, mac & cheese, Chicago-style pizza, buffalo wings, and American IPA. (A hypothetical case – I’m not actually doing this.)
(1) Step 1 – CEFSR: Competitive Differentiation Framework
This stands for:
- C: Competition saturation (how many same-type restaurants?)
- E: Experience differentiation (do you offer a unique memory?)
- F: Franchise substitution risk (can McDonald’s copy you tomorrow?)
- S: Signal Obscurity (can customers understand your pricing logic?)
- R: Relative advantage in the local area
We’re assuming the key to survival = “hard-to-replicate structure.”
C – Competition Saturation
Look up food license data from your city’s open database. If Western cuisine restaurants are ~700 in a district of 300,000 people (compared to 1,200 Korean, 400 Japanese), it means competition isn’t too crazy. You’ll usually see pizza-pasta-brunch cafes in online, but pure “American diner” formats are rare in Seoul. That’s your chance.
R – Relative Advantage
Walk around your target neighborhood. Let’s say you spot 3 pasta places, but nobody doing what you’re planning. So you assess how your food stacks up. According to Our Flavor Flow design (That’s it? Theory): Great dishes should have Rhythmical flavor. Variation in texture and time difference attack (Temporal layer): Chicago pizza crust + seared steak = your edge in this case.
Virtual example rating table:
| Item | Evaluation | My Version | Local Average |
|---|---|---|---|
| Pizza Crust | Temporal layer of the crust and cheese flavor to the tomato sauce | 8/10 | 6/10 |
| Steak | The rhythm of a crusty exterior, just the right amount of salt, and rich juices | 9/10 | 7/10 |
If locals are better, admit it and fix your recipe. Or try a new area. It is not easy to beat a well-known place with the same menu.
F – Franchise Substitution
Are there big chains doing what you’re doing? Domino’s and Papa John’s sell pizza, but not the combo of steak, wings, and craft beer with Chicago theming. With a multi-dish rotation strategy, it’s hard for franchises to replicate your format. Still, always research your enemies.
E – Experience Differentiation
You’re not just selling food – you’re selling a vibe. If your Chicago-style food is rare in this area, even hanging a flag or adding subtle decor helps. Small touches + Chicago Blues, Jazz = big memories. We don’t recommend expensive interiors – Sensory burnout happens fast. This method gets boring quickly, so it costs a lot of money because you have to change the interior every 2 to 3 years. If you run a local business, targeting tourists or walk-ins instead of regulars is a very poor strategy.
S – Signal Obscurity
Premium pricing needs confusion. If the customer fully understands the recipe, ingredients, and process, they’ll always say “too expensive.” So rename dishes with odd, unfamiliar titles from Chicago (However, consumers think of the U.S and have an affinity for it.) :
- Magnificient 76 Pizza
- Chicago Smoked Mac & Cheese
- Illinois Sous-Vide Steak
You’re building mystery. It’s not deception – it’s narrative pricing. You’re not tricking them—you’re selling a story. Of course, there has to be something else to differentiate it from just pepperoni pizza, not just the name. [EX] Chicago style cooking technic
If you just call it “steak,” people go straight into price comparison mode. But say “Illinois Sous-Vide Steak” and they start wondering: “Where’s Illinois? What’s special about sous-vide?” That curiosity leads to emotional justification: “It sounds special. Maybe it’s worth the price.”
Funny? But it sells. 🤪 I find this funny too, but this stuff really sells. It is important to sell items that people like but do not know much about. Peking duck 🇨🇳 works on the same principle. Haha.
(2) Step 2 – FLI: Food Limit Index
Most people analyze rent, foot traffic, or income levels. We focus on just one thing: How much locals are willing to spend on one meal. That’s the real ceiling. We call it FLI — Food Limit Index.
What Is FLI?
FLI measures the maximum acceptable spend per meal relative to income.
Formula:
FLI = Average Max Spend per Meal ÷ Average Annual Income
It tells you how far you can push prices before customers push back. People keep their annual salary or average monthly income in the back of their minds. Like a metronome hitting a steady beat, they try to maintain a consistent baseline. This is what FLI is all about. For instance, if you earn $80k a year, you’re fine with a $20 meal, but you’ll instinctively push back against spending $70 or $80.
🌍 FLI by Country (Rough Comparison)
| Country | Avg Income (Annual) | Max Spend / Meal | FLI |
|---|---|---|---|
| Korea | $35,000 | $7.5 | 0.021 |
| USA | $85,000 | $20 | 0.024 |
| Germany | $55,488 | $15 | 0.027 |
| Vietnam | $4,300 | $2 | 0.046 |
| Russia | $12,000 | $5 | 0.042 |
What does this mean?
Korea has a low FLI. Even when people earn more, they don’t spend much on meals.
👉 Low FLI market = high volume, low margin strategy.
Trying to run premium pricing in low-FLI zones usually ends in tears.
📌 Advanced Use: Adjust FLI by Neighborhood Income
National averages are only the baseline. What matters is local income. For Example, In Korea, some districts have average salaries of $60k–70k (government offices, large corporations).Even with the same national FLI of 0.021, pricing shifts upward.
If income = $70,000: $70,000 × 0.021% ≈ $14.7. So a $12–15 check average makes sense. If income = $80,000: $80,000 × 0.021% ≈ $16.8. Then $18–20 becomes realistic.
If you check the average income of businesses in the backmarket and look into the prices of about 10 neighborhood restaurants, you’ll get a rough sense of the price ceiling. Although it is a somewhat subjective process, if you consider the opinions of many people, there is a point of consensus that everyone agrees on.
⚠️ The Maginot Line of Pricing
FLI is your defensive line. Cross it, and no amount of branding will save you. People don’t say, “This is too expensive.” They just stop coming. In our case, running an American-style pub, a $15 average ticket fits both FLI and category expectations.
Important: FLI Is a Ceiling, Not a Promise
High income doesn’t mean high spending. If the neighborhood is used to cheap food, even rich people will still say you’re expensive. And beware of districts full of people in their 20s:
- They travel far for hype
- They spend little
- They compare value obsessively
- Once seated, they try to extract maximum value
That’s why some packed restaurants still fail financially. Full seats don’t equal healthy margins. The strategy of high-volume, low-margin sales in high-traffic areas only worked when labor costs were low. Now, you should target areas with high-spending power, even if the foot traffic is lower or the market is more exclusive. Prime examples include back alleys near major corporations or government districts. There might be fewer young people, but they are consistent big spenders.
🎯 Final Rule
Don’t price by vibes. Price by math. Not: “This street is crowded. Let’s open here.” But: “Can this crowd handle a $15 average bill?”. That one question saves you from most bad locations.
📌 Quick Formula to Remember
Target Average Price = National FLI × Local Income Level
(3) Step 3 — Micro Site Analysis (Where exactly should you open?)
You’ve set your menu and your price ceiling (FLI). Now comes the real fight: Where do you actually put the store? Let’s assume a typical downtown office district with bars and casual restaurants.
[1] Ground Floor vs. 2nd Floor — Don’t Pay for Ego
✅ General Rule
- Mass-market food (burgers, pasta, coffee) → 1st floor
- Niche pubs / concept-driven bars → 2nd floor is often smarter
Big brands sit on ground level because they need maximum volume. They can afford the rent because they convert traffic fast. But for niche concepts ? Paying 2–3x rent for 1st floor can quietly kill your ROI.
Case A — Niche Menu + No Viral Engine → Choose 2nd Floor
If your concept is not:
- widely understood
- impulse-friendly
- mass-market appealing
Then 1st floor traffic won’t convert fast enough to justify the rent. That’s not “mystique strategy.” That’s just cost-to-traffic mismatch. High rent + slow conversion = silent bleeding.
For example, a friend of mine opened a Kalguksu place on the second floor. But in Korea, Kalguksu is a classic high-demand, impulse-driven item. Such items belong on the ground floor to capture foot traffic. Niche options, such as German food, have enough rarity that customers will seek them out even on higher floors. If a niche restaurant takes a first-floor spot, the high fixed costs become unbearable due to its limited audience. This often forces the owner to broaden the menu with generic, mass-market items like pasta, which compromises the restaurant’s original identity.
Case B — Office Zones Are “Jar-Shaped” Traffic Areas
📌 Jar-shaped zones:
- Heavy lunch rush
- Dead after 6 PM
Office workers eat nearby at lunch, then leave the area for dinner and socializing. If you operate lunch + dinner on 1st floor: “Didn’t we eat there at lunch?, Let’s go somewhere else tonight.”
So your lunch sales cannibalize your dinner business. Unless rent is extremely low, 2nd floor + dinner-only pub can outperform ground floor.
Counterintuitive, but real.
[2] Crowd Flow — Don’t Sit Where People Are Rushing
People don’t party where they work. After office hours, foot traffic usually flows like this:
Office → sidewalk → main road → transit / parking → nightlife blocks
So opening right at the office entrance often underperforms. Why? Because after work, people want psychological distance from work. They walk one or two blocks before relaxing. Same logic as department stores:
- Entrance = cheap items
- Premium zones = deeper inside
People want transition before consumption. Your restaurant is no different.
[3] Visible 2nd Floor Beats Hidden 1st Floor
Common rookie mistake:
- 1st floor, but in alley or side street
- 2nd floor, but directly above main road
In that case?
👉 Always take the visible 2nd floor.
Visibility beats floor number. Only choose 1st floor if: visibility is equal, rent is still reasonable. Never overpay just because the lease says “1F.”
[4] If You Choose 2nd Floor or Basement — Stairs Matter More Than You Think
Since the second floor has limited visibility, the stairs must not block it further. You should place unified colors and logos on windows and awnings to give a strong vibe that says, ‘This place has a clear concept.
Check these:
- ❌ Step depth > 30cm → feels like hiking
- ❌ Very wide stairs → knee strain going down
- ❌ Spiral or hidden stairs → fear + uncertainty
Best option: Straight, open, visible stairs
If stairs are hidden:
- strong lighting
- posters
- menu boards
- visible people (People hesitate to come in if there are no other customers already inside.)
You must reduce psychological friction. Curved stairs create “secret bar vibes,” but they kill turnover and walk-ins. Terrible for business.
4. Final Take
Location strategy is not about vibes. It’s about matching traffic behavior with cost structure. Google gives advice. ChatGPT gives theory. But this? This is how I actually pick real pub locations.
If you enjoyed this article, you can support the project – thank you!