Popular Restaurant Franchises & Brands
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Restaurant 1 3 5 Mile Radius Demographics & Market Data Available
Select your business or a competitor below to unlock site selection insights.
- Population Demographics included 5 and 10 year forecasts.
- Household Incomes
- Weekly Per Capita Expenditures across relevant restaurant categories
- Competitive Business Density (aka, how many similar businesses in the location)
- Other important factors to your industry
Restaurant Competitive Intelligence for Grand Forks, North Dakota
View a list of the local restaurant competition and click on location name for more details regarding estimated visitor traffic, population demographics, popular visit times, and more. Includes a 1, 3, 5-mile site selection data analytics report for each restaurant location.
Restaurant Locations | Affiliation | Services | Report | Popularity |
---|---|---|---|---|
2717 S Columbia Rd |
Buffalo Wild Wings | American Food, Casual Dining, Chicken Wings, Dinner, Late Night, Lunch, Sports Bar | View |
|
3200 32nd Ave S |
Texas Roadhouse | American Food, Casual Dining, Dinner, Lunch, Steak House | View |
|
1125 S Washington St |
McDonald's | Breakfast, Burgers, Counter Service, Dinner, Drive Through, Fast Food, Lunch | View |
|
2910 32nd Ave S |
None | View |
|
|
2901 University Ave |
Panda Express | Catering, Chinese Food, Counter Service, Dinner, Fast Food, Lunch | View |
|
3451 32nd Ave S |
Culver's | Burgers, Counter Service, Dinner, Drive Through, Fast Food, Ice Cream Shop, Lunch | View |
|
3160 32nd Ave S |
Olive Garden | Casual Dining, Catering, Dinner, Italian Food, Lunch | View |
|
1419 S Columbia Rd |
Starbucks | Bakery, Coffee Shop, Counter Service, Dessert, Snacks, Tea House | View |
|
905 S Washington St |
Paradiso | Latin American Food, Mexican Food, Tapas | View |
|
3230 32nd Ave S |
Chick-fil-A | Breakfast, Burgers, Counter Service, Dinner, Drive Through, Fast Food, Lunch | View |
|
805 N 42nd St |
American Food, Bar or Pub, Dive Bar, Late Night, Seafood | View |
|
|
1301 S Washington St |
Taco Bell | Breakfast, Counter Service, Dinner, Drive Through, Fast Food, Late Night, Lunch, Mexican Food | View |
|
3750 32nd Ave S |
Pizza Ranch | Buffet, Catering, Dinner, Fried Chicken, Lunch, Pizza | View |
|
4340 Gateway Dr |
McDonald's | Breakfast, Burgers, Counter Service, Dinner, Drive Through, Fast Food, Lunch | View |
|
2522 Gateway Dr |
Taco John's | Breakfast, Counter Service, Dinner, Drive Through, Fast Food, Lunch, Mexican Food | View |
|
4401 32nd Ave S |
Subway | Breakfast, Counter Service, Dinner, Lunch, Sandwich Shop | View |
|
3551 32nd Ave S |
Starbucks | Bakery, Coffee Shop, Counter Service, Dessert, Snacks, Tea House | View |
|
2800 32nd Ave S |
Ground Round | American Food, Bar or Pub, Casual Dining, Dinner, Drinks, Lunch | View |
|
1305 S Columbia Rd |
Perkins Restaurant & Bakery | American Food, Bakery, Beverages, Breakfast, Brunch | View |
|
415 N 42nd St Ste A |
Mexican Food | View |
|
|
2451 S Columbia Rd |
Asian Food, Chinese Food | View |
|
|
4720 Gateway Dr |
Cafe | View |
|
|
623 S Washington St |
Smiling Moose Deli | Breakfast, Catering, Counter Service, Deli, Dinner, Lunch, Sandwich Shop | View |
|
4340 Gateway Dr |
None | View |
|
|
4401 S Washington St |
Bar or Pub, Late Night, Pizza | View |
|
Restaurant Site Selection Considerations for Grand Forks, North Dakota
Since 2014, Marc Smookler, Kevin James, and the Plotr Team have been empowering business operators and owners with location data insights. They are the geo-intelligence experts.
The consequences of not utilizing 1-3-5 reports for site selection in Grand Forks, North Dakota can be significant for restaurants. These reports provide valuable insights and data-driven analysis that can greatly inform the decision-making process and mitigate potential risks.
Without the guidance of 1-3-5 reports, restaurateurs may lack crucial information about the market dynamics and competitive landscape in Grand Forks, North Dakota. This can lead to poor site selection decisions, such as choosing a location with high competition and limited customer base. As a result, the restaurant may struggle to attract sufficient foot traffic and face fierce competition from well-established establishments, leading to reduced visibility and lower customer engagement.
Furthermore, without the insights provided by 1-3-5 reports, restaurants may overlook critical factors such as demographic trends, customer preferences, and spending patterns. Ignoring these key indicators can result in a mismatch between the restaurant concept and the target market's expectations. In such cases, the restaurant may fail to resonate with the local community, leading to poor customer satisfaction, negative reviews, and ultimately, a decline in revenue and profitability.
Additionally, not utilizing 1-3-5 reports may hinder the understanding of infrastructure and accessibility factors. A lack of knowledge about transportation networks, parking availability, and foot traffic patterns can result in a location that is inconvenient for potential customers. Difficulty in accessing the restaurant can deter diners and limit the restaurant's growth potential.
In conclusion, the failure to utilize 1-3-5 reports for site selection in Grand Forks, North Dakota can have significant consequences for restaurants. From overlooking market dynamics to neglecting crucial demographic and accessibility factors, the absence of data-driven insights can lead to poor site selection decisions, increased competition, lower customer engagement, and ultimately, a higher risk of failure in the competitive restaurant industry of Grand Forks, North Dakota.
More Restaurant Performance Insights
- The Top 10 Site-Selection Considerations When Opening a New Restaurant
- Why Restaurant Owners Should Utilize 1-3-5 Mile Radius Reports When Choosing a New Location
- Unveiling the Radius Report: Key Insights for Restaurant Operators to Drive Success
- Navigating the Radius: Avoiding Common Pitfalls When Analyzing 1-3-5 Mile Reports for Restaurant Success
- Reasons Restaurants Fail: Why Location Matters
- The Impact of Site Selection: Lessons from Failed Restaurant Franchises