How are shops divided into pavilions?
In the field of commercial real estate, shops are classified in various ways, and different classification standards will directly affect the operation strategy and investment value of shops. This article will combine the hot topics and hot content on the Internet in the past 10 days to provide you with a detailed analysis of the classification of stores and provide structured data for reference.
1. Classification by business type
The business classification of shops is one of the most common classification methods. According to different business contents, shops can be divided into the following categories:
| Business type | Representative shop | Features |
|---|---|---|
| Catering | Hot pot restaurant, milk tea shop, fast food restaurant | Large flow of people and high hygiene requirements |
| Retail | Clothing stores, convenience stores, supermarkets | There are many types of products, so you need to pay attention to display |
| Service category | Beauty salons, gyms, training institutions | Focus on experience and high customer stickiness |
| Entertainment | Cinema, KTV, arcade | The economy is active at night and consumption periods are concentrated |
2. Classification by geographical location
The geographical location of a store has a decisive impact on its value. The following are common classification methods:
| location type | Representative area | Advantages |
|---|---|---|
| Business district shop | city core business district | Large flow of people and high brand exposure |
| Community shop | Surrounding residential area | Stable customer base and high consumption frequency |
| Transportation hub shop | In subway stations and airports | Strong liquidity and many impulse purchases |
| tourist area shop | In scenic spots and ancient towns | The seasonality is obvious and the unit price per customer is high. |
3. Classification according to the nature of property rights
The property rights of a store directly affect its investment value and operation methods:
| Property type | Features | Suitable for the crowd |
|---|---|---|
| independent title shop | Property rights are clear and can be bought and sold freely | long term investor |
| Right of Use Shop | Only the right to use, cannot be bought or sold | short term operator |
| virtual store | Online mall shop | E-commerce entrepreneur |
4. Classification by business model
Different business models determine the store’s operating strategies:
| Business model | Features | Represent the brand |
|---|---|---|
| Self-operated | Operate independently, all profits belong to yourself | Sole trader |
| joint venture | Share from cooperation with brands | Brand store |
| lease | Pay fixed rent | Convenience store chain |
5. Popular shop investment trends
According to the Internet hotspot data in the past 10 days, the following store types have received widespread attention:
| Shop type | heat index | Reasons for growth |
|---|---|---|
| Community fresh food store | ★★★★★ | After the epidemic, residents develop nearby consumption habits |
| New energy vehicle exhibition hall | ★★★★☆ | New energy vehicle sales explode |
| pet service store | ★★★★☆ | The pet economy continues to heat up |
| 24 hour convenience store | ★★★☆☆ | Nighttime economy policy support |
6. Suggestions for shop selection
1.Define target customer groups:Choose a suitable store type based on the target customers’ consumption habits and spending power.
2.Consider lot value:Although prime locations have high rents, they can bring more customer traffic and brand exposure.
3.Pay attention to policy orientation:Follow the urban development plan closely and choose areas and business formats with policy support.
4.Assess operating costs:In addition to rent, comprehensive costs such as decoration, labor, water and electricity must also be considered.
5.Grasp consumer trends:Shops that focus on emerging consumer trends, such as health, environmental protection, intelligence and other concepts are more popular.
In short, there are various ways of classifying shops, and investors and operators need to choose the most suitable type of shop according to their own needs and market trends. We hope that the structured data and classification methods provided in this article can provide you with valuable reference.
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