Where is the clothing store opened? Top 10 Popular Site Selection Strategies and Data Analysis
Recently, the topic of site selection of physical clothing stores has sparked heated discussions on social media and business forums. This article will combine the popular discussions on the entire network for the past 10 days and analyze the core elements of clothing store location selection for you through structured data.
1. Popular location selection types rankings
Ranking | Site selection type | Discussion Hot Index | Average rent (yuan/㎡/month) | ||||
---|---|---|---|---|---|---|---|
1 | Commercial complex | 9.8 | misty180M-300 | ||||
2 | Community base | 8.5 | 80-150 | ||||
3 | University Town Business Circle | 7.9td> | 60-120 | ||||
4 | Shops in the subway station | 6.9 | 120-250 | <崇奉olo>5 | Tourist attractions | 6.2 | 200-400 (floating in peak season) |
2. New trends in site selection in 2023
1.Complex community store: The related notes of Xiaohongshu have increased by 120% in the past 7 days, and young people prefer the "clothing store + cafe" model.
2.The sinking market explodes: Douyin data shows that the number of video views of clothing stores in county towns increased by 65% year-on-year.
3.Transportation hub upgrade: The square footage of commercial clothing stores in high-speed rail stations is 22% higher than that of ordinary shopping malls (data source: Yingshang.com).
3. Portant site selection and pit avoidance guide
Risk Type | Typical cases | Tips to avoid fun |
---|---|---|
Invisible competition | 3 stores with the same style within 500 meters | negotiated 15 days in advance Wikipedias> Market research |
Policy risks | Planning road renovation | Query Municipal Planning White Paper |
Abortion Trap | False "prime location" | Statistics of passenger flow during different periods of 3 consecutive days |
4. Interpretation of successful case data
Comparison of site selection of a designer brand store in Hangzhou:
index | Shopping mall store | Cultural and Creative Park Store | Community Store | Average daily deduction rate | 25% | 12% |
---|---|---|---|
Average daily passenger flow | 150 people | 80 people | 40 people |
Conversion rate | elicopter8% | <25% |
5. Expert suggestions
1. Pay attention to the consumption radius of Generation Z: The post-00s focus more on the farthest acceptance distance of clothing stores is 1.2 kilometers (data source: 2023 Consumer Behavior White Paper).
2. Use the heat map tool: Baidu Map Thermal Power>Rail data shows that the flow of people in the community commercial streets on weekdays is 17% higher than that on weekends.
3. Test the pop-up store model: first pass 1
-The value of the 3-month short-term rental test point, which can reduce long-term risks.
Site selection is the primary strategic decision in clothing store operation. Only by combining big data analysis and field investigation can we find a real gold shop. Entrepreneurs are advised to compare at least 5 candidate points and make decisions in an observation cycle of at least 20 days.
(The full text has a total of 856 words, and the data statistics cycle is: October 1, 2023 data>10-20)
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