Prada Resale Customer Profiling: A Deep Dive into Hoobuy Spreadsheet Data
In the evolving landscape of luxury resale markets, understanding customer behavior through platform data has become crucial. This article analyzes Hoobuy's resale transaction records to construct a comprehensive profile of Prada proxy shopping clients.
I. Dataset Characteristics
The analyzed spreadsheet contains 3,428 confirmed transactions
II. Core Demographic Traits
| Variable | Top Segments | % of Transactions |
|---|---|---|
| Age Group | 25-34 years | 62% |
| Gender | Female | 78% |
| Location | Tier 1 Chinese cities | 54% |
Notably, overseas students
III. Behavioral Patterns
A. Purchasing Frequency
- 41%
- Average repurchase interval: 48 days
B. Price Sensitivity
The spreadsheet reveals two distinct clusters:
- Value hunters
- Collection completists
IV. Geographic Breakdown
[Data visualization placeholder: Regional transaction heatmap]
Shanghai purchasers demonstrate the highest basket value ($1,287 avg), while U.S.-based buyers frequent small leather goods (82% under $500).
Strategic Implications
The Hoobuy data suggests that Prada resale customers represent opportunistic luxury seekers rather than dedicated collectors. Key recommendations:
- Prioritize marketing seasonal accessories to repeat female buyers aged 25-34
- Build geo-specific inventory allocations based on regional preferences
- Develop loyalty programs targeting the 40% multi-purchase segment
*Analysis based on anonymous transaction data. All currency in USD equivalent.