Adidas Reselling Trend Prediction: Data Modeling with bbdbuy Spreadsheet
2025-06-25
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The reselling market for Adidas sneakers has grown exponentially in recent years. By leveraging data modeling techniques on bbdbuy
The Bbdbuy Data Modeling Framework
1. Data Aggregation Layer
- Scrape historical transaction records from bbdbuy's completed listings
- Import third-party market data (StockX, GOAT, stadium goods)
- Compile regional inventory allocation data
- Track social media sentiment indicators (#adidas__ hashtags)
2. Feature Engineering
| Key Metric | Weight Factor | Data Source |
|---|---|---|
| 48-hour sell-through rate | 0.32 | bbdbuy API |
| Inventory/seller ratio | 0.28 | Web crawler |
| Colorway similarity coefficient | 0.18 | Image processing |
| Collabs potency score | 0.22 | Social listening |
Applied Case: Yeezy 350 V2 "Onyx"
Our model successfully predicted this colorway would outperform market expectations by 37% based on:
- Early reseller allocations showing constrained inventory
- Higher-than-average "want" reactions in private groups
- Regional preference patterns matching the gray/neutral color spectrum
Conclusion:
Download Template Spreadsheet
*Requires Google Sheets with JavaScript macros enabled