Adidas Reselling Trend Forecasting: Data Modeling Approach with Kakobuy Spreadsheets
2025-05-27
In the competitive world of sneaker reselling, predicting Adidas' breakout styles requires advanced data modeling. This article explores how Kakobuy's spreadsheet analytics can transform raw reselling data into profitable forecasts.
Data Collection Framework
- Kakobuy API Integration: Automatic price/sales volume updates (120+ data points daily per SKU)
- Marketplace Scraping: StockX, GOAT, and regional platform comparisons
- Historical Arb Patterns: Three-year demand cycle analysis
Sample Output: Hype Diffusion Curve for Gazelle Limited Editions
Key Predictive Variables
| Factor | Weight | Data Source |
|---|---|---|
| Initial sell-through rate | 32% | Adidas CONFIRMED App queues |
| Reseller inventory velocity | 28% | Kakobuy delist-tracker |
| CEP variation index | 19% | Cross-platform pricing |