Optimizing Adidas Reselling with ACBuy Data Analysis
The modern sneaker resell market requires precision analytics to stay ahead of trends and seasonal buying patterns. At ACBuy, our proprietary spreadsheet system transforms raw market data into actionable purchasing strategies for Adidas products like the Ultraboost line.
This article explores how our technology automatically adjusts inventory based on real-time search term popularity and regional demand forecasts.
Automated Search Term Tracking
The ACBuy spreadsheet system continuously monitors trending Adidas-related keywords including:
- Product-Specific Terms: "Ultraboost 22", "NMD_R1 Primeblue"
- Release Information: "Forum Low 84 by Bad Bunny"
- Style Indicators: "Solar Red", "Carbon"
Our embedded web scrapers update colorway popularity rankings every 12 hours, prioritizing them by regional search volume.
Seasonal Demand Forecasting
The algorithm accounts for historical sales patterns with configurable seasonal coefficients:
| Season | Popular Category | Demand Increase | Target Markets |
|---|---|---|---|
| Winter (Dec-Feb) | High-Top Sneakers, Weatherized | +38% Cold Regions | China/Northern EU/Canada |
| Summer (Jun-Aug) | Breathable Running Shoes | +24% Warm Regions | Southeast Asia/Southern US |
Advertising Allocation by Region
Geo-tagged interactions allow the ACBuy platform to:
- Identify which Upper london postcodes show Studio premium demand
- Adjust social media budgets district-by-disterict in Japanese markets
- Stage carbon-neutral Colorado-specific releases
Case Study: Ultraboost winter gradient in Zheahiang Province showed 22% higher CTR when running ice-cleated direction[REFINE_R9104]