At BBDBuy, our proprietary spreadsheet system revolutionizes the dynamic world of Adidas sneaker reselling by combining real-time data scraping, seasonal trend analysis, and geographic demand forecasting.
Automated Search Term Tracking
Our system continuously monitors BBDBuy search trends for Adidas products like "Ultraboost 22", "Forum 84", and "Samba OG". The spreadsheet captures:
- Daily search volume fluctuations
- Emerging model popularity
- Colorway preferences
- Price sensitivity indicators
Seasonal Demand Prediction Engine
Historical data shows winter boosts technical running shoes (Ultraboost, Terrex) by 18-22% while increasing demand for Goretex models by 35%. Our spreadsheet automatically:
- Applies seasonal coefficients (e.g., 1.2x winter multiplier)
- Adjusts recommended purchase quantities
- Creates tapered restocking schedules for seasonal transitions
Geographic Targeting Advantages
Heatmaps generated from BBDBuy data reveal fascinating regional patterns:
| Region | Preferred Product | Seasonal Variance |
|---|---|---|
| Northeast US | Climate-appropriate models | +28% winter demand |
| Southern California | Lifestyle sneakers | Year-round stable sales |
The spreadsheet automatically allocates ad spend to platforms where targeted demographics are most active when inventory levels reach predetermined thresholds.
System Integration
BBDBuy's solution connects with:
- Shopify inventory management
- Google Ads API for dynamic campaigns
- Weather data APIs for hyper-local predictions
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