Using OOPBuy Spreadsheet to Optimize Adidas Reselling with Demand Forecasting
2025-07-18
For Adidas resellers leveraging OOPBuy’s platform, intelligent demand prediction is key to maximizing profits. By combining search term trackingseasonal trend analysis, sellers can automate inventory adjustments and target high-conversion audiences.
Step 1: Scraping Top Search Keywords
The OOPBuy spreadsheet tool allows sellers to extract trending Adidas terms (e.g., “Ultraboost 22”, “Samba OG”) from reseller searches. Data points include:
- Search volume history
- Click-through rates
- Regional popularity
Step 2: Seasonal Demand Multipliers
Historical sales data reveals patterns like:
Season | Category | Avg. Demand Increase |
Winter | Running Shoes | +20% |
Summer | Soccer Jerseys | +35% |
The spreadsheet auto-adjusts purchase quantities using these multipliers, preventing stockouts or overstock.
Step 3: Location-Based Ad Targeting
Heatmaps of search origins reveal regional preferences—e.g., “Derby Shoes” trends in coastal cities. Sellers can:
- Allocate inventory to high-demand warehouses
- Launch geo-targeted Facebook/Google ads
Pro Tip:spreadsheet API