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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:

  1. Allocate inventory to high-demand warehouses
  2. Launch geo-targeted Facebook/Google ads

Pro Tip:spreadsheet API

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