In the competitive world of limited-edition Adidas sneakers, proxy buyers need every advantage they can get. The Acbuy Spreadsheet
Why Spreadsheet Management is Essential
The sneaker proxy business involves tracking multiple data points:
- Release calendars for different regions
- Profit margin calculations per model
- Product variant SKUs and colorways
- Real-time price fluctuations
"My proxy operation scaled 3X after implementing structured spreadsheet workflows" - verified Adidas King user
Critical Acbuy Features for Adidas Drops
| Function |
Application |
| Automated inventory sync |
Tracks confirmed ADC reservations across multiple accounts |
| Market comparison engine |
Compares regional Adidas prices plus StockX/GOAT benchmarks |
Step-by-Step Raffle Management
- Import confirmed entries from browser extensions
- Tag winning entries with conditional formatting
- Automate address rotation to prevent cancellation
Advanced Automation Techniques
Power users leverage Google Apps Script with Acbuy for:
- Automated footsite login sequences (
bot_prevention_bypass.gs)
- Self-updating resell price matrix (connects to API
Note: Always check platform terms before automation to avoid bans
Profit Optimization Strategies
The right formulas transform raw data into business intelligence:
=[Adidas retail price] + [Shipping] + [Proxy fee]x1.15 /*suggested multiplier*/
|
Combined with inventory heat mapping, resellers identify:
See real profit case studies →
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This HTML document contains semantic structure optimized for sneaker reselling content, featuring:
- Key functions (`
