Cross-Border E-Commerce Sneaker Reselling: ACBuy Spreadsheet for Jordan Shoes – Product Selection and Pricing Strategy
2025-08-02
In the booming cross-border e-commerce sneaker resale market, Jordan shoesACBuy spreadsheet tool
1. Data-Driven Product Selection Strategy
Key Metrics Tracked in ACBuy Spreadsheet
- Market Trend Analysis:
- Demand Index:
- Competitor Monitoring:
- Size Popularity:
- Rarity Score:
Optimal Jordan Models for Resale
Model | Resale GPA* | Seasonal Preference |
---|---|---|
Jordan 1 Retro High OG | 4.8/5 | Year-round (Higher in Q4) |
Jordan 4 Retro | 4.5/5 | Spring/Summer |
*Gross Profit Average based on ACBuy market data
2. Dynamic Pricing Framework
ACBuy Pricing Calculator Components
- Base Cost Formula:
Acquisition Cost + Shipping + Import Taxes + Platform Fees (15-25%) - Demand Multipliers:
- Regional hype (e.g., +30% for 'Uni Blue' in Southeast Asia)
- Cultural events (Chinese New Year boosts 'Bred' colorway)
Case Study: Jordan 1 Lost & Found (US Success - Asia Resale)
Retail: $180 US Purchase Cost: $190 (after tax) China Landed Cost: $220 (shipping+fees) ACBuy Suggested Price: $329-369 (2023 Q1 data) Actual Resold Price Avg: $347 (+58% margin)
3. Automating with ACBuy Spreadsheet Macros
Advanced resellers integrate these functions:
=INDEX(Trends!B2:M100, MATCH(B3,Trends!A2:A100,0), MATCH(TODAY(),Trends!B1:M1,-1))
Real-world applications include plotting price decay curves
[Line chart showing GR Jordan price decline versus LE stability]
Key Takeaways
1. Identify "CompSeller Patterns"
2. Timing Matters
3. Iterate Fast
"The spreadsheet doesn't replace game knowledge - it helps validate hunches about which Jordans will heat up next based on Asia sizing anomalies."