Size Range Optimization
Strategic size selection to maximize fill rates and profitability per model.
Size Demand Distribution
Size Range
US 6-7
Market Demand
5%
Avg Premium
Very High
Fill Rate
90%
Size Range
US 8-10
Market Demand
45%
Avg Premium
Medium
Fill Rate
40-50%
Size Range
US 11-12
Market Demand
35%
Avg Premium
Low
Fill Rate
60-70%
Size Range
US 13+
Market Demand
15%
Avg Premium
Medium
Fill Rate
75-85%
Size Selection Strategies
Narrow Range (US 8-10)
Tradeoff: High competition, medium fill rate
Best For: First deployments, premium models
Expected ROI: 30-50%
Wide Range (US 7-12)
Tradeoff: Balanced competition and opportunities
Best For: Standard deployments (recommended)
Expected ROI: 40-60%
Extreme Sizes (US 6-7, 13+)
Tradeoff: Lower competition, higher margins
Best For: High-capital deployments
Expected ROI: 60-100%
Full Range (US 6-13)
Tradeoff: Maximum opportunities, complex tracking
Best For: Advanced traders with multiple agents
Expected ROI: 50-80%
Model-Specific Recommendations
Nike Dunk Low
Peak demand in these sizes
US 8-11
Jordan 4 Retro
Wide appeal across sizes
US 7-12
Yeezy 350 V2
Larger feet preference
US 9-13
New Balance 550
Narrow size appeal
US 8-10
Converse Chuck Taylor
Universal sizing
US 6-13
Size Optimization Analytics
- • Historical Sell-Through: Analyze which sizes sell fastest per model
- • Price Premium by Size: Identify which sizes command resale premiums
- • Competition Heatmap: See which sizes have most bot competition
- • Profitability Distribution: Calculate ROI by size range