In the competitive world of sneaker reselling, the CNfans spreadsheet
Key Data Points in CNfans' Predictive Algorithm
- Social Media Hype Index: Aggregates mentions across Twitter, Weibo, and sneaker forums 72 hours pre-drop
- Colorway Popularity Score: Historical performance of similar palette combinations since 2018
- Resale Premium Matrix: Tracks 48-hour resale premiums from previous AJ retro releases
- Region-Specific Demand: Geo-tagged eBay/StockX data showing size-specific demand patterns
Application Case: Travis Scott x Air Jordan Reverse Mocha
Size | Predicted Demand | Recommended Purchase | Projected Profit Margin |
---|---|---|---|
US 9 | 23.8% above average | 12-15 pairs | 215% |
US 10.5 | 17.2% above average | 8-10 pairs | 194% |
The model accurately forecasted 93% of size-tier profitability windows within 5% error margin for this release.
Triangulating Live Market Signals
Unlike static inventory models, CNfans' spreadsheet cross-references three dynamic data streams:
- Pre-launch chatter intensity
- Early resale velocity
- Colorway similarity scores
This approach helped resellers at CNfans