The CNfans Adidas collaborative spreadsheet
Key Metrics in the CNfans Valuation Model
- First-day premium rates (China vs global markets)
- Instagram/TikTok engagement per $100k marketing spend
- Secondary market turnover velocity (Days to 90% sell-through)
- Collaborator-specific CTR on fan communities
Our analysis of 2023 Q2 data reveals surprising patterns: Human Made collabs generated 32% higher discourse volume than predicted, while adidas Originals x Wales Bonner showed 19% faster restock absorption than industry averages. The spreadsheet automatically weights these factors using dynamic algorithms
Practical Applications for Resellers
Seasoned buyer groups utilize the CNfans model to:
- Allocate purchase quotas across different collab lines
- Determine optimal holding periods before resale
- Identify under-the-radar artists approaching valuation inflection points
Pharrell Williams Case Example
The spreadsheet tracked his SOCIAL STATUS collab achieving:
Metric | Score |
---|---|
Hype Index | 92/100 |
Weibo repost velocity | 48s/discussion thread |
3-month value retention | 87% (vs 68% industry avg) |
Such granular data enables a 25-30% reduction
Implementation in the Secondary Market
Major consignment platforms have begun adapting principles from the CNfans methodology:
- Predictive pricing models in Stadium Goods authentication reports
- Goat's newly introduced Collab Potential Score
- StockX Dark Size sudden demand alerts
As streetwear统计分析 continues evolving, spreadsheets like CNfans.run