Adidas Resale Trend Forecasting: CNfans Spreadsheet’s Data Modeling Approach
2025-07-22
The sneaker resale market thrives on predicting hype, and Adidas collabs are no exception. CNfans – a leading Chinese sneaker analytics platform – leverages spreadsheet-based modeling to forecast the next breakout Adidas drops. Here's how their method works.
Core Data Dimensions Tracked
- Historical Release Patterns:
- Platform Indicators:
- CRM Integration:
- Regional Factors:
- Platform Indicators:
The Modeling Workflow
- Scraping & Normalization
Python scripts aggregate data from 8 resale platforms, converting varying size premiums (e.g., EU 42.5 premium) into standardized indices - Cluster Analysis
Identifies micro-trends like "Off-White Effect" where hurricane shoes spike secondary demand regardless of model - Price Elasticity Modeling
Dynamic pricing simulations based on inventory rumors (e.g., anticipated 2024 Campus 80s restock volatility)
Key Insight: Stan Smiths with "collab-like"
Benchmarking Accuracy
| Prediction Window | Model Accuracy | Outperform Benchmarks |
|---|---|---|
| 3-Month (Q2 2023) | 81% | StockX TNF forecast by 14pp |
| Single-Drop (Nov '23) | 93% | Predicted Adidas x Wales Bonner |
While manual adjustments remain crucial for sudden cultural shifts (e.g., influencer scandals), CNfans' transparent modeling framework provides resellers with unprecedented forward visibility on Adidas' complex Asian markets.
Pro Tip: Their free template