Adidas Resale Hit Prediction: Data Modeling Method for acbuy Spreadsheet
2025-07-04
Introduction
The resale market for limited-edition Adidas sneakers has become a data-driven goldmine. This article explores how acbuy's spreadsheet analytics
With 37% of Yeezy 350 restocks selling out within 47 minutes, precision forecasting separates profit from deadstock
Core Methodology
- 3D Timeline Modeling: Cross-references drop dates with comparable historical releases
- Sentiment Scoring: Weighs Reddit/Twitter activity through custom NLP filters
- Stock-see elastic coefficient: Measures demand elasticity from early resale premiums
Key Spreadsheet Functions
| Metric | Formula |
|---|---|
| Hype Index (HI) | =0.6*(RT_conversions)+0.3*(search_vol_index)+0.1*(influencer_count) |
| Probable Markup | AERP*(1+(0.5*ESEA/100)) where ESEA=Early Stock Elasticity Adjustment |
Prediction Mechanics
- Crawl Phantom Stock Data: Monitoring regional inventory APIs for early skews in sizes 9-11 availability
- Campaign Correlation: Matching past athlete endorsements to current promotional calendars
- Colorway Psychology: RGB analysis of trend-setting palettes (retro neon in 2024 Q2)
Note: