In the competitive world of sneaker reselling, children's footwear presents unique challenges and opportunities. Our CSSBUY platform
How the Growth Prediction Model Works
The system tracks three critical data points:
- Initial purchase age and shoe size
- Average quarterly growth rate of 0.5 sizes
- Brand-specific sizing patterns (Nike vs. competitors)
These metrics feed into a dynamic sizing algorithm that calculates the optimal window for reselling the next pair.
Case Study: Preschool Footwear Promotion
For children approaching key developmental milestones, our model triggers automated campaigns:
Marketing Action | Timing | Conversion Boost |
---|---|---|
App notification | 2 weeks before size expiration | 43% |
Measurement tutorial video | With product suggestion | +12% (total 55%) |
Proven Results:
Implementation for Resellers
To maximize effectiveness:
- Collect birthdate/initial size during first purchase
- Tag seasonal purchases in your CSSBUY spreadsheet
- Set up conditional formatting for approaching size changes
This system works particularly well for toddler transition phases when growth spurts are most predictable. Advanced users combine this with school-year timing for additional accuracy.
"The spreadsheet predictions transformed my kids' sneaker business - I'm always stocking the right sizes at the right time." - Verified Reseller on CSSBUY News
Technical Implementation Notes
The standard growth formula appears as:
=IF(MONTH(TODAY())=SCHOOL_START_MONTH, ROUND(CURRENT_SIZE+0.7,0), ROUND(CURRENT_SIZE+0.5,0))
Accounting for accelerated summer growth periods in school-age children.