02/2020 – 12/2023
Increasing sales. Every collection drop starts with an early market test.
With every collection drop, we initiated a defined performance cycle. Using an Early Market testing approach supported by paid media, we identified product-level demand signals at the very beginning of the season. Instead of waiting for overall revenue trends, we analyzed SKU performance in real time to understand which products were gaining traction and which were not.
We combined advertising data, on-site sales, inventory levels, planned restocks, and performance KPIs to model forward-looking sales trajectories. This allowed us to scale winning products with precision, reduce exposure on underperformers, and align media investment with business targets. Every decision was tied to predefined KPIs and contribution logic — not assumptions.















