Case Study: MBX achieves 19% profit uplift on Amazon with Luca

MBX - Customer Case Study

The customer, a venture-backed beauty startup called MBX, was facing rising costs and needed to improve its profit margins on Amazon without sacrificing revenue. Their challenge was to find the optimal price increases that would not negatively impact sales. To solve this, they turned to the vendor Luca and its AI-powered pricing engine to measure customer elasticities and recommend strategic price changes.

Luca’s solution involved a four-part approach: generating price elasticities for each SKU, applying optimization logic to meet business goals, allowing for operator input, and using advanced experimentation methods to attribute results. This process provided MBX with a trusted, data-driven price plan. As a result, MBX achieved a 19% profit uplift and a 4.4% revenue uplift, successfully hitting its profitability goals while also growing its top-line sales.

MBX