Toptal unlocks tens of millions in value with advanced pricing strategy for leading cosmetics company.
A global cosmetics brand needed to improve pricing decisions across a large, multibrand portfolio. Toptal implemented advanced modeling and unified data analysis to optimize pricing at scale.
Client
A leading US cosmetics and skincare company managing a multi-brand portfolio across global eCommerce channels.
Employees
Revenue
Industry
Consumer Products & ServicesDelivered Services
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Schedule a CallChallenge
Disparate datasets and decentralized brand strategies limited visibility into pricing performance, preventing consistent, data-driven decisions and leaving significant revenue opportunities unrealized.
Solution
Advanced Pricing Model
Toptal built a two-pass gradient-boosting pricing model to analyze customer behavior and optimize pricing across 10 US brands.
Unified Data Framework
Toptal conducted exploratory analysis using Python and Google Cloud BigQuery to consolidate data and establish a centralized foundation for pricing analysis.
Outcome
Impactful Pricing Adjustments
Optimized pricing decisions generated financial adjustments worth tens of millions of dollars before fiscal year-end.
Improved Pricing Governance
A unified analytics framework standardized how pricing decisions were made across brands, increasing consistency, oversight, and strategic alignment at scale.
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