Case Study: a kids nutrition brand achieves 10x Amazon ROAS with Sigmoid's machine learning campaign optimization

Kids Nutrition Brand boosts Amazon ROAS 10x with Sigmoid

A kids nutrition brand partnered with Sigmoid to increase its return on ad spend and accelerate sales on Amazon. The challenge was to better leverage first-party data alongside Amazon campaign insights and third-party audience intelligence to identify the right target audience and optimize campaign settings like budgets, bids, and ad frequency for higher conversions.

Sigmoid built an ML-based solution that ingested data from multiple sources, including a Customer Data Platform and Amazon Ads, to recommend ideal target audiences and campaign settings. This approach allowed for inflight optimizations and focused spending on high-potential customers. As a result, Sigmoid's solution delivered a 10x improvement in ROAS, a 165% boost in conversion rate, and a 402% increase in purchase per dollar, while also creating a halo effect that boosted sales of supplementary items.