Case Study: Garmentory reduces CPA by 22% with Bidnamic

US designer fashion retailer increases profitability for its huge catalog of products on Google Shopping

Garmentory, a US designer fashion retailer with a catalog of more than 400,000 SKUs, needed a better way to bid strategically at the individual SKU level without overbidding on Google Shopping. They wanted to maintain strong visibility and profitability while avoiding wasted spend, and turned to Bidnamic’s purchase intent engine for help.

Bidnamic implemented an automated, machine-learning-driven bidding approach that adjusted CPCs based on purchase intent for each SKU, supported by a client success team and weekly check-ins. The result was a 22% reduction in CPA, while maintaining the same clicks and revenue, cutting ad spend by 10% year over year, and increasing both CTR and conversion rate by 11% and 15%, respectively.

Garmentory

Sunil Gowda

Co-Founder & CEO