Case Study · E-commerce
Shoebacca Achieves 26% Higher ROAS with Performance Max
How Shoebacca, a Texas-based e-commerce brand, expanded new customer acquisition and scaled revenue with Performance Max optimization.
ROAS Improvement
Cost Per Acquisition
New Customer Share
Background
Shoebacca is a Texas-based online retailer offering one of the largest assortments of footwear and apparel. Founded in 2002 with a strong community ethos, the brand emphasizes hassle-free shopping with free shipping, returns, and a 110% price match guarantee.
Challenges
Limited New Users
Revenue was heavily dependent on retargeting existing customers.
Scaling Challenges
Difficulty in acquiring new customers efficiently while maintaining ROAS.
Attribution Gaps
Needed clarity on the real contribution of new vs. existing customer campaigns.
Creative Demands
High-quality creatives were essential to drive conversions at scale.
Our Approach
New Customer Bidding
Implemented dual bidding strategies: exclusive new customer bidding and higher weighting for new customers to compare performance.
Advanced Audience Targeting
Used Customer Match, site visitors, custom intent, interest-based, and demographic signals to refine audience targeting.
High-Quality Creatives
Designed engaging creatives to improve user experience and conversions.
Continuous Optimization
Monitored campaign performance and iteratively optimized for better efficiency.
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Results
Higher ROAS
Acquisition Cost
New Customer Share
Brand Visibility
Shoebacca improved new customer acquisition and achieved 26% higher ROAS by implementing a data-driven Performance Max strategy.
“AnalyticsLiv’s Performance Max optimization gave us the clarity and tools to acquire new customers while improving ROAS — a true growth enabler.”
— Shoebacca
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