
An established manufacturer of automotive performance cooling parts partnered with SCUBE to stabilize and scale paid media across multiple international ecommerce stores. The business already had demand and distribution in place, but paid advertising performance had begun to plateau under a prior agency relationship that focused on maintenance rather than progression.
The objective was not incremental optimization. The client needed a paid media system that could support higher spend across regions without degrading efficiency or losing visibility into what was actually driving revenue.
SCUBE restructured the account around cleaner product data, clearer segmentation, and tighter alignment between catalog structure and buyer intent. Over the following year, advertising spend increased 53% while revenue attributed to paid media increased 55%. Performance held as scale increased, indicating the system could absorb growth without breaking.
The product catalog served multiple customer segments across different markets, but paid campaigns treated that demand as uniform. Product feeds were not segmented in a way that reflected how customers searched, evaluated, or purchased. Messaging lacked specificity, and campaign structure obscured where returns were actually coming from.
As spend increased, visibility decreased. The team could see top-line performance, but not which combinations of products, queries, and audiences were carrying results versus masking inefficiencies.
The client needed a partner who could redesign the system, not simply manage budgets.
SCUBE approached the engagement as a system rebuild rather than a creative refresh or bid adjustment exercise. The work focused on aligning inputs, structure, and decision signals so paid media could scale with control.
Clear performance expectations were established based on business objectives rather than surface-level platform metrics. Reporting was designed to expose contribution and efficiency as spend increased, reducing reliance on ROAS alone to judge success.
Product feeds were rebuilt and segmented to reflect meaningful differences in customer intent and product application. This allowed campaigns to prioritize high-value segments while preventing lower-yield products from absorbing disproportionate spend.
Ad copy was aligned to these segments, reinforcing relevance rather than relying on generalized performance messaging.
Campaigns were structured around the buyer journey to separate demand capture from demand development. Keyword and query management reduced noise as scale increased, and testing of audiences, offers, and creative was used selectively to inform structure rather than chase short-term lifts.
Across Google Ads, Bing Ads, and Facebook Ads, ROAS functioned as a constraint. It protected downside risk but did not dictate growth decisions. Stability and contribution mattered more than platform-reported efficiency alone.
Over a twelve-month period:
Rather than optimizing for peak efficiency at lower spend levels, performance was evaluated through the system’s ability to absorb growth without degradation.
“They provide significantly more value than our previous agency. They’ve been able to maintain or exceed our return on ad spend goals while increasing traffic to all of our sites, even in our slower months. The dashboards that they created allow us to dive into the nitty-gritty details of our campaigns.”
— VP of Marketing, Performance Cooling Parts Manufacturer
The outcome was not more aggressive advertising. It was a paid media system that could grow across regions without quietly losing efficiency or control.

The SCUBE Game Plan is a focused review of how large, spec-driven catalogs behave inside paid channels. It’s designed to surface what’s contributing to performance, what’s masking underlying issues, and where structure is quietly working against you.If there’s a fit, we walk through the findings in a ~60 minute conversation, looking at:
The goal is a clearer picture of how the system is behaving, so decisions stop relying on averages or assumptions.

