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How an Electronics Brand Increased ROAS 77% While Scaling on Walmart Connect

1,515%
77%
15%
This electronics accessories brand specializes in power and connectivity products, including charging cables, extension cords, and networking solutions. Operating a large catalog of over 3,500 SKUs on Walmart, the business serves both everyday consumers and small businesses in a replacement-driven category where performance depends on matching the right product to the right search at scale.
The Challenge
The challenge was not starting from zero—it was scaling without breaking what worked.
With thousands of SKUs and a steady stream of demand, the account had strong growth potential. But in a replacement-driven category, scale comes with risk. As more products and queries enter the mix, spend can quickly spread into low-performing areas, driving up costs and weakening return on ad spend.
The question was how to grow without losing control.
Over-structuring the account would limit learning and slow expansion. But without enough control, incremental spend would dilute into inefficiency. The brand needed a system that could expand coverage, identify winners, and continuously concentrate investment where it mattered most.
Why Quartile
This required more than optimization—it required a system that could learn.
Traditional approaches rely on tightly controlled structures from the start. But in a catalog of this size, that approach limits discovery and slows growth. The brand needed a strategy that allowed performance signals to emerge naturally, then acted on them with precision.
Quartile provided that balance.
By enabling broad coverage while continuously analyzing performance at the product and query level, Quartile allowed the account to scale without forcing premature constraints. As data accumulated, spend naturally shifted toward the highest-performing combinations—improving efficiency as volume increased.
This approach turned scale into an advantage, not a risk.
The Solution
Quartile implemented a system designed to compound performance over time.
The strategy began with broad catalog coverage, ensuring that a wide range of SKUs and search queries could generate performance data. Instead of limiting exposure early, the focus was on accelerating learning—giving the system enough volume to identify what truly converted.
From there, a signal-based optimization loop took over.
High-performing products and search terms were continuously reinforced through bid adjustments and budget prioritization, while inefficient areas were pruned through controlled reductions. This created a dynamic system where spend followed performance, not assumptions.
Importantly, governance was applied selectively. Rather than over-structuring the account, Quartile intervened only where necessary—maintaining flexibility while ensuring efficiency guardrails were upheld.
As scale increased, additional controls were introduced to manage pacing and cost behavior. This ensured that growth translated into stronger outcomes, not rising inefficiency.
Results & Impact
The strategy delivered strong, scalable growth while improving efficiency:
- 1,515% increase in ad-attributed revenue, demonstrating the power of expanded coverage and optimization
- 77% improvement in ROAS, showing that efficiency strengthened as the account scaled
- 15% decrease in cost per click, reducing acquisition costs despite increased competition
- Nearly 10x growth in impressions and clicks, significantly expanding reach and demand capture
These results highlight a key principle: when learning is prioritized and guided correctly, scale does not dilute performance—it enhances it. The system became more efficient as it grew.
Ongoing Value & Future State
With a scalable performance engine in place, the brand is positioned for continued expansion.
Quartile continues to refine performance across the catalog while supporting growth across additional channels, including Amazon, DSP, and emerging platforms. The foundation built on Walmart now serves as a core pillar in a broader multi-channel strategy.
What began as a scaling challenge has evolved into a repeatable growth model—one that improves as it expands.
38%
24%
24%
33%
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