How a Fashion Brand Grew Sales 22% with Lower Spend

22%

increase in ad sales, despite lower spend

31%

improvement in ROAS, driving stronger capital efficiency

24%

improvement in ACOS, restoring profitability
Name
Industries
Fashion
Channels
Amazon

22%

increase in ad sales, despite lower spend
Share

This premium fashion brand specializes in handcrafted ethnic apparel, offering a large catalog of embroidered garments across women’s and men’s categories. With deep SKU variation across fabric, color, and design, performance depends on disciplined campaign management and efficient allocation across best-selling and seasonal products.

The Challenge

The issue wasn’t demand—it was dilution.

Following inventory disruptions, previously strong-performing products went out of stock. Organic rankings dropped, and the account became increasingly dependent on paid traffic to maintain sales.

At the same time, spend remained broadly distributed across a large catalog. Budget was spread too thin, including across underperforming and low-availability products. This created inefficiency and instability.

Performance reflected the imbalance. Efficiency declined year over year, and advertising costs increased without delivering proportional growth. Weekly performance became volatile, with sharp spikes in inefficiency driven by specific campaigns and product segments.

The brand wasn’t lacking traffic. It was lacking control.

Why Quartile

This required more than optimization—it required discipline.

Quartile identified that the core issue was capital allocation. Without clear prioritization, even strong demand could not translate into efficient growth.

By introducing structured segmentation, rule-based controls, and placement-level optimization, Quartile created a system where spend followed performance—not the other way around.

The goal was not to push more volume. It was to restore efficiency first, then scale from a stable foundation.

The Solution

Quartile rebuilt the account around performance clarity.

Campaigns were segmented by product tier, isolating best sellers and mid-performing ASINs while reducing investment in low-velocity or stock-constrained products. This ensured that budget flowed toward products with proven conversion strength.

At the keyword level, high-performing search terms were separated into dedicated campaigns. This allowed for more precise bidding and better control over high-intent traffic.

Placement strategy was refined to prioritize top-of-search visibility, where conversion rates were strongest. At the same time, exposure in less efficient placements was reduced to prevent wasted spend.

Sponsored Brands Video campaigns were introduced to strengthen category presence and support incremental reach, particularly in competitive segments.

Finally, Quartile’s rule-based optimization enforced strict efficiency thresholds—aligning bids, budgets, and placements to target performance levels while reducing volatility across the account.

The result was a controlled system built on prioritization, not volume.

Results & Impact

The shift from scale to precision delivered measurable improvements:

  • 22% increase in ad sales, despite a reduction in spend  
  • 31% improvement in ROAS, increasing return on every dollar invested  
  • 24% improvement in ACOS, restoring profitability  

Beyond efficiency gains, performance became more stable. Weekly volatility declined significantly, with consistent efficiency levels replacing previous spikes.

These results demonstrate that growth does not require more spend—it requires better allocation.

Ongoing Value & Future State

With a structured and disciplined framework in place, the brand now operates with greater efficiency and predictability. Campaign performance is stable, budget allocation is intentional, and scaling decisions are grounded in clear performance signals.

Quartile continues to refine segmentation and optimization strategies, ensuring the brand can grow while maintaining strong profitability across a complex catalog.

38%

increase in ROAS

24%

increase to Ad Sales

24%

increase to Ad Sales

33%

Reduce in Ad Spend