CASE STUDY
Yoga Crow
Client: Yoga Crow
Industry: Direct-to-Consumer Activewear
Channels: Amazon, Google Shopping, Google Performance Max
Services: Amazon Paid Media, Google Shopping, Performance Max, Product Feed Optimization
Engagement Type: Ecommerce paid media
Yoga Crow is a direct-to-consumer activewear brand selling across Amazon and its own Shopify storefront. COVID-19 created a supply chain crisis that forced a reduction in media spend. With inventory constrained, sales collapsed. By the time supply normalized, the advertising infrastructure had deteriorated and a series of low-cost generic management providers had made it worse.
Low-Cost Providers Cost More Than They Save. The Difference Shows Up in Your ACOS.
What the Client Came In With
Amazon campaigns were running an ACOS of 78% with a ROAS of 1.28 — effectively spending nearly as much on advertising as the revenue it generated. Previous providers had relied on Amazon’s automated campaign suggestions without the manual analysis required to turn those suggestions into a performing account. Hundreds of underperforming keywords had accumulated, diluting budget and suppressing conversion focus. The Shopify site was generating insufficient qualified traffic. The brand needed a rapid performance turnaround across both channels simultaneously.
What the Assessment Revealed
The Amazon account had no meaningful keyword discipline. Automated suggestions had been accepted and accumulated without human review, spreading budget across keywords that individually seemed plausible but collectively diluted the campaigns’ conversion focus. The fix was not sophisticated, it required the expertise and time investment that generic low-cost management had never applied.
The Shopify product feeds feeding Google campaigns required optimization before any paid media could perform effectively. Infrastructure first, then campaigns.
Automated Suggestions Are a Starting Point.
They Are Not a Strategy.
What We Built
On Amazon, a specialist conducted a manual review of every keyword across all campaigns — identifying and eliminating underperforming keywords that were consuming budget without contributing to conversion. This was not a one-time cleanup but an ongoing discipline applied throughout the engagement. Campaign structure was rebuilt around conversion performance rather than coverage volume.
On the website side, Shopify product feeds were optimized first to ensure campaign data quality. Google Performance Max was implemented alongside Google Shopping, giving the algorithm the clean feed and audience signals it needed to find qualified buyers efficiently.
Both channels were managed as a connected system, with performance data informing decisions across the full account rather than in isolation.
The Outcomes
By December 2023, Amazon ACOS had dropped from 78% to 41% and ROAS had improved from 1.28 to 2.46 — during the most competitive period of the retail calendar. Year-over-year website performance for the same period showed orders up 209%, gross sales up 312%, and net sales up 288%.
ACOS Cut Nearly in Half. Website Orders Up 209%. Gross Sales Up 312%.
Why It Worked
The performance improvement came from applying experienced human judgment to an account that had been managed by automation and generic oversight. Automated platforms and Amazon’s own campaign suggestions are useful tools. They are not a substitute for a specialist who reviews every keyword, understands what the data is actually saying, and makes decisions that automation is not equipped to make. When budget is limited, that distinction matters most. Every dollar reallocated from an underperforming keyword to a converting one compounds directly into ROAS. That is what happened here.
Services involved in this engagement: