eStore Factory shares a data-led review showing how AI-powered campaign analysis improved sales efficiency for a US foot care brand, reducing ACoS while growingeStore Factory shares a data-led review showing how AI-powered campaign analysis improved sales efficiency for a US foot care brand, reducing ACoS while growing

eStore Factory uses an AI-driven tool to cut Amazon ad waste and boost sales efficiency for a US foot care brand

2026/02/18 21:17
4 min read
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eStore Factory shares a data-led review showing how AI-powered campaign analysis improved sales efficiency for a US foot care brand, reducing ACoS while growing revenue through automated budget control, targeting optimization, and real-time performance monitoring using their Amazon product tool SellerQI. 

eStore Factory, a full-service Amazon management agency, announced a recent performance review of an Amazon foot care brand in the US market. It shows how AI-driven advertising optimization can significantly improve sales efficiency without disrupting overall momentum. The analysis highlights how SellerQI’s automated insights for disciplined budget control, tight targeting, and consistent monitoring helped reduce wasted spend while supporting steady revenue growth.

At the beginning of the review period, sales performance was stable, but advertising efficiency was limiting scalability. Total sales reached $5,207.80, with $2,246.40 coming from organic traffic and $2,961.40 driven by paid campaigns. While advertising contributed strongly to revenue, the cost of acquisition remained high, with ACoS recorded at 52.66%. This made further expansion risky, as higher spend did not guarantee proportional returns.

eStore Factory deployed SellerQI, their AI-powered Amazon PPC tool, to identify exactly where ad dollars were being wasted. Rather than introducing new campaigns or making large structural changes, the optimization effort focused on refining what was already live using SellerQI’s automated analysis. The tool flagged high ACOS campaigns and surfaced zero-sale search terms that had been draining budget for weeks. 

Budgets were redirected toward keywords and campaigns that SellerQI identified as showing clear buying intent and consistent conversion patterns. Low-performing search terms and placements were removed using negative targeting recommendations generated automatically by the platform to reduce irrelevant traffic.

SellerQI’s real-time dashboard allowed the eStore Factory’s Amazon PPC consultant team to review bids and budgets frequently, with the AI suggesting small adjustments based on recent performance data instead of infrequent large changes. The platform’s wasted spend keyword analysis pinpointed exactly which search terms had generated clicks but zero purchases, allowing the team to eliminate those budget leaks with one-click negative keyword additions.

This steady and AI-guided approach allowed the account to remain stable while gradually improving efficiency. By November 2025, total sales increased to $5,707.00, reflecting a 9.6% month-over-month rise. Paid sales grew to $3,408.60, up from $2,961.40, showing stronger conversion from higher-quality traffic identified by SellerQI’s targeting optimization. Organic sales remained steady at $2,298.40, indicating that paid advertising supported visibility and conversions rather than replacing organic demand.

The brand observed the most notable improvement in advertising efficiency. ACoS dropped from 52.66% to 33.42%. It is driven entirely by SellerQI’s ability to eliminate underperforming campaigns and reallocate budgets to profitable ones. This shift showed that growth came from better traffic quality and AI-powered spend allocation. Paid campaigns became more efficient, and wasted spend declined without slowing sales momentum.

eStore Factory emphasizes that sustainable growth often comes from tightening execution rather than chasing rapid expansion. SellerQI’s AI-driven insights ensure that budgets follow performance and decisions are guided by real-time data instead of assumptions. This allows advertising to support both short-term sales and long-term stability.

Commenting on the outcome, Jimi Patel, founder of eStore Factory, said, “Strong results come from clarity and consistency. SellerQI gives that clarity instantly. When the focus stays on what converts, what does not, and how shoppers actually behave, backed by AI that catches problems in real time, efficiency improves naturally without forcing growth. 

This performance review shows that AI-powered optimization, combined with regular monitoring and clear decision-making supported by Amazon ranking optimization, can create a healthier balance between paid and organic sales. In competitive categories like foot care, this approach builds a stronger foundation for scaling while protecting profitability and long-term performance in the US marketplace. The integration of automated campaign analysis ensures that sellers can identify and eliminate budget leaks fast, funding only the ads that drive actual growth.

About eStore Factory

eStore Factory is an award-winning e-commerce agency listed on Amazon’s SPN network, top-rated on Upwork, Clutch, and Trustpilot, and named one of the “Top 10 Amazon Consultants in the World” by Times Business News.

Since 2014, eStore Factory has helped brands of all sizes navigate the complexities of the Amazon marketplace. From humble beginnings, the company has grown into a team of over 50 remote experts, specializing in Amazon product listing optimization, PPC management, account management, and Amazon Marketing Service. eStore Factory partners with clients at every stage of their Amazon journey to drive measurable success.

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