We focus on what the numbers are telling us and use that insight to improve performance strategically.
A growing Amazon brand was struggling with rising CPCs, erratic keyword behavior, and a lack of unified PPC structure. Although their products had solid demand, the account’s inefficiencies prevented stable revenue and profitable scaling.
We stepped in with one goal: remove waste, improve control, and restore profitability within the first 30 days.
The account showed several bottlenecks limiting growth:
These issues caused a high ACOS and prevented any meaningful optimization.

We rebuilt the PPC system around structured segmentation, controlled bidding, and tight budget routing to eliminate waste and improve conversion reliability.
We reorganized campaigns around:
This improved traffic quality and clarified optimization paths.
We implemented dynamic bids based on real conversion data:
This stabilized CPCs and reduced unnecessary spend.
We developed a negative keyword matrix to block irrelevant, non-converting search terms and prevent broad match bleed.
We reallocated spend toward the keywords and ASINs consistently driving conversions, increasing overall return efficiency.
Daily pruning and controlled scaling created a tighter relationship between spend and sales, resulting in a more balanced ACOS and predictable performance.
Founder