$1 Million in Revenue with 62% YoY Growth

A rapidly scaling Amazon brand approached us with rising ad costs, unstable campaigns, and inconsistent keyword performance. Despite solid product demand, the account lacked structural efficiency—leading to wasted budget and untapped revenue potential.

Our objective was simple: stabilize the ad engine, reduce ACoS, and unlock profitable scaling within the first month.

The Problem

Before optimization, the account showed several critical inefficiencies:

• Unbalanced campaign structure resulting in uncontrolled spend
• Bid volatility across high-intent keywords
• Poor keyword segmentation mixing awareness and buyer-intent terms
• Underutilized placement insights causing missed opportunities
• Minimal negative keyword coverage, increasing wasted spend

These issues combined to create a high-cost environment with unpredictable ROAS.

The Solution

We rebuilt the ad system from the ground up using a data-driven structure designed for control, efficiency, and scale.

Strategy & Execution

Here’s exactly what we implemented to achieve a profitable 15.52% ACoS and drive over $81K in 23 days:

1. Intent-Based Campaign Architecture

We separated all campaigns by search intent:

• High-intent buyer keywords
• Mid-intent discovery keywords
• Low-intent broad traffic

This allowed precise bid allocation and eliminated keyword competition within the same account.

2. Stabilized Bidding Framework

We introduced a tiered bidding model:

• Conservative bids for broad discovery
• Aggressive bids for top-performing exact match terms
• Placement multipliers only where ROAS proved consistently profitable

This removed the bid volatility that had been eroding margins.

3. Placement Optimization for Maximum Efficiency

Using performance diagnostics, we shifted budget toward placements delivering the strongest conversion rates, specifically top-of-search positions for winning SKUs.

4. Expanded Negative Keyword Matrix

We built and continuously updated a negative keyword sheet to block irrelevant search terms and prevent bleed from broad match campaigns.

5. Cost-to-Sales Ratio Improvement

Through daily bid refinement and keyword pruning, we ensured budget flowed only into profitable segments—resulting in a leaner and more scalable ad system.