The Problem
Inefficient ads were eating profits.
Roughly two-thirds of every ad dollar was being lost to inefficient spend, with strong investment but weak returns.
The root cause was the campaign structure. Budgets were allocated to every SKU regardless of performance, while brand and non-brand keywords were blended together, obscuring true conversion drivers. There was no dayparting or bid automation, and campaigns were launched once and left unoptimized.
At the same time, the hero listing had a top 10 ranking partly driven by advertised sales velocity. Maintaining ad spend was essential to sustain visibility but without efficiency, it was an expensive and unsustainable approach.
Diagnosis
67% ACOS
Budget spread across all SKUs equally
No dayparting
Ranking to maintain
Brand and non-brand mixed
No automated bid rules
WHAT WE DID
New architecture. Continuous optimization.
We tore down the campaigns and rebuilt them. Then we put our AI agents on top to run them around the clock. One without the other doesn't work — good structure with manual management is slow, and automation on a broken structure just optimizes the wrong thing faster.
STRATEGY — THE STRUCTURE
1
Rebuilt every campaign from zero
We separated auto, keyword, and competitor targeting into distinct ad groups by product with clean naming conventions so performance is readable at a glance by both humans and AI agents.
2
Separated brand from non-brand
We split branded and non-branded keywords into isolated campaigns with independent budgets, giving us a clear view of acquisition cost versus demand capture for the first time.
3
Concentrated spend on core products
We pulled budget from long-tail SKUs and consolidated it around the products with the strongest margin and velocity potential. Built rank on a few, then expanded from there.
AI AGENTS — THE EXECUTION
4
24/7 bid optimization
Our AI agents sit on top of the campaign infrastructure and adjust bids continuously based on real-time performance — scaling high-converting keywords and suppressing underperformers across thousands of decisions per day.
5
Budget deployed by conversion window
Our AI agents identified STREGA's peak conversion windows and concentrated spend in those hours rather than distributing it evenly across the day.
6
Strategist approval at every step
Our AI agents surface recommendations. The ad strategist confirms direction and approves changes before they go live. Automation with oversight, not a black box.
BEFORE & AFTER
Spend & Sales Up - ACoS & TACoS Down.
RESULTS
Growth and efficiency. Not a tradeoff.
Sales
Growth
TACoS
Profitability
Ad Conv. Rate
Efficiency
