For 7-figure brands, ad spend does more than drive sales. It shapes margin, rank, inventory pressure, cash flow, and enterprise value. Systems Lab builds the product-level operating layer that decides where spend should go and why.
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For 7-figure Amazon brands with meaningful ad spend, SKU complexity, and profit targets that matter.
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The issue is rarely a lack of bid changes. Spend is being moved without enough context on margin, inventory, rank, product role, and the value of the business.
Waste is rarely just a list of bad terms. On larger accounts, budget gets stuck behind products, placements, or campaigns that no longer deserve it.
A product with 30% margin and 90 days of stock should not be funded like a product with 55% margin and clear rank upside. Each SKU needs its own rules.
Most agency transitions start inside the ad console. We start with the business model: margins, stock, rank, contribution profit, and the role each product is meant to play.
Real brands, real data, and real operating decisions, with profit, rank, and inventory all pulling on the account.
We'll map SKU economics, rank priorities, stock constraints, and spend allocation. Then we'll show what should be protected, cut, or funded next.
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Every account starts with an economics map. From there, PPC becomes a controlled operating system: which ASINs deserve spend, where rank is worth buying, where waste needs cutting, and what must be protected.
We map contribution margin, Amazon fees, ad spend, inventory, rank, market share, and product role. The goal is to know how each product should behave before we touch spend.
Search terms, ASIN targets, placements, budgets, and negatives are managed against the economics of the product they serve. Budget moves where the business case supports it.
Software handles the repeatable work. A senior strategist handles the judgement calls: when to buy rank, when to defend share, and when to pull back for profit.
We build alongside the existing structure, prove the new campaigns, and phase out the old ones gradually. The account keeps selling while the operating system gets rebuilt.
The 48 deliverables exist because larger accounts need more than bid changes. They create the analysis, structure, execution, and reporting required to manage PPC as part of the P&L.
Phase 1
Week 0 · 10 deliverables
Phase 2
Weeks 1-2 · 8 deliverables
Phase 3
Weekly cadence · 8 deliverables
Phase 4
Ongoing · 7 deliverables
Phase 5
Ongoing · 8 deliverables
Phase 6
Ongoing · 7 deliverables
At this level, the choice is usually hiring the strategy, data, and execution layer internally, or plugging into one already built for Amazon profit decisions.
Typical PPC Agency
PPC Software Tool
SYSTEMSLAB
AI handles depth. Humans handle judgement. Software handles consistency. The result is cleaner profit growth without losing sight of rank, inventory, or market share.
AI Intelligence
Our AI scans search terms, competitor behaviour, SQP data, and market trends. It finds patterns across thousands of keywords and ASINs that would take a human analyst weeks.
What this means for you
Human Strategy
AI finds the data. A senior strategist decides what to do with it. The call depends on margin, stock, category, lifecycle, and where the brand is trying to win.
What this means for you
Software Execution
Once the strategy is set, software executes the repeatable work: bids, budgets, negatives, harvesting, and placements. Changes happen on schedule, with the account rules already defined.
What this means for you
For 7-figure Amazon brands ready for a more serious operating layer. We will review SKU economics, account structure, and spend allocation, then show what should change.