Build an Amazon Ads case study with a comparable baseline, spend, attributed sales, profit context and a clear record of what changed. Includes a completed example and a copyable spreadsheet worksheet.

Review old Amazon negative keywords safely: separate relevance exclusions from performance decisions, wait for mature data and run bounded retests.

Calculate break-even ACoS from revenue and variable costs, allow for desired contribution, and test price, fee and conversion changes.

Diagnose an Amazon Ads ACoS increase by checking reporting maturity, CPC, conversion, price, stock and recent changes before adjusting campaigns.

Migrate Amazon PPC tools with campaign inventories, one active writer, read-only comparison, a bounded cutover and verified rollback.

Set practical guardrails for ML bidding: mature inputs, effective bid caps, single-writer ownership, change limits, readback and rollback.

Build a practical Amazon new-to-brand review: validate report fields, calculate purchase and sales shares, compare cohorts and avoid double counting.

Compare fixed, spend-based, tiered and hybrid PPC software fees with a total-cost worksheet and a worked break-even example.