Amazon US Apparel PPC Decision Auditor

Diagnose apparel PPC and Listing risk before changing spend

Upload normalized Amazon US Sponsored Products data plus apparel product, profit, inventory, and variation context. Receive a traceable decision audit before you change bids, negatives, targets, or budgets.

This Agent reviews one current reporting window for an apparel product or parent/child variation family. It checks size/color availability, advertised and purchased ASINs, cross-ASIN orders, lifecycle, seasonality, Listing, Featured Offer, inventory, and unit economics without applying invented category benchmarks.

What you provide

• report type, reporting dates, snapshot date, and conversion-lag policy;
• apparel segment, parent and child ASINs, size/color theme, lifecycle stage, Listing, Featured Offer, inventory, seasonality, and cross-ASIN context;
• revenue and non-ad variable cost per order;
• your own target ACOS and evidence thresholds;
• normalized row data such as impressions, clicks, spend, sales, orders, match type, relevance, advertised ASIN, purchased ASIN, base bid, and daily budget.

What you receive

• zero-safe CTR, CPC, CVR, ACOS, ROAS, CPA, contribution, break-even ACOS, target CPA, and target-CPC calculations;
• a bounded state for every row: WAIT_DATA, PROTECT_WINNER, EXPAND_EXACT, LOWER_BID_CANDIDATE, NEGATIVE_CANDIDATE, FIX_LISTING_FIRST, SEASONAL_REPLAN, or DATA_CONFLICT;
• four clear action buckets: Act now, Continue observing, Protect winners, and Fix Listing first;
• PPC-versus-Listing diagnosis, apparel variation/inventory risks, and negative-keyword collateral/traffic-isolation checks;
• seller-bounded bid and budget review ranges when required inputs exist—never automatic changes;
• a 7-day review plan with owners and checkpoints, plus evidence, reasons, confidence, and human approval for each finding;
• observations separated from diagnosis and recommendation candidates;
• missing evidence, rule IDs, risk flags, responsible owner, and a recheck condition;
• a manual confirmation queue for every proposed account-related action;
• stable JSON or Markdown output from the same normalized input.

Why this workflow is different

• Seller-defined evidence: no universal click, order, ACOS, CTR, CVR, bid, or category threshold is silently imposed.
• Economics before efficiency: supplied contribution and break-even limits constrain profit-based recommendations.
• Gates before actions: attribution maturity, listing, Featured Offer, inventory, variation, lifecycle, and data conflicts can block premature optimization.
• Conflict visibility: contradictory rows are returned as DATA_CONFLICT, not silently repaired.
• Human control: the Agent does not connect to Amazon, request credentials, or apply any bid, budget, targeting, status, or negative change.

Best for

• Amazon US apparel sellers reviewing Sponsored Products exports;
• in-house PPC operators and authorized agencies;
• teams that know their product economics and want a disciplined second opinion;
• operators who need a reviewable audit trail instead of a dashboard-only score.

Important limits

This is an independent offline decision-support Agent. It is not affiliated with or endorsed by Amazon. It does not provide live account monitoring, weekly comparison in v1, automatic optimization, guaranteed performance, or a substitute for current Seller Central records. Recommendations remain bounded by the data, economics, relevance decisions, and thresholds supplied by the user.