amazon-ads-performance-drop-diagnosislisted

# Amazon Ads Performance Drop Diagnosis ## Objective Diagnose the cause of a decline. Do not produce a generic performance recap. Trace when the break started, quantify the impact, isolate the entities causing the loss, connect ads movement to BSR/rank movement, and recommend only the actions supported by evidence gates. Protect sales velocity and organic momentum; do not optimize only for lower ACOS or lower spend. ## Public-Safe And Vendor-Neutral Guidance This skill is intended for reusable public guidance. Do not include client-sensitive, account-sensitive, competitor-sensitive, or private examples in the skill, its references, or generated reusable templates. Use synthetic examples only when examples are necessary. Do not depend on or name any specific third-party retail-data vendor. Refer generically to `retail intelligence data`, `rank history`, `offer snapshot`, `cached retail data`, or `external retail data source`. ## Repeatable Drop Analysis Flow Use this flow in order for every account, ASIN, campaign, marketplace, or product performance-drop diagnosis unless the user explicitly narrows the scope. If Rocketcart tools are available, use Rocketcart trusted data/API paths and canonical optimization endpoints. Screenshots and stale exports are validation inputs only and must not drive optimization recommendations. ### Default Periods - Freshness check: latest trusted reporting date; anchor recent analytics on T-1. - Drop window: T-7 through T-1 unless the use