Skill market 6 skills

Tear the competitor listing you pasted in (title + bullets + per-image notes + price + rating / review count + image count) into a title formula, bullet structure, image narrative, price band and review velocity, then tier your own keyword list and compute competitor coverage

Split an exported keyword list into five buying-intent tiers — core / scene / attribute / longtail / negative — then turn it into ad groups and a negative keyword list you can set up as written.

Map ad reports exported from Amazon Ads / Google Ads / Meta onto one shared column set, split the funnel into four stages (impressions, clicks, conversions, break-even), work out which stage leaks money, how much it leaks and what your bid ceiling is, and output a negative keyword list you can add as-is and a prioritized action table

Run one returns report through three outputs: six root-cause classes grouped by what you can actually fix (size / not as described / damage / expectation gap / logistics / other), the 8 costs behind every single return with an addition formula you can do by hand, and field-level edits telling you which part of the listing to change

Sourcing data tells you how well it sells; only reviews tell you why people buy and why they send it back.

Split Feedback / product reviews / A-to-Z claims into removable / malicious / genuine / not removable, write English removal requests and bilingual reply drafts you can submit as-is, then work out whether this one case will push ODR over the line and how many