TrackIQ

Agent Skills for Amazon sellers running the TrackIQ MCP. Install the whole catalog with one command in Claude Code, or upload any skill as a zip to Claude or ChatGPT.

Uses Amazon Marketing Cloud to find which products bring new customers into a brand and which mostly sell to people who already buy it — new-to-brand share by ASIN, month by month, the gateway products worth more ad weight, the retention products that need less, and how much Sponsored Products and Display spend each group gets today.

Ranks every campaign Amazon Marketing Cloud can see — Sponsored Products, Sponsored Brands, Sponsored Display and DSP — by how many of its purchases came from new-to-brand customers, month over month, and where the campaign's spend can be matched, what each new customer cost; so the campaigns that recruit are funded and the ones that only…

Reads Amazon Marketing Cloud's time-to-conversion data to show how long shoppers take between their first ad touch and purchase — the share that buys within the hour, the day and the week, and how that shifts month to month — then turns it into two decisions: which attribution window to report on, and how many days ahead of a sales event to…

Audits how an Amazon Sponsored Ads account is built rather than how it performed last week — ad groups crowded with unrelated products, the same product advertised in a dozen ad groups competing with itself, keywords stacked in every match type inside one ad group, spend sitting outside any portfolio, and selling products with no ad at all —…

Splits every Amazon Sponsored Products and Sponsored Brands search term into branded, competitor, product-targeting and generic buckets, then shows where the ad money really goes — how much is spent on shoppers who already typed the brand, what generic search returns once brand is taken out, whether competitor conquesting pays — and checks…

Ranks an Amazon catalogue by how much each product's revenue moved between two periods and decomposes every mover into its cause — traffic, conversion rate, units per order, or average selling price — so the answer is "sessions fell 31%", not "sales are down". Use when the user asks why sales are down or up, what moved, which pr

Builds the month-end client deck for one Amazon brand — revenue and spend against the previous month and the same month last year, the organic and paid split, category and product mix, what moved and why, and a prioritised plan for next month. Checks that last year's ad data actually exists before drawing a year-on-year comparis

Grades a newly launched Amazon ASIN week by week through its first twelve weeks — units and revenue against a target curve, session growth, conversion rate, review accumulation, organic rank on its target keywords, and TACoS against a declining break-even glide path — ending in a go, hold or fix verdict with one lever. Use when

Measures what a completed Amazon stockout actually cost — lost units and revenue against the pre-stockout run rate, how far sessions and conversion fell, whether they have come back, and how long recovery is taking — then produces a staged plan for restarting ads and rebuilding rank. Use when the user asks what a stockout cost,