Amazon Wasted Spend Analyzer

Problem

Amazon ad budget leaks quietly. Search terms that never convert, keywords with high spend and no sales, competitor ASINs that soak up clicks. Finding them meant exporting the search term, keyword and target reports every week and reading thousands of rows by hand. It took 8 to 10 hours a week and it was the kind of job that gets skipped when the week gets busy.

Approach

I built a skill in Qore, the AI builder inside the Trellis ads platform, that runs every Monday without being asked.

It reads the search term, keyword and target reports together and acts on the waste itself. Anything that has spent more than $15 with no sales at all gets flagged. Anything below 1.75 ROAS gets banned automatically, so the spend stops without anyone having to work through a report.

It also reads back its own history of applied changes, so it can show what it actually did rather than only what it recommended.

Result

• 8 to 10 hours a week back, around 450 hours a year
• Runs unattended every Monday across the US and German accounts
• Wasted search terms get banned automatically, with no report to read through
• Thresholds are settings, not code, so the rules can be retuned without rebuilding anything