PPC Search-Term Miner

The problem

PPC search-term reports are often overwhelming data dumps that sellers ignore. Advertisers struggle to identify which specific matches are draining budget and which winners deserve higher bids without spending hours in spreadsheets.

What it does

• Analyzes raw search-term exports from Amazon and Shopee advertising consoles.
• Categorizes every search term into proven winners, irrelevant waste, or borderline test candidates.
• Generates copy-paste ready lists of exact negative keywords to immediately stop wasted spend.
• Recommends specific match-type transitions for high-converting terms to scale performance.
• Calculates a summary of the expected impact from blocking identified irrelevant traffic.

Why this beats prompting it yourself

General AI often gives vague advice like "optimize your keywords." This skill applies a specific marketplace logic for Amazon and Shopee, ensuring negative suggestions are formatted for direct input and match types are selected based on actual conversion data rather than guesses.

Use cases

• Audit weekly Amazon search-term reports to prune non-converting traffic.
• Extract high-performing customer queries to launch new exact-match campaigns.
• Clean up Shopee Broad Match campaigns that are picking up off-topic terms.
• Identify low-cost "borderline" terms for small-budget phrase match testing.