What this Skill helps with

Search Terms Analyzer classifies paid-search queries by intent, relevance, conversion evidence, wasted spend, match-type risk, keyword opportunity, and landing-page fit.

Who this Skill is for

It is intended for Google Ads and Microsoft Ads teams, agencies, ecommerce marketers, lead-generation teams, and founders reviewing search demand and query quality.

What you provide

  • Search terms with campaign, ad group, match type, impressions, clicks, and cost
  • Conversions, conversion value, CPA, or ROAS when available
  • Products, services, locations, audience, and business exclusions
  • Target CPA or ROAS and the selected date range
  • Current keywords, negative lists, and landing pages
  • Brand and competitor terms that require separate treatment

What it produces

  • Query groups by intent and relevance
  • Winners supported by conversion evidence
  • Wasted-spend and low-quality query review
  • Candidate negatives with blocking cautions
  • New keyword and match-type opportunities
  • Intent-to-landing-page alignment table

How the Skill works

The workflow groups queries by meaning and business fit, then compares volume, cost, and conversion evidence with the account target. It separates strong signals from low-sample observations and keeps negative-keyword decisions distinct from keyword expansion.

Installation and first use

  1. Download and add the Skill to Claude.
  2. Attach a 30 to 90-day search-term export.
  3. Describe the offer, audience, locations, targets, and intentional exclusions.
  4. Add current keywords, negatives, and landing-page URLs when available.
  5. Review proposed negatives and bid or match-type changes in the account before implementation.

Example workflow and expected output

Provide 90 days of ecommerce search terms with revenue. Ask for winner queries, wasted spend, negative candidates, new keywords, match-type changes, and landing-page mismatches, with evidence and confidence notes for each group.

Limits and review guidance

Conversion lag, attribution, low volume, brand demand, competitor strategy, and offline sales can change the interpretation. A non-converting query is not automatically waste. Check blocking risk and business relevance before adding negatives.

Frequently asked questions

How much search-term data should I provide?

Thirty to ninety days is often useful, but use a period that reflects the campaign's sales cycle and recent changes.

Can it find new keyword ideas?

Yes. It can flag relevant converting or high-intent queries that are not represented clearly in the current keyword list.

Does it add negatives automatically?

No. It prepares candidates for human review and platform implementation.