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Turn search terms into useful actions

Search-query reports pile up without changes to ads or product pages.

For search buyers with recurring query reports and limited review capacity.

What good looks like.

Search terms become approved exclusions, ad ideas or page corrections with product context.

Starts when
The scheduled search-term review export is available.
Accountable owner
Search media buyer

Where AI could help.

AI can cluster query intent and suggest candidates; the buyer checks ambiguity before excluding traffic.

How the work could move.

A suggested process to adapt to your team. Each handoff needs a clear owner and a visible check.

  1. Prepare the query set

    Analyst

    Record term, campaign, date range, spend and conversion context.

    Ready when: The review scope and reporting limitations are explicit.

  2. Match intent to products

    Merchandiser

    Classify terms as relevant, unsupported, ambiguous or page mismatch.

    Ready when: Suggested actions cite the actual product or missing capability.

  3. Draft the action

    Search buyer

    Propose negative match type, new ad group or page ticket with affected scope.

    Ready when: Each proposal includes its intended and possible unintended effect.

  4. Review and apply

    Paid-media lead

    Approve specific edits and record the implementation date.

    Ready when: Only approved exclusions and changes enter the platform.

  5. Check follow-through

    Search buyer

    Inspect subsequent terms and confirm page-ticket ownership.

    Ready when: Accidental blocking is corrected and unresolved work remains assigned.

Explore the setup, checks, and exceptions

Start with your tools.

Use a dated search-term export and review sheet linked to the product catalog and landing pages. Apply approved edits in the existing ad interface.

When things go wrong.

  • Ambiguous terms need product review before exclusion.
  • A broad negative may block valuable variants; inspect scope and match behavior.
  • Sparse conversion data should not turn every non-converting query into an exclusion.

A useful first step.

Review twenty terms and give each proposed exclusion a product-based reason.

What to measure

Measure approved actions completed and relevant-query blocking errors.

Want this working with your team and tools?

Build it yourself, adapt what you already have, or work with us. We can help you choose where to start and handle the technical build.

Talk about your idea

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