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Review Quality Score components across keywords

Quality Score components via GAQL, aggregated to where the fix lives.

IntentWhere QS is lost: expected CTR, relevance, or landing experience.

2
Steps
2
Tools
1
Rules
1
Failure modes

When to use it

Use it when

  • CPCs drifting up at stable bids.
  • Structural reviews.

Do not use it when

  • Chasing QS as a goal: it is a symptom map, spend efficiency is the goal.

What it needs first

Required

Preconditions

  • The account is ticked in the dashboard, confirmed via list_accounts.

Inputs

window
Analysis window.Default: last 30 days.

Procedure

In order. Every tool named is one the gateway ships, and links to its reference.

  1. Query QS components per keyword.

  2. Aggregate by component and by ad group.

Decision rules

The observable condition, what it lets you conclude, and what takes the conclusion back.

  • When

    One component drags across an ad group

    Conclude

    One fix class: copy for relevance, page for experience, both for expected CTR.

Evidence every conclusion must carry

  • Every figure carries its account, metric and window.
  • Anything below a readable sample size is reported as unjudged, not as zero.

Where the agent stops

  • The readout changes nothing. Any change it motivates goes through Safe Writes: preview, human confirmation, then apply.

How it goes wrong quietly

The cases where the analysis is wrong and still looks right. Read them before trusting a number.

  • Historical QS fields differ from current: name which the table shows.

What the answer contains

01Readout
The figures, with windows and accounts named.
02Flags
What deserves a deeper skill or a human decision.