Google Ads Quality Score Diagnosis

Quality Score Diagnosis and Prioritization

Applies whenever a keyword-level quality signal is available and CPC or ad-rank performance is in question.

The play

1. Treat Quality Score as a diagnostic, not a KPI. Never optimize toward the score itself or report it as a headline metric — it exists to point at which of three components (expected click-through rate, ad relevance, landing page experience) is dragging a keyword down, each rated below average, average, or above average.
2. Weight the fix list by spend, not by score. A below-average component on a keyword burning real budget matters far more than the same flag on a keyword that barely spends — fix the expensive ones first, and don't chase score on low-volume keywords where the read is unreliable in the first place.
3. Route each below-average component to a different fix, because they don't share a cause: below-average expected CTR means the ad isn't compelling enough for the query it's showing on; below-average ad relevance means the ad and the query have drifted apart, usually from an ad group covering too many themes; below-average landing page experience means the page itself — speed, match to intent, ease of use — isn't holding up its end.
4. For ad relevance specifically, check ad group breadth before touching the ad copy. A group covering fifteen loosely-related terms with one ad can't be relevant to all of them — split it into tighter, single-theme groups before rewriting anything.
5. Give landing page experience issues time and the right owner — cite the estimated CPC savings across affected spend to justify the page work, since that's usually a different team's backlog item, not something to fix inside the account.
6. Re-check on a weekly cadence, not daily — day-to-day Quality Score noise from Google's own recalculation will make a fine account look like it's regressing.

What good looks like

• The best diagnosis never treats a "below average" flag as one problem — it separates which of the three components is actually driving it, because the fix for each is completely different work.
• The common mistake is chasing Quality Score to 10. Scores of 7-8 are the realistic ceiling for most keywords; treating anything below 10 as broken burns effort with diminishing returns instead of moving to the next highest-spend keyword that actually needs the attention.
• A good fix list is spend-weighted and names the specific component driving each entry — a list that says "improve relevance" without saying which keywords, which component, and how much spend is affected hasn't actually diagnosed anything.

Rules

• MUST weight prioritization by spend affected, not by score alone.
• MUST identify which specific component (expected CTR, ad relevance, landing page experience) is below average before recommending a fix.
• NEVER report Quality Score as a performance KPI on its own, and never optimize toward the number instead of the underlying component.
• NEVER pursue score improvements on keywords with too little volume for the component ratings to be a reliable read.