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Fix: Median Quality Score below 5 across keywords

finding google ads updated 2026.05.06 5 min read

A median Quality Score under 5 is a tax on every click in the account. Ad Rank penalties compound across the keyword set, raising effective CPC and shrinking auction eligibility long before any bidding tweak helps.

Why this matters

HIGH severity. Quality Score is the keyword-level multiplier in the Ad Rank formula, and Google states it directly that "your Ad Rank is calculated using your bid amount, auction-time ad quality... and other factors" (Google Ads Help, About Quality Score). Keywords with QS ≤ 4 lose auction eligibility against equally-bid competitors at QS 7+, and the cost of clicks that do fire is inflated to compensate.

The Whitead rule fires when the share of enabled keywords with QS ≤ 4 crosses three thresholds:

  • < 10% → passed (healthy)
  • ≥ 10% → warning (medium)
  • ≥ 20% → failed (high)
  • ≥ 40% → failed (critical)

Because the rule surfaces the cost slice tied to those keywords (failed_items_cost_dollars), the audit can quantify the impact: every dollar spent on a QS-≤-4 keyword is paying a relevance penalty that disciplined ad-group hygiene removes. Industry observers consistently flag QS as a leading indicator for CPC trajectory (WordStream, Quality Score guide, 2025-09).

How to verify the issue

  1. Open CampaignsAudiences, keywords, and contentSearch keywords.
  2. Click ColumnsModify columns → expand Quality Score and enable: Quality Score, Exp. CTR, Ad relevance, Landing page exper.. Save.
  3. Sort the keyword table by Quality Score ascending and filter Status = Enabled. Count keywords with QS ≤ 4 and divide by total enabled keywords.
  4. For each component column, note whether the rating reads Below average, Average, or Above average — this tells you which lever to pull first (ad copy vs landing page vs match-type sprawl).

If the share crosses 10%, the finding is confirmed. The failing component(s) determine the fix path below.

How to fix it

Total time: 2-4 hours of structural work plus a 21-day measurement window.

  1. Split ad groups by intent. Group keywords so each ad group covers one tightly-scoped concept (one product, one buyer stage, one match-type tier). Ad groups with mixed intent dilute ad relevance because a single RSA cannot speak to all queries it serves. Use search query mining to surface the natural clusters.

  2. Add tightly-targeted negatives. Broad and phrase match without negatives drag QS down via irrelevant impressions that depress expected CTR. Pair this fix with Fix: Negative keywords missing and the negative keywords hygiene baseline. Add 50-200 negatives sourced from a 30-90 day search terms export.

  3. Rewrite RSAs for ad relevance. Pin one keyword-anchored headline to position 1 (H1) so the user query phrase appears in the served ad reliably. Add 12-15 headlines and 4 descriptions covering benefit, proof, and CTA. RSA Ad Strength of Good or Excellent correlates with higher ad relevance ratings (see Fix: RSA ad strength poor).

    Headline 1 (pinned P1): {KeyWord:Project Management Software}
    Headline 2 (pinned P2): Trusted by 5,000+ Teams
    Headline 3 (unpinned):  Free 14-Day Trial — No Card
    Description 1 (pinned): Plan, track, ship in one workspace.
    
  4. Audit landing page parity. The landing page must mirror the ad group's promise: same headline language, same offer, same CTA, fast load (LCP < 2.5s), HTTPS, and clear trust signals. A Below average landing page experience rating costs as many QS points as a poor ad (Google Ads Help, About landing page experience).

  5. Pause structural-loss keywords. Keywords with QS ≤ 3 that have served ≥ 1,000 impressions in 90 days without conversion are unlikely to recover. Pause them and let the remaining set re-weight Quality Score upward.

"Quality Score is an estimate of the quality of your ads, keywords, and landing pages. Higher quality ads can lead to lower prices and better ad positions."
Google Ads Help, About Quality Score (accessed 2026-05-06)

How to confirm the fix worked

Confirmation checklist — re-measure after 21 days of stable spend

  • Median QS across enabled keywords moved up by ≥ 1 point (target: median ≥ 6).
  • Share of QS ≤ 4 keywords dropped below 10% (rule status: passed).
  • Average CPC on the previously low-QS cluster is lower than the pre-fix baseline at equal-or-higher CTR.
  • All three component ratings (Exp. CTR, Ad relevance, Landing page exper.) read Average or Above average on the top 20 spend keywords.
  • Conversion volume held flat or grew — quality lift is real only if it is not bought via traffic loss.

If all five pass, re-run the audit and the rule transitions from failedpassed.

Methodology note. Whitead measures this rule at the campaign scope by aggregating enabled keywords from the Google Ads keyword_view resource, dropping zero-impression keywords (Google reports QS as null until enough auction data accrues), and computing the percentage at QS ≤ 4. The cost slice (failed_items_cost_dollars) feeds the impact formula so the audit can rank this finding against budget-limited and tracking-gap findings on monetary recoverable spend rather than count alone. We surface the three sub-component ratings (Exp. CTR, Ad relevance, Landing page exper.) in the remediation panel because the fix path forks on which component is rated Below average — a copy-only fix on a landing-page-rooted issue will not move QS.

Sources