Quality Score

Quality Score is a 1-10 diagnostic rating in Google Ads that estimates the quality of your ads, keywords, and landing pages relative to other advertisers. It is composed of three factors: expected click-through rate, ad relevance, and landing page experience. Higher Quality Scores lead to lower costs and better ad positions.

Key Takeaways

• Quality Score is rated 1-10 at the keyword level in Search campaigns
• Three components: Expected CTR, Ad Relevance, and Landing Page Experience
• Each component is rated “Below Average,” “Average,” or “Above Average”
• Quality Score directly impacts Ad Rank and actual CPC
• It is a diagnostic tool, not a KPI — use it to identify problems, not to optimize directly

What Is Quality Score

Quality Score is Google’s assessment of how well your ad experience matches what a searcher is looking for. It is calculated at the keyword level and reflects the combined quality of your ad copy, keyword relevance, and post-click experience.

Component	Weight (Approx.)	What Google Evaluates
Expected CTR	~40%	How likely your ad is to be clicked compared to competitors
Ad Relevance	~20%	How closely your ad matches the intent behind the keyword
Landing Page Experience	~40%	Page quality, relevance, load speed, mobile usability

Google reports each component as “Below Average,” “Average,” or “Above Average” relative to other advertisers on the same keyword.

How It Works

Quality Score influences every auction your keyword enters but is not used directly in the real-time auction calculation. Instead, Google uses more granular, real-time versions of the three factors. The visible 1-10 Quality Score is a simplified diagnostic summary.

The relationship between Quality Score and cost:

1. Ad Rank = Max CPC Bid x Quality Score (simplified)
2. Actual CPC = (Ad Rank of competitor below / Your Quality Score) + $0.01
3. Result: Higher Quality Score = same position at lower cost, or better position at same cost

In the 2026 Google Ads interface, Quality Score and its three components are available as columns in the Keywords report. Historical Quality Score data is also available to track changes over time.

Practical Example

A B2B software company reviews Quality Score on their top keywords:

Keyword	QS	Expected CTR	Ad Relevance	Landing Page
”project management tool”	8	Above Average	Above Average	Average
”team collaboration software”	5	Average	Below Average	Average
”task management app”	3	Below Average	Below Average	Below Average

Impact on CPC for each keyword (assuming same competitor landscape):

Keyword	QS	Actual CPC	Equivalent CPC at QS 8
”project management tool”	8	$4.50	$4.50
”team collaboration software”	5	$7.20	$4.50
”task management app”	3	$12.00	$4.50

The QS 3 keyword costs 2.7x more per click than the QS 8 keyword for the same ad position. Fixing the third keyword’s Quality Score from 3 to 8 would reduce its CPC by approximately 63%.

Action plan:

• “team collaboration software”: Ad relevance is Below Average — create a dedicated ad group with ads specifically mentioning “collaboration” to match the keyword
• “task management app”: All three components need work — build a dedicated landing page, write tailored ad copy, and improve CTR through better headlines

Why It Matters

Quality Score matters because it is the mechanism Google uses to reward relevance and penalize poor experiences:

• Cost efficiency — a Quality Score of 8 versus 5 can reduce CPC by 30-50% on the same keyword, translating to thousands of dollars saved monthly
• Competitive advantage — advertisers with higher Quality Scores can outrank competitors who bid more aggressively, creating a sustainable cost moat
• Diagnostic clarity — the three-component breakdown tells you exactly what to fix. Below Average landing page experience? Improve page speed and relevance. Below Average expected CTR? Write better ads.
• Bid strategy effectiveness — automated bidding strategies perform better when Quality Scores are high because the algorithm has a more efficient cost structure to work within

The most important nuance: Quality Score is a diagnostic, not an optimization target. Do not add irrelevant keywords just because they have high Quality Scores. Focus on improving Quality Score for keywords that drive business results.