Quality Score

Quality Score is a metric used by Google Ads to rate the quality and relevance of your keywords, ads, and landing pages on a scale of 1-10. This score directly influences your ad rankings and cost-per-click, making it a critical factor in determining both the visibility and profitability of your advertising campaigns. Google calculates Quality Score using three primary components: expected click-through rate, ad relevance, and landing page experience, with the quality score formula weighing these factors to assess how well your ads match user intent.

A high Quality Score (7-10) indicates that your ads are highly relevant to searchers, typically resulting in lower costs and better ad positions. Conversely, a low Quality Score (1-4) suggests poor alignment between your keywords, ads, and landing pages, leading to higher costs and reduced visibility. Understanding how to calculate Quality Score helps advertisers optimize their campaigns more effectively.

Quality Score is closely interconnected with several key advertising metrics, including Click-Through Rate (CTR), Cost Per Click (CPC), and Impression Share. These relationships make Quality Score essential for Keyword Performance Analysis and Ad Copy Testing Analysis, as improvements in Quality Score often correlate with better performance across these related metrics.

Quality Score isn’t calculated using a traditional mathematical formula that advertisers can replicate. Instead, Google uses a proprietary algorithm that evaluates three main components to assign scores from 1-10.

Quality Score Components:
Quality Score = Expected Click-Through Rate + Ad Relevance + Landing Page Experience

Expected Click-Through Rate (CTR) represents how likely users are to click your ad when it appears for a specific keyword. Google compares your keyword’s historical performance against other advertisers competing for the same terms.

Ad Relevance measures how closely your ad copy matches the searcher’s intent behind the keyword. Google evaluates whether your headline, description, and display URL align with what users expect to find.

Landing Page Experience assesses your destination page’s relevance, loading speed, mobile-friendliness, and overall user experience after someone clicks your ad.

Worked Example

Consider a keyword “running shoes” in your Google Ads account:

• Expected CTR: Your historical CTR is 3.2% while the average for this keyword is 2.8% (Above Average rating)
• Ad Relevance: Your ad headline “Premium Running Shoes - Free Shipping” directly matches the search term (Above Average rating)
• Landing Page: Your product page loads in 2.1 seconds, is mobile-optimized, and features running shoes prominently (Average rating)

Google’s algorithm weighs these factors and assigns a Quality Score of 7/10 for this keyword.

Variants

Keyword-Level Quality Score applies to individual keywords and updates regularly based on recent performance data. This is the standard Quality Score most advertisers monitor.

Account-Level Quality Score represents your overall account health across all campaigns and keywords. While not directly visible, it influences your ability to run ads and impacts auction eligibility.

Historical Quality Score shows past performance data, helping identify trends and improvement opportunities over time.

Common Mistakes

Focusing only on CTR while ignoring ad relevance and landing page experience leads to incomplete optimization. All three components matter equally for improving scores.

Assuming immediate changes after making optimizations. Quality Score updates can take several days or weeks to reflect recent improvements, especially for low-volume keywords.

Ignoring mobile experience when most traffic comes from mobile devices. Poor mobile landing page performance significantly impacts Quality Score, even if desktop experience is excellent.

While it’s natural to want clear benchmarks for what constitutes a good Quality Score, the reality is that context matters significantly. These benchmarks should guide your thinking and help you identify when performance is off-track, but they shouldn’t be treated as rigid rules that apply universally to every campaign or business.

Quality Score Benchmarks

Source: Industry estimates based on Google Ads performance data

Understanding Benchmark Context

These benchmarks provide a useful framework for understanding whether your Quality Scores are performing within expected ranges. However, it’s crucial to remember that metrics often exist in tension with each other. Optimizing solely for Quality Score might inadvertently harm other important performance indicators. A holistic approach that considers related metrics alongside Quality Score will yield better overall campaign performance.

Quality Score and Related Metrics

Quality Score directly impacts several interconnected metrics that should be evaluated together. For example, while improving your Quality Score typically reduces your Cost Per Click (CPC) and can boost your Click-Through Rate (CTR), aggressively optimizing for relevance might narrow your keyword targeting so much that you sacrifice Impression Share and overall reach. Similarly, highly relevant ads might generate better Quality Scores but could limit your ability to test new messaging through Ad Copy Testing Analysis, potentially missing opportunities for breakthrough creative approaches that drive superior conversion rates despite slightly lower Quality Scores.

When your Quality Score drops below 7 or remains stuck in the 1-5 range, it’s costing you money and limiting your ad visibility. Here’s how to diagnose what’s dragging your scores down:

Poor keyword-ad relevance
Your keywords don’t align with your ad copy. Look for campaigns where you’re bidding on broad terms but your ads mention specific products, or vice versa. Check if your ad groups contain too many unrelated keywords—this dilutes relevance signals Google uses for scoring. The fix involves restructuring ad groups around tightly themed keyword clusters.

Low click-through rates
Your ads aren’t compelling enough to generate clicks. Compare your Click-Through Rate (CTR) against industry benchmarks—if you’re significantly below average, Google interprets this as poor user experience. This creates a cascade effect where low CTR leads to higher Cost Per Click (CPC) and reduced Impression Share.

Landing page experience issues
Users bounce quickly after clicking your ads. Signs include high bounce rates, slow page load times, or landing pages that don’t match your ad promises. Google tracks user behavior post-click, and poor experiences directly impact your Quality Score.

Irrelevant search terms
Your broad match keywords trigger ads for irrelevant searches. Review your search term reports through Keyword Performance Analysis to identify problematic queries. These irrelevant impressions dilute your relevance signals.

Outdated ad creative
Your ads haven’t been refreshed recently. Stale ad copy performs poorly over time as user preferences evolve. Regular Ad Copy Testing Analysis helps identify when creative refresh is needed to maintain strong Quality Scores.

Optimize keyword-to-ad group alignment
Start by analyzing your keyword performance data to identify misaligned terms. Group tightly related keywords together and ensure each ad group contains no more than 10-20 highly relevant keywords. Use Keyword Performance Analysis to segment underperforming keywords by theme, then restructure your campaigns accordingly. Validate improvements by tracking Quality Score changes week-over-week after restructuring.

Enhance ad copy relevance and testing
Create ad variations that directly mirror your target keywords in headlines and descriptions. Implement systematic Ad Copy Testing Analysis to identify which messaging resonates best with your audience. Focus on including your primary keyword in at least one headline and ensure your value proposition addresses user search intent. Monitor Click-Through Rate (CTR) improvements as a leading indicator of Quality Score gains.

Improve landing page experience
Audit your landing pages for relevance, load speed, and mobile optimization. Your landing page content should directly relate to your ad copy and target keywords. Use cohort analysis to compare conversion rates and bounce rates across different landing page versions. Pages with faster load times and clearer keyword alignment typically see Quality Score improvements within 2-4 weeks.

Leverage negative keywords strategically
Analyze your search terms report to identify irrelevant queries triggering your ads. Adding negative keywords prevents wasted spend on low-intent searches and improves overall campaign relevance. Track changes in Cost Per Click (CPC) and Impression Share to validate that negative keywords are improving efficiency without limiting valuable traffic.

Explore Quality Score using your Google Ads data | Count to track these improvements systematically and identify which strategies deliver the biggest impact for your campaigns.

Stop calculating Quality Score in spreadsheets and losing valuable optimization time. Connect your data source and ask Count to calculate, segment, and diagnose your Quality Score in seconds, giving you instant insights to improve ad performance and reduce costs.