Quality Score · Every Factor Explained

Quality Score is a diagnostic metric reported at the keyword level on a 1–10 scale. It is Google's estimate of the quality and relevance of your keywords, ads, and landing pages relative to competitors targeting the same keywords. A score of 1 means your quality is significantly below average; a score of 10 means it is above average across all advertisers targeting this keyword.

Quality Score is a reported approximation — the actual quality calculation used in each auction is more granular and context-specific. The 1–10 score you see in the interface is a rolling average intended to give directional guidance, not the precise value used in any specific auction.

Quality Score components and their diagnostic labels

Each of the three Quality Score components is reported with a status label — Above average, Average, or Below average — helping you identify which component to prioritise:

Expected CTR is Google's prediction of how likely your ad is to be clicked when shown for a specific keyword, compared to other ads competing for the same keyword. It is calculated from historical CTR data for your specific keyword-ad combination, adjusted for position (since CTR varies significantly by position) and context.

For new keywords with no history, Google estimates expected CTR based on historical CTR data for the same ad copy, similar keywords, and the advertiser's account history. New accounts with no history start with neutral (Average) expected CTR.

Factors that influence expected CTR

• Ad copy quality. Compelling headlines and descriptions that match user intent and create desire to click directly increase CTR. Generic, vague ad copy produces below-average CTR.
• Keyword relevance in ad copy. Including the search keyword in the headline (using Dynamic Keyword Insertion or structured ad groups) often increases CTR by signalling direct relevance.
• Ad extensions. Ads with extensions occupy more SERP space and provide more clickable surface area — consistently producing higher CTR than text-only ads.
• Match type specificity. Exact match keywords typically produce higher CTR than broad match for the same query, because exact match ensures tighter alignment between the keyword and the actual search.
• Competitive position. Ads in position 1 have higher CTR than ads in position 3. Google's expected CTR calculation normalises for position — below average expected CTR means your CTR is low even accounting for position.

Ad relevance measures how closely your ad's content matches the search intent of users triggering your keyword. A below-average ad relevance score typically indicates that your ad group is too broad — containing keywords with different intents that cannot all be served by a single ad — or that your ad copy fails to address the specific need expressed in the keyword.

The tight ad group principle

The most reliable way to maintain high ad relevance is to keep ad groups tightly themed — each ad group contains keywords that represent the same specific concept or intent, served by ad copy specifically written for that concept. An ad group containing "running shoes", "trail running shoes", "road running shoes", and "waterproof running shoes" will have poor ad relevance for some terms because no single ad can be equally relevant to all four.

Better structure: separate ad groups for each specific theme, each with ad copy tailored to that intent. The running shoes example becomes four ad groups, each with headlines specifically addressing that shoe category.

Dynamic Keyword Insertion

Dynamic Keyword Insertion (DKI) automatically inserts the keyword that triggered your ad into your ad copy. This can improve ad relevance scores because the ad literally contains the search term. Use with caution — DKI can produce awkward headlines if not tested across all keywords in the ad group, and it does not substitute for genuinely relevant ad copy.

Landing page experience assesses how relevant, transparent, and user-friendly your landing page is for users who click your ad. It is the Quality Score component most directly connected to user experience after the click — not just ad performance. Google's assessment criteria:

• Content relevance. Does the landing page content closely match the ad and keyword that brought the user there? A user clicking an ad for "red running shoes" who lands on a general "athletic footwear" category page encounters a content mismatch.
• Page load speed. Google directly measures landing page speed as part of this assessment. Slow pages reduce landing page experience scores. This connects Quality Score to Core Web Vitals — improving LCP and TTFB improves landing page experience.
• Mobile usability. Given that the majority of Google searches now come from mobile devices, a page with poor mobile usability receives a low landing page experience score.
• Transparency. Pages that clearly communicate what the business is, what it sells, and how users can contact it score better than pages with hidden ownership, unclear pricing, or excessive advertising relative to content.
• Ease of navigation. Users should be able to find what they were searching for quickly. Landing pages that make users hunt through multiple pages to find the relevant information score lower.

The financial impact of Quality Score is significant and quantifiable. Because actual CPC is calculated as (competitor's Ad Rank ÷ your Quality Score) + $0.01, a higher Quality Score directly reduces the price paid for the same auction position.

These are approximate relationships — actual CPC also depends on competitor behaviour. But the direction is consistent: improving Quality Score from 5 to 8 on a keyword spending $10,000/month could reduce that spend to $7,500 for the same volume of clicks — a $2,500/month saving with no change in traffic.

• Quality Score is not a performance metric — it is a diagnostic metric. Optimising directly for Quality Score rather than for conversions and ROAS can lead to wrong decisions. The goal is profitable clicks, not perfect scores.
• A Quality Score of 7 is not "bad". Average (5–6) and good (7+) scores indicate competitive quality. Chasing 10s for every keyword is not necessary — focus improvement efforts on below-average components and high-spend keywords.
• Pausing low-Quality Score keywords improves account average but not individual keyword performance. If a keyword is driving profitable conversions despite a Quality Score of 4, the profitable conversion is more important than the score. Pause it only if the low QS is causing unsustainably high CPCs.
• Quality Score changes slowly. It reflects historical performance patterns. A single new high-CTR ad does not immediately change Quality Score — sustained performance improvement over time shifts the score.

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