Google Ads Quality Score is a summary metric, expressed on a scale from 1 to 10, that Google assigns to each keyword of an ad. It is not a purely technical value, but an estimate that combines three components: expected click-through rate, ad relevance and landing page quality. Its purpose is to help advertisers understand how useful and relevant their ad is to people searching.
A high Quality Score can reduce cost per click and improve ad position, while a low score tends to penalize visibility and increase spend. For this reason, optimizing this metric is one of the fundamental activities in managing a Google Ads campaign. Understanding how it works allows you to make more informed decisions about keywords, ad copy and landing pages.
What Quality Score measures
Quality Score is calculated by Google by combining several signals collected both before and after the ad is published. The scale goes from 1 to 10: values 1, 2 and 3 indicate a below-average score, 4, 5 and 6 are average, while 7, 8, 9 and 10 are above average. The score is not visible for all keywords and is not shown when the impression volume is too low to provide reliable data.
It is important to emphasize that Quality Score is not a factor that alone determines the ad auction. Google describes it as a diagnostic estimate, useful for identifying areas for improvement, but not as a value that automatically guarantees a competitive advantage. The auction also takes into account the bid, the search context and other factors.
The three components of the score
The score is based on three main elements, each of which contributes to the overall evaluation. Analyzing them separately helps you understand where to intervene to improve the result.
Expected click-through rate
Expected click-through rate estimates the likelihood that a user will click on the ad after seeing it. Google calculates it by comparing similar ads with similar keywords and considering the position, device and search context. An ad with compelling and relevant copy tends to have a higher expected click-through rate.
Ad relevance
Ad relevance measures how consistent the ad copy is with the searched keyword and the user’s intent. If the ad contains the keyword and offers a message in line with the search, relevance is higher. Generic or misleading ads reduce this value.
Landing page quality
Landing page quality evaluates the experience the user finds after clicking. Google considers the relevance of the content, the transparency of information, ease of navigation and loading speed. A clear, useful page that is consistent with the ad contributes to a better score.
How to interpret the score
Interpreting Quality Score correctly requires looking beyond the single number. A value of 7 or higher generally indicates good alignment between keyword, ad and page. Values below 4, on the other hand, signal that one or more elements are not working as they should.
It is useful to compare the score with its components: if the expected click-through rate is low, you may need to revise the ad copy; if the landing page quality is poor, you need to work on content and speed. The score should be read as a diagnostic guide, not as an absolute judgment.
| Score | Rating | Possible cause | Recommended action |
|---|---|---|---|
| 1 – 3 | Below average | Irrelevant ad or poor page | Rewrite ads and improve the page |
| 4 – 6 | Average | Partially aligned elements | Optimize copy and keywords |
| 7 – 8 | Above average | Good consistency between elements | Maintain and test variants |
| 9 – 10 | Much above average | Strong relevance and effective page | Monitor and scale results |
Strategies to improve the score
Improving Quality Score means working on multiple fronts at the same time. There is no single decisive action, but a series of coordinated interventions on keywords, ads and landing pages. Below are the most common and reliable practices.
- Group keywords into tightly themed ad groups, so that each group shares a consistent message.
- Include the main keyword in the headline and ad text, without unnatural forcing.
- Write clear ads with an explicit call to action and language close to that of users.
- Create dedicated landing pages that reflect the ad’s promise.
- Optimize page loading speed by reducing heavy elements and improving structure.
- Ensure the page is easily navigable on mobile devices as well.
- Test multiple ad variants to see which perform better.
- Remove or pause keywords with very low scores and poor performance.
Common mistakes to avoid
Many advertisers worsen their score without realizing it. A frequent mistake is directing all keywords to the site’s homepage instead of creating specific pages. Another is using generic copy that does not contain the searched term, reducing perceived relevance.
Neglecting the mobile version of the landing page can also lower overall quality, since a significant share of searches happens on smartphones. Finally, focusing only on the score without considering conversions leads to self-serving optimizations that do not improve business results.
Frequently asked questions
Does Quality Score affect cost per click?
Yes, a higher score can reduce cost per click, because Google rewards ads deemed more useful to users. A low score tends instead to increase the spend needed to gain visibility.
What factors determine the score?
It depends on three components: expected click-through rate, ad relevance and landing page quality. Each contributes to the final evaluation on the 1 to 10 scale.
Why do some keywords not show the score?
Google shows the score only when the keyword has collected a sufficient number of impressions. With volumes too low, the data is not reliable, so the value is omitted.
Does a low score prevent the ad from being published?
No, a low score does not block publication. However, it can make the ad less competitive and more expensive, reducing campaign effectiveness.
How long does it take to improve the score?
Timing varies based on traffic volume and the changes made. After optimizing ads and pages, Google updates the estimate gradually as it collects new performance data.
Is the score the same for all keywords?
No, each keyword receives a distinct score because it depends on the specific context in which the ad is shown. Different keywords within the same campaign can have different ratings.
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