Quality Score

Quality Score is a keyword-level diagnostic for Google Search campaigns. It estimates how closely an account’s keyword, ad, and landing page align with the experience likely to be delivered to a user, using a 1–10 scale. The score is shown in the Google Ads interface for eligible keywords and is intended to guide diagnosis rather than serve as a universal performance grade.

The measure is different from results such as conversions, return on ad spend, or cost per acquisition. A lower score does not automatically make a campaign unprofitable, while a high score does not guarantee strong commercial outcomes. Search volume, competition, bids, budget, offer quality, and conversion behavior can matter more to business performance.

Quality Score is also distinct from Ad Rank. Ad Rank is calculated for each auction and determines whether an ad can show, where it appears, and which assets may accompany it; the auction uses current, query-specific signals rather than simply importing the visible 1–10 score.

The visible score reflects three principal diagnostic components: expected click-through rate, ad relevance, and landing page experience.

• Expected CTR estimates how likely users are to click an ad when it is shown, while accounting for the keyword and other context. It is not the same as the campaign’s observed CTR in every reporting view.
• Ad relevance describes how closely the language and intent of an ad correspond to the user’s search and associated keyword. Tightly themed ad groups can make this relationship clearer, though simply repeating a keyword is not sufficient.
• Landing page experience concerns the usefulness and relevance of the destination after the click. Google’s guidance emphasizes content that matches the ad and query, is useful to visitors, is easy to navigate, and works effectively across devices.

These components can receive qualitative labels such as “Above average,” “Average,” or “Below average,” which often provide more actionable information than the overall number.

The most reliable improvements come from matching each search intent to a specific ad and a genuinely relevant destination. Google recommends organizing keywords into closely related groups, writing ads that address the expected need, and sending users to a landing page that fulfills the ad’s promise.

For expected CTR, advertisers can test clearer benefits, calls to action, and messaging that distinguishes the offer without making unsupported claims. For ad relevance, separating materially different intents—such as research, purchase, service, and brand searches—can prevent one generic ad from serving every query. For landing page experience, useful original content, transparent navigation, mobile usability, and a direct path to the promised information are central considerations.

Negative keywords, search-term reviews, and appropriate match-type management can also reduce irrelevant exposure. They may improve traffic quality even when they do not immediately change the displayed score, because Quality Score is based on eligible keyword and historical signals and can be slow to reflect recent changes.

Quality Score has several limits that are easy to overlook. It is reported for keywords rather than as a single authoritative score for an entire account, and a keyword may show no score when it has insufficient recent impressions or is otherwise not eligible for evaluation.

The score is also normalized against other ads competing for the same kinds of searches, so it should not be interpreted as a fixed laboratory rating. A score can change as user behavior, competitors, ads, queries, and landing pages change. Historical performance can influence some components, meaning a newly created campaign may initially provide little diagnostic information.

Most importantly, improving Quality Score is not the same as optimizing an auction. Google states that auction-time calculations use factors including the bid, ad quality at the moment of the auction, competitiveness, search context, and the expected effect of assets. Advertisers therefore get a better decision framework by using the score to locate relevance problems, then judging changes by qualified traffic, conversions, and economic return.

Ad Rank

A value used in each Google Ads auction to determine whether an ad can show, its position, and eligibility for associated assets.

Expected CTR

A diagnostic estimate of how likely an ad is to receive a click when shown for a keyword.

Ad relevance

The degree to which an ad’s language and intent correspond to a user’s search.

Landing page experience

An assessment of the usefulness, relevance, transparency, and usability of the page reached after an ad click.

Search terms

The actual words or phrases users entered before triggering an ad, as reported where Google provides the data.