Google Ads Quality Score: What It Means and How to Use It

Google Ads Quality Score is a keyword-level diagnostic score from 1 to 10 that estimates how an ad and landing page compare with other advertisers for the same search. It is built from expected clickthrough rate, ad relevance, and landing page experience. Google explicitly says Quality Score is not a key performance indicator and is not an input in the ad auction; use it as a clue about where ad, keyword, or landing-page relevance may need attention, not as the business outcome to maximize.

The score is useful when it helps answer a specific question: is the campaign’s message aligned with the keyword and the page, or is one component consistently below average? It becomes misleading when an account treats a 10/10 as a profitability target, averages scores across unrelated keywords, or assumes a higher number automatically means more conversions. Google’s current Quality Score documentation is the source of truth for the metric; this guide explains how to interpret it in an account.

What does Google Ads Quality Score measure?

Quality Score is a diagnostic view of the experience associated with a keyword. Google reports it at the keyword level on a 1–10 scale. A higher score means the ad and landing page are considered more relevant and useful for that keyword compared with other advertisers, based on the metric’s historical inputs.

The score is made from three components:

Each component is shown with a status such as Above average, Average, or Below average. Those statuses are more actionable than the headline number because they point toward different work. An ad-relevance issue may call for a tighter theme or more specific ad group. A landing-page issue may call for a better page or a clearer connection between the ad promise and the page. Expected CTR may prompt a review of the offer and message, but it should still be weighed against qualified traffic and conversions.

Quality Score does not directly measure profit, conversion quality, customer lifetime value, brand safety, or the complete quality of an account. A high score can coexist with a poor offer or a low-value conversion. A lower score can occur on a valuable, specialized query with limited history. The score is a diagnostic signal, not a business verdict.

How is Quality Score calculated?

Google says the three components are evaluated from a comparison with other advertisers whose ads showed for the exact same search over the previous 90 days. The score therefore reflects historical comparative performance, not only the current text in an ad or the current content on a page.

This has several practical consequences:

• the number is not a live audit of every page element;
• it can change as the account and competitive environment change;
• a recent edit may not be represented immediately;
• changing keyword match type alone does not necessarily reset or improve the score;
• the score should be interpreted with current performance and component statuses.

Google also notes that a broad match keyword may have a Quality Score even without its own impressions when a corresponding exact match keyword in the same ad group has recent exact-match impressions. The metric’s data model is more specific than simply asking whether that exact keyword received traffic. Check Google’s current documentation when a report appears counterintuitive.

Expected clickthrough rate

Expected CTR estimates how likely the ad is to be clicked when it is shown for the keyword. It is not the same as the account’s overall CTR, and it does not mean that a high click rate is automatically desirable. An ad can attract curiosity with a promise that does not lead to qualified customers.

Use a below-average expected CTR as a reason to inspect the query intent, offer, message, and competitive context. Ask whether the ad makes a clear promise to the person who searches and whether that promise is appropriate for the business. Compare the diagnostic status with actual CTR, qualified conversion rate, and downstream quality rather than replacing those metrics with the score.

Ad relevance

Ad relevance describes how closely the ad matches the intent behind the user’s search. If it is below average, a common structural issue is that one ad group contains keywords with different needs. The same ad may then be forced to speak vaguely to several audiences.

Improve the diagnosis by grouping related keywords around a meaningful theme, writing ad language that answers that theme, and checking the search terms that actually trigger the ads. Do not insert a keyword into every headline merely to chase a label. Relevance means the message should help the intended person understand the offer, not that the copy should be mechanically repetitive.

Landing page experience

Landing page experience describes how relevant and useful the destination is to people who click the ad. Google’s landing-page guidance describes usefulness, relevance, navigation, and whether the page meets the expectations created by the ad as relevant considerations.

When this component is below average, compare the exact query, ad promise, page heading, offer, qualification, form or next action, mobile experience, and destination behavior. A fast page that answers the wrong need is not a relevant page. A highly relevant page with a misleading ad promise also creates a poor experience.

Is Quality Score a ranking or auction metric?

No. Google says Quality Score is a diagnostic tool and is not an input in the ad auction. Do not tell a client that moving a keyword from 6 to 9 directly buys a better position or lower cost. The live auction uses its own ad-quality and relevance assessments alongside bid and context; the displayed Quality Score is a historical diagnostic that can help identify areas worth improving.

This distinction prevents two opposite mistakes. First, an account should not ignore a consistent below-average component when it points to a poor user experience. Second, the account should not make every decision solely to raise the number while sacrificing a relevant offer, qualified conversions, margin, or a necessary query boundary.

Quality Score is also different from Optimization score. Optimization score provides a broader account and campaign recommendation view, while Quality Score describes keyword-level ad and landing-page relevance. Neither replaces performance reporting or the business’s actual objective. Google’s Optimization score guidance explains the distinction.

How do you check Quality Score in Google Ads?

Google exposes the metric and its component statuses in the keyword reporting table. The current path described in Google Ads Help is:

1. Open the Campaigns area and go to Keywords.
2. Select the columns icon in the upper-right of the table.
3. Open the Quality Score section under the keyword columns.
4. Add Quality Score, Landing Page Exp., Exp. CTR, and Ad Relevance.
5. Add historical versions when you need to compare the score or component statuses over time.
6. Apply the columns and segment by day when a daily view is useful.

The interface can change, so use Google’s current instructions for checking Quality Score if the labels or navigation differ. A dash usually means Google does not have enough qualifying search activity to determine the score. Treat a dash as missing diagnostic data, not as a zero.

Read the components before the headline number

Create a review table that includes the keyword, match type, current score, component statuses, impressions, clicks, actual CTR, conversion rate, qualified conversion or value, landing page, ad group, and recent changes. Then sort the work by business importance and the component you can plausibly affect.

Do not average Quality Scores across keywords and call the result an account score. The metric is designed for keyword-level diagnosis, and an unweighted average can hide the difference between a high-volume commercial term and a low-volume experimental term.

How can you improve a low Quality Score?

Start with the component marked Average or Below average and investigate the underlying experience. Google’s Quality Score improvement guide recommends reviewing the components, making ads more relevant to keywords, improving clickthrough rate, considering landing-page updates, and using Quality Score with other metrics.

Improve ad relevance with coherent themes

If ad relevance is below average, inspect whether the ad group combines different search intents. Split themes when one ad cannot make a specific, honest promise to all the keywords. Rewrite the ad to reflect the customer’s need, service, qualification, and next step.

Avoid keyword stuffing. A keyword can appear in ad text and still be irrelevant if the offer answers a different question. Test the message against real search terms and the landing page a person sees after the click.

Improve expected CTR with a useful promise

Expected CTR is a reason to review how the ad appears for the intended search. Make the value proposition clear, distinguish the offer where appropriate, and set an expectation the page can meet. A higher click rate achieved by a vague or sensational promise can produce more unqualified traffic, so compare actual CTR with conversion quality and downstream outcomes.

The account cannot control every competitive factor or every auction. Focus on the wording, offer, relevance, and query themes the team can change, and do not make unsupported promises about a guaranteed score increase.

Improve landing page experience by closing the message gap

Make the page answer the search and the ad without forcing the person to reconstruct what the offer is. Check the heading, explanation, proof, price or qualification context, form or action, navigation, mobile layout, and destination behavior. Remove unnecessary friction, but do not remove information the visitor needs to make a good decision.

If several keywords with different intent point to one generic page, either improve the page for the shared theme or route the keywords to more relevant destinations. A page-level redesign is not automatically justified by one low score; use query, conversion, and user evidence to size the work.

A responsible Quality Score workflow

Use this sequence when a component stays below average:

1. Identify the high-value keyword or theme rather than chasing every low number.
2. Record the current score, components, search terms, ad, page, and qualified outcome.
3. State the suspected cause: mixed theme, weak promise, page mismatch, or another issue.
4. Make the smallest change that addresses that cause.
5. Validate that the ad and page still make an honest, useful promise.
6. Review actual CTR, conversion quality, cost, and business value alongside the diagnostic status.
7. Keep, revise, or roll back based on the original objective.

This workflow keeps Quality Score in its proper role. It helps prioritize relevance work, but it does not establish a universal threshold or prove that a change caused a business improvement. The evidence needed depends on the keyword’s traffic, conversion lag, competitive context, and the size of the change.

Common Quality Score mistakes

Treating 10/10 as the objective

A perfect diagnostic number does not prove that the campaign is profitable, that the traffic is qualified, or that the business should increase budget. Set the primary objective in terms of conversions, value, margin, qualified pipeline, or another outcome the owner accepts. Use Quality Score to locate relevance work that supports that objective.

Making decisions from the headline number alone

Two keywords can have the same score while needing completely different actions. Read the component statuses, search terms, ad, landing page, actual performance, and business context before changing anything.

Averaging scores across an account

An account-wide average hides volume, intent, seasonality, and strategic importance. Review keywords and coherent themes individually. If a summary is necessary, report it as a descriptive view and do not treat it as a Google Ads performance KPI.

Assuming a match-type change fixes Quality Score

Google says the score is based on historical impressions for exact searches of a keyword, and changing match types does not itself change the underlying quality diagnosis. If the query theme changes, review the new evidence and page alignment; do not rename the keyword and expect the score to become a different metric.

Rewriting the ad without checking the page

An ad may become more clickable while creating a larger promise gap. Every copy change should be checked against the landing page, qualification, price or availability, and conversion path. Improving the visible number at the cost of user trust is not a successful optimization.

Ignoring low-volume or missing data

A dash indicates that Google cannot determine a score from sufficient qualifying search activity. Do not manufacture a conclusion from missing data. Use actual query, ad, page, and conversion evidence, and wait for the metric to become available only when that evidence is necessary for the decision.

Quality Score review checklist

Before making a change, capture:

• the keyword, match type, ad group, campaign, and landing page;
• current Quality Score and each component status;
• search terms and the intent they represent;
• actual CTR, conversion rate, qualified outcome, and value where available;
• the ad’s promise and the corresponding page experience;
• recent changes to bids, budget, targeting, conversion actions, and pages;
• the specific hypothesis the proposed change will test;
• the business metric that will decide whether the change stays.

After the change, record what happened to the diagnostic components and the business result separately. A component improvement is evidence about relevance; it is not proof of causation for a change in revenue or profitability.

Practical next steps

Use Google Ads Quality Score as a keyword-level diagnostic. Start with the component status, inspect the real search and page experience, make the smallest relevant improvement, and judge the result with CTR, conversions, qualified quality, cost, and value. Keep the 1–10 score in perspective: it helps explain possible relevance issues, but it is not a KPI, not an auction input, and not a substitute for a business outcome.

For related setup work, see Google Ads match types and Google Ads conversion tracking. If you need a broader account review, the free Google Ads audit for agencies can help with the checks it currently supports; it does not promise to raise Quality Score or change campaigns automatically.