Google Ads guide

Best Google Ads Quality Score Settings for Search Campaigns

The best Google Ads Quality Score settings are the reporting and account choices that help you diagnose keyword-level ad quality: visible Quality Score, expected clickthrough rate, ad relevance, landing page experience, and their historical versions. Quality Score itself is not a campaign switch or a direct performance target. It is a 1–10 diagnostic that can point you toward better keyword-to-ad-to-page alignment.

Use the score to find useful questions, then answer them with real business metrics. A higher diagnostic number does not automatically mean more profit, and a perfect score is not required for every keyword. The useful setting is the one that helps you improve relevant traffic, conversion quality, and the experience a searcher receives after the click.

1. Understand what Quality Score can and cannot tell you

Quality Score is reported at the keyword level on a 1–10 scale. Google calculates it from three diagnostic components: expected clickthrough rate, ad relevance, and landing page experience. Each component is shown as Above average, Average, or Below average. The comparison uses eligible historical impressions for the same searches and other advertisers, so the score is a relative diagnostic rather than a fixed grade for your whole account.

Do not treat it as a KPI, a bid input, or an auction score that Google reads directly when deciding whether your ad wins. Auction-time ad quality and Ad Rank use more context, including the search, device, location, competition, and landing-page experience. There is no meaningful campaign-level or account- level Quality Score to maximize, and changing a keyword’s match type does not magically improve its historical diagnostic.

Use Google’s Quality Score overview to distinguish the number in the table from the quality signals used at auction time. That distinction prevents a common mistake: rewriting relevant ads or narrowing useful coverage only to make a column look better while conversions and profit get worse.

2. Turn on the diagnostic columns you actually need

In the Google Ads keyword table, open the columns menu and add Quality Score, Landing Page Experience, Expected CTR, and Ad Relevance. Add the historical versions when you need to see whether a change has moved the diagnostic over time. Segment the table by day if you need to understand when the status changed, but avoid reading a single day as a verdict on a keyword with little traffic.

Pair those columns with impressions, clicks, cost, conversions, conversion rate, search terms, and the business metric used to judge the campaign. A Below average component on a keyword that never receives meaningful demand may be less important than an Average component on a high-spend keyword that drives valuable sales. Use filters to find candidates, then inspect context before making a structural change.

Google’s Quality Score reporting instructions show the current column path and the historical fields. Save a view or report that an analyst can repeat each review. Consistent diagnostics are more useful than changing columns every time the account has a different concern.

3. Organize keywords by the intent one ad can answer

Ad relevance improves when an ad group contains a coherent theme and its ad can address the searches without becoming vague. Group terms by the problem, product, service, or stage of intent that the same landing page and message can satisfy. A group that mixes emergency repairs, annual maintenance, and product research may have keywords that are individually relevant to the business but impossible to answer well in one ad.

Split a group when the search intent, promise, call to action, or landing page really changes. Keep terms together when splitting would only create tiny groups with the same ads and page. Google states that account structure alone does not determine Quality Score; a structural change matters when it changes the user experience, the ad text, or the page a searcher receives.

Use the search terms report to compare the language people actually used with the keyword and ad-group theme. Add relevant themes where the offer truly fits, and exclude irrelevant terms when they bring unqualified traffic. Do not stuff keywords into every headline or create artificial variants solely to repeat a phrase. The goal is an answer that makes sense to a person, not a table that contains the same word as often as possible. See Google’s Quality Score improvement guidance for the current recommendations on themes and ad-group relevance.

4. Improve expected CTR with a truthful, specific offer

Expected CTR asks whether people are likely to click an ad when it shows for the keyword. Improve it by making the message useful and specific: reflect the searcher’s problem, explain a meaningful benefit, show a credible difference, and give a next step that matches the landing page. A generic ad for a very specific query often loses attention even when the keyword itself is appropriate.

Review CTR in context rather than using one universal benchmark. Brand and non-brand queries, devices, locations, competition, seasonality, and search intent all change the expected response. Compare related themes and periods, then read the search terms before changing an ad. A high CTR built on a vague or exaggerated promise can lower conversion quality, so judge clicks together with qualified conversions, cost, and revenue.

Give the system several relevant ways to express the offer, but review the combinations for contradictions and repeated claims. Do not use urgency, pricing, guarantees, or superlatives that the business cannot support. Google’s CTR definition and guidance and Quality Score recommendations both point back to relevance between the user’s search and the ad’s promise.

5. Improve landing page experience after the click

Send each keyword theme to a page that fulfills the ad’s promise quickly. The headline, offer, price or qualification, proof, and next action should make sense as a continuation of the search. A homepage may be relevant to the business but still be a weak destination for a specific product, repair, or service query.

Check the page on the devices and locations that generate meaningful traffic. Make the main information easy to find, keep navigation understandable, test forms and phone links, and remove redirects or errors that interrupt the journey. The page should provide useful information even when the visitor is not ready to convert immediately. Make sure measurement and consent handling do not prevent the intended conversion from being recorded.

When Landing Page Experience is Average or Below average, diagnose the page and the keyword-to-page match rather than adding more keywords to the ad. Different intents may need different pages, while closely related queries may share one strong destination. Use the Google Quality Score improvement guide together with conversion rate, engagement, qualified outcomes, and revenue. Improving a diagnostic status is useful only when the visitor’s experience and business result improve with it.

6. Avoid settings and tactics that chase the number

Do not pause a keyword solely because its Quality Score is low. First check its actual conversions, margin, strategic value, search terms, and volume. A valuable term with a Below average component may deserve a better ad or page; an irrelevant term with a high score may still waste money. Prioritize changes where the business can affect both the user experience and the result.

Do not raise bids just to improve Quality Score, force a keyword into a higher position, or repeat a keyword unnaturally across every asset. Google normalizes expected CTR for position and context, and the account’s organization alone is not a quality signal. Match type changes do not repair an ad or landing page; they change which searches can trigger it and should be evaluated with actual traffic quality.

Treat a dash or missing score as a data state, not a failing grade. There may not be enough matching searches to calculate a diagnostic, or the keyword may be new. Give it an appropriate observation period, monitor delivery and conversions, and avoid rebuilding the account around a column that has little evidence. Google’s guide to what matters for ad quality explains why auction-time signals and business metrics should remain the focus.

7. Use Quality Score in a repeatable review

Run the review in a fixed order. First filter for high-spend or strategically important keywords. Next identify the weakest component and read the search terms, ad, landing page, device mix, and conversion outcome. Choose one useful change, record the date and expected effect, and let enough relevant traffic accumulate before deciding whether it helped. If the component improves but qualified conversions decline, keep the business result as the deciding evidence.

Before closing the review, confirm that:

  1. Quality Score is being used as a keyword diagnostic, not a KPI or target.
  2. The three component columns and any needed historical columns are visible.
  3. Keywords, ads, and landing pages answer the same search intent.
  4. CTR improvements are measured with conversion quality and value.
  5. Low scores, missing scores, and high scores are interpreted with enough data and context.
  6. Changes are prioritized by spend, opportunity, and customer experience.

This approach keeps the account focused on relevant searches and useful pages instead of making the dashboard number the product. For a broader account review, see the adz.so product overview, and verify the live workflow before assuming a specific Quality Score audit or recommendation is available.