Google Ads Quality Score is a keyword-level diagnostic that rates the quality and relevance of your ads and landing pages on a scale of 1 to 10. It directly influences how much you pay per click and whether your ads show at all. In 2026, Quality Score remains one of the most misunderstood and underoptimized levers in paid search. This guide breaks down exactly how to diagnose low Quality Scores in Google Ads, fix every component dragging your numbers down, and translate those improvements into meaningfully lower CPCs across your account.
Despite years of automation advances, including Performance Max, AI Max, and Smart Bidding, Google still uses Quality Score as a core input in the ad auction. If your scores are low, you are overpaying for every click. If they are high, you are getting a structural discount that compounds with every dollar you spend.
Quality Score is Google's estimate of the quality of your ads, keywords, and landing pages. It is calculated each time your keyword enters an auction and is reported as a number from 1 to 10 in the Google Ads interface. A higher Quality Score means Google considers your ad more relevant and useful to the searcher, which translates directly into lower costs and better ad positions.
Even with the expansion of AI-driven campaign types, Quality Score still matters because it feeds into Ad Rank, the formula that determines where your ad appears and what you actually pay per click. Google has not retired Quality Score, and there is no indication it will. It remains the closest thing advertisers have to a transparency mechanism inside the auction.
Google breaks Quality Score into three sub-components, each rated as "Below Average," "Average," or "Above Average":
Expected CTR measures how likely your ad is to be clicked when shown for a given keyword, based on historical performance data and adjusted for ad position.
Ad Relevance evaluates how closely your ad copy matches the intent behind the keyword. If someone searches for "emergency plumber near me" and your ad talks about general home renovation, ad relevance will suffer.
Landing Page Experience assesses whether your landing page delivers what the ad promises, loads quickly, works well on mobile, and provides a good user experience.
Each component is evaluated independently. You can have a perfect landing page experience but a below-average expected CTR, which will still drag your overall score down.
Ad Rank is calculated using your bid, your Quality Score components, the expected impact of ad extensions, and auction-time context signals. The critical implication: a higher Quality Score reduces the CPC you need to achieve any given ad position. Two advertisers bidding the same amount for the same keyword will pay different amounts per click based on their Quality Scores. The advertiser with a Quality Score of 8 could pay significantly less than the one sitting at 4, even while appearing in a higher position.
This is not a marginal difference. For accounts spending tens or hundreds of thousands of dollars per month, the gap between a Quality Score of 3 and a Quality Score of 7 across high-volume keywords can mean tens of thousands in wasted spend. For a deeper look at how these cost dynamics play out across industries, see our breakdown of Google Ads benchmarks by industry in 2026.
One of the most persistent misunderstandings is treating Quality Score as something you can directly manipulate. You cannot. Quality Score is a diagnostic tool that reflects the underlying quality of your keywords, ads, and landing pages. You improve Quality Score by improving those underlying elements, not by chasing the number itself.
This distinction matters because it changes how you allocate effort. Rather than obsessing over the 1-to-10 number, focus on the three sub-components. The number follows the fixes, not the other way around.
Diagnosing a low Quality Score in Google Ads starts with making the right data visible and then systematically identifying which component is responsible for the drag on each keyword.
Quality Score data is available at the keyword level in Google Ads. Navigate to your Keywords tab, then click "Columns" and add the following: Quality Score, Expected CTR, Ad Relevance, and Landing Page Experience. You can also add historical Quality Score columns to track changes over time.
A score of 7 or above is generally strong. Scores of 5 or 6 are average and usually worth investigating. Anything below 5 is actively costing you money through inflated CPCs and reduced impression share.
Not all low-scoring keywords matter equally. Prioritize your audit by focusing on keywords that combine low Quality Scores with high spend or high impression volume. A keyword with a Quality Score of 3 that only triggers a handful of impressions per month is far less urgent than a keyword with a Quality Score of 4 that accounts for 30% of your monthly spend.
Sort your keyword list by cost descending, then scan for any keyword with a Quality Score below 6. These are your highest-impact optimization targets.
A structured audit follows this sequence:
Step 1: Export all keywords with Quality Score, the three sub-components, cost, clicks, impressions, and conversion data.
Step 2: Flag every keyword below Quality Score 6.
Step 3: For each flagged keyword, identify which sub-component is "Below Average." This tells you exactly where to focus.
Step 4: Group keywords by their failing component. You will likely find clusters: a batch of keywords with poor expected CTR, another batch with weak landing page experience, etc.
Step 5: Prioritize fixes by spend impact and address each component cluster with the strategies outlined below.
This is the kind of systematic, account-wide audit that often gets skipped when agencies or freelancers are managing too many accounts at once. At groas, every new client receives a full hands-on audit within 24 hours of onboarding, performed by a dedicated account manager who identifies exactly which Quality Score issues are costing you money and builds a custom roadmap to fix them.
Expected CTR is the component most directly tied to ad copy quality. Google predicts how likely users are to click your ad based on historical CTR data for that keyword, normalized for position. Below-average expected CTR means your ads are underperforming relative to competitors for the same queries.
Responsive Search Ads give Google up to 15 headlines and 4 descriptions to test, but not all combinations perform equally. To improve expected CTR:
Pin your strongest headline to Position 1. Google's automation tests broadly, but if you have a headline with a clear value proposition or strong call to action, pinning it ensures it appears in the most visible spot.
Include the target keyword in at least 3 headlines. This improves both relevance signals and visual match for the searcher.
Write distinct headlines, not variations of the same message. Headlines like "Best Plumber in Austin," "Top-Rated Austin Plumber," and "Austin's #1 Plumber" are all saying the same thing. Instead, vary the angle: one on price, one on speed, one on reviews, one on specific services.
Use numbers and specifics. "Same-Day Service" outperforms "Fast Service." "4.9-Star Rating" outperforms "Highly Rated."
Ad extensions (now called assets) increase the visual footprint of your ad and provide additional click targets. Google has confirmed that expected impact of extensions factors into Ad Rank. The extensions most likely to improve CTR include:
Sitelinks with descriptive text that preview landing page content. Callout extensions highlighting unique selling points like free shipping, no contracts, or 24/7 support. Structured snippets that list product categories, service types, or brands. Call extensions for mobile-heavy audiences.
Use all relevant extension types. Partial coverage means you are leaving CTR and Ad Rank gains on the table.
The most common cause of below-average expected CTR is a mismatch between what the searcher wants and what your ad promises. A keyword like "affordable CRM for small business" paired with ad copy focused on "enterprise-grade CRM platform" will underperform because the message does not match the intent.
Map your keywords to intent buckets (informational, commercial, transactional) and write ad copy that speaks directly to each. This is also where tight keyword grouping, covered in the next section, becomes essential.
Ad relevance measures how well your ad matches the intent of the keyword. If Google determines that your ad copy does not closely align with the search query, your ad relevance rating drops and your Quality Score suffers.
The most reliable way to improve ad relevance is to structure your ad groups around tightly related keyword themes. Single Keyword Ad Groups (SKAGs) were the gold standard for years, but in 2026 with broad match expansion and RSA-only formats, the practical approach is Single Theme Ad Groups (STAGs).
A STAG groups keywords that share the same intent and can be served by the same set of ad headlines and descriptions without sacrificing relevance. For example, "water heater repair" and "fix broken water heater" belong in the same ad group. But "water heater repair" and "water heater installation" should be separate because the intent and ideal messaging differ.
Dynamic Keyword Insertion (DKI) automatically inserts the user's search query into your ad headline. It can improve ad relevance for tightly themed ad groups where the inserted keyword naturally fits the ad copy.
However, DKI hurts when ad groups contain loosely related keywords. If your ad group has both "cheap running shoes" and "premium athletic footwear," DKI will produce awkward, inconsistent ads. Use DKI only in ad groups where every keyword makes grammatical and logical sense when inserted into your headline template.
Google's AI Max for Search, which dynamically expands keyword matching and can generate ad components, adds a new layer of complexity to ad relevance. When AI Max rewrites or extends your ad copy to match broader queries, the relevance signal can shift in unpredictable ways.
For a deeper look at how AI Max and other automation layers interact, see our guide on the three layers of AI in Google Ads in 2026. The key takeaway: monitor which queries AI Max is matching to and whether your ad relevance ratings change after enabling it. If scores drop, tighter controls or exclusions may be needed.
This is one area where continuous monitoring matters enormously. groas AI agents track Quality Score sub-components around the clock, flagging shifts in ad relevance as they happen rather than waiting for a weekly or monthly review. Your dedicated account manager then decides whether to adjust ad group structure, restrict AI Max behavior, or refine ad copy, all without requiring any action from your side.
Landing page experience evaluates the post-click experience. Google's systems assess whether your landing page is relevant to the ad and keyword, loads quickly, functions well on mobile, and provides genuine value to the visitor.
Google has never published an exact speed threshold for Quality Score, but the consensus among experienced practitioners is clear: pages loading in under 3 seconds on mobile are generally safe, while pages taking more than 5 seconds face penalties in both Quality Score and user behavior (higher bounce rates, lower conversion rates).
Use Google's PageSpeed Insights to benchmark your landing pages. Focus on Largest Contentful Paint (LCP) and Interaction to Next Paint (INP) as the metrics most correlated with user experience.
If your ad promises "50% off first month" and your landing page makes no mention of that offer, your landing page experience will suffer. Message match means the headline, offer, and core value proposition in your ad should be immediately visible on the landing page without scrolling.
This applies to intent match as well. If someone clicks on an ad for "emergency AC repair," they should land on a page about emergency AC repair, not your general HVAC services page.
Google's systems evaluate landing pages using automated crawlers similar to those used for organic search. Key factors include:
Content relevance to the ad and keyword. Navigation clarity so users can find what they need. Transparency about your business, pricing, and contact information. Minimal intrusive interstitials like pop-ups that block content on mobile. Original, substantive content rather than thin affiliate pages or doorway pages.
With mobile traffic continuing to dominate most verticals, mobile landing page experience is non-negotiable. Core Web Vitals (LCP, INP, CLS) directly influence Google's assessment of your landing page. Pages that pass Core Web Vitals thresholds consistently see better landing page experience ratings.
Ensure your landing pages are fully responsive, that tap targets are properly sized, and that no content shifts unexpectedly during load. These are basics, but a surprising number of high-spend advertisers still fail them.
Quality Score is not an abstract metric. It has direct, measurable financial consequences that scale with your spend.
Google's auction mechanics create a multiplier effect. Keywords with a Quality Score of 7 typically see CPCs well below the average for their competitive set, while keywords with a Quality Score of 3 can see CPCs far above average. The exact magnitude depends on auction dynamics, but the direction is always the same: higher Quality Score means lower cost per click for equivalent positions.
For an account spending $50,000 per month, the difference between average Quality Scores of 4 and 7 across high-volume keywords can easily represent thousands of dollars in savings, or thousands of dollars in waste, depending on which side you are on. For context on how much Google Ads typically costs across industries, see our complete cost breakdown for 2026.
The economics compound. When your CPCs drop because of higher Quality Scores, the same budget buys more clicks. More clicks mean more conversion data. More conversion data means Google's Smart Bidding algorithms learn faster and bid more efficiently. This creates a positive feedback loop where Quality Score improvements unlock better performance across the entire account.
This is exactly why Quality Score optimization cannot be a one-time project. It requires ongoing monitoring, testing, and adjustment as competitors change their ads, Google updates its algorithms, and your own landing pages evolve. The accounts that maintain high Quality Scores over time are the ones with consistent, disciplined management.
Most Quality Score problems persist because nobody is watching closely enough. Agencies review accounts weekly or biweekly. Freelancers check in a few times a week at best. In-house teams get pulled into other projects. Quality Score degrades slowly, CPCs creep up, and by the time someone notices, the damage has compounded for months.
This is the exact gap that groas fills. groas is a full-service Google Ads management service where AI agents monitor and optimize campaigns 24/7, while a dedicated human account manager owns your strategy and oversees every decision. When a keyword's expected CTR drops from "Average" to "Below Average," groas catches it in real time, not during a monthly report. When a landing page slows down after a site update, the issue is flagged immediately.
Your dedicated account manager at groas performs the kind of structured Quality Score audit described above during onboarding and then ensures those improvements are maintained continuously. Ad copy is tested and refined. Ad group structures are kept tight. Landing page changes are monitored for their impact on Quality Score sub-components. Bi-weekly strategy calls keep you informed, but zero work is required from your side.
Compared to managing Quality Score yourself with self-serve tools like WordStream or Optmyzr, which give you dashboards and recommendations but still require you to do all the implementation, groas handles everything from diagnosis to execution. Compared to an agency where a junior account manager juggles dozens of clients, groas provides the combination of always-on AI monitoring and a dedicated senior strategist who actually knows your account. For a detailed comparison of these alternatives, see our guide on freelancer vs. agency vs. autonomous management.
Quality Score optimization is not glamorous work. It is systematic, detail-oriented, and requires constant attention. That is precisely why it is the kind of work that benefits most from autonomous management backed by human strategic oversight. If your Quality Scores are costing you money and nobody on your team has the bandwidth to fix them, groas is built for exactly this problem.
A Quality Score of 7 or above is generally considered strong and indicates that your ads, keywords, and landing pages are well-aligned with searcher intent. Scores of 5 or 6 are average and worth investigating for improvement opportunities. Anything below 5 is actively inflating your CPCs and should be prioritized for optimization. The ideal target depends on your industry and competition level, but consistently pushing high-volume keywords above 7 is where meaningful cost savings begin.
No. Quality Score is a diagnostic metric, not a setting you can adjust. You improve it indirectly by fixing the underlying factors it measures: expected CTR, ad relevance, and landing page experience. Focus on tightening ad group structure, writing more relevant ad copy, improving landing page speed and content match, and ensuring your ads speak directly to the keyword intent. The score follows these improvements.
Google recalculates Quality Score each time your keyword enters an auction, but the reported score in the interface updates less frequently and reflects a rolling assessment. This means changes you make to ads or landing pages may take days or even weeks to be reflected in your visible Quality Score. This is why continuous monitoring matters, and why groas uses AI agents that track sub-component shifts in real time rather than relying on periodic manual checks.
Performance Max campaigns do not display keyword-level Quality Scores because they do not use traditional keyword targeting. However, the same underlying signals (ad relevance, landing page quality, expected engagement) still influence how Google allocates impressions and determines costs within Performance Max. Optimizing your landing pages and creative assets for relevance and speed benefits all campaign types, including Performance Max.
The impact varies by keyword, industry, and competition level, but the direction is always consistent: higher Quality Scores result in lower CPCs for equivalent ad positions. For high-volume keywords in competitive verticals, moving from a Quality Score of 3 to 7 can reduce CPCs substantially enough to free up significant budget for additional volume. The savings compound over time as lower CPCs generate more clicks, more conversion data, and better Smart Bidding performance.
Start by identifying which of the three sub-components is rated "Below Average" for your lowest-scoring, highest-spend keywords. If expected CTR is the issue, focus on ad copy testing and extension coverage. If ad relevance is the problem, restructure your ad groups into tighter keyword themes. If landing page experience is dragging you down, address page speed and message match first. groas performs this exact audit within 24 hours of onboarding and builds a prioritized roadmap so fixes start delivering results as quickly as possible, with a dedicated account manager overseeing the entire process.
Broad match itself does not automatically hurt Quality Score, but it can lead to your ads showing for queries that do not closely match your ad copy or landing page, which can lower ad relevance and expected CTR ratings over time. The key is pairing broad match with strong negative keyword lists and tightly themed ad groups. Monitoring search term reports regularly is essential when using broad match to ensure relevance stays high.
No. Quality Score is one input into Ad Rank, but Ad Rank also factors in your bid amount, the expected impact of ad extensions, and auction-time context signals like device, location, and time of day. Quality Score is the component you have the most control over through optimization, which is why it deserves focused attention even though it is only one piece of the Ad Rank formula.
