Last updated: May 2026
Quality Score (QS) is Google's 1–10 rating of how relevant your keyword, ad, and landing page are to someone's search. It directly affects how much you pay per click and how competitive you are in the auction. Most managers either ignore it while it quietly drains budget, or chase a perfect score when their performance already shows it doesn't matter.
Two direct levers: your cost per click and your position in the auction.
The auction doesn't sell positions to the highest bidder. It rewards the most relevant advertiser. A $2 Max CPC at QS 10 can outrank a $3 Max CPC at QS 5, and the QS 10 advertiser pays less to do it. Over thousands of clicks, that gap compounds into real budget savings or real waste, depending on which side you're on.
Google doesn't publish the exact formula, but the calculation works like this: QS = Expected CTR + Ad Relevance + Landing Page Experience. Each component is rated Below Average, Average, or Above Average, with Expected CTR carrying the most weight. The visible 1–10 score is a diagnostic estimate; the actual auction-time score recalculates per query.
Ad Rank (simplified)
Actual CPC paid
| Scenario | Max CPC | QS | Ad Rank | Actual CPC Paid* |
|---|---|---|---|---|
| Unoptimized | $3.00 | 4 | 12 | $3.00 (full bid) |
| Average | $3.00 | 6 | 18 | $2.00 |
| Optimized | $3.00 | 8 | 24 | $1.50 |
| Highly optimized | $3.00 | 10 | 30 | $1.20 |
*Assumes competitor holds Ad Rank 12 at QS 6 / $2 bid. Actual CPC varies by auction.
Going from QS 4 to QS 8 on a $3 avg CPC keyword cuts your cost per click in half. That's not marginal. In legal or finance verticals where keywords run $20–$80, a 2-point QS improvement is worth more per month than most ad creative tests.
Each is rated Below Average / Average / Above Average. You see this breakdown in the Keyword view by hovering the speech bubble icon next to a keyword's QS.
Google predicts how often your ad will get clicked relative to other ads for that keyword, not just your historical CTR. It's calibrated to the market. A 3% CTR might be "Below Average" on a term where top advertisers pull 6%+.
Does your ad clearly match the keyword and intent? The bluntest signal: is the exact keyword (or a very close variant) in your headline? If you're bidding on "emergency plumber chicago" and your headline says "Fast Plumbing Services," you're at Average at best.
Does your page deliver on the ad's promise? Google estimates page speed, content relevance to the keyword, ease of navigation, and transparency (contact info, privacy policy). The most common failure: sending specific-intent searches to generic pages.
Quality Score behaves differently by vertical. Here's what "normal" looks like across common account types.
| Vertical | Keyword | Typical QS | Limiting Factor | What to Fix |
|---|---|---|---|---|
| Ecommerce | yoga mat | 5–6 | Generic head term, low Expected CTR, category page landing | Push spend to long-tail SKUs; specific product pages |
| Ecommerce | cork yoga mat non-slip 6mm | 8–9 | Naturally high intent match; product page is specific | Not much. This is the model to replicate. |
| Legal | personal injury lawyer | 5–6 | Saturated vertical, everyone runs similar ads; Expected CTR baseline is high | Differentiation in headlines (fee structure, response time, outcome stats) |
| Legal | car accident lawyer chicago | 7–8 | City-specific intent, page matches exactly | Ensure landing page says "Chicago" prominently and has local signals |
| Local Lead Gen | furnace repair near me | 7–8 | Local service, good CTR, callout extensions help | Confirm landing page has location, phone, and service match |
| Local Lead Gen | furnace repair | 5–6 | National advertisers pull Expected CTR baseline up; local ads don't always win CTR race | Lean on city-modifier variants; don't over-invest in this head term |
| Real Estate | homes for sale scottsdale az | 5–6 | Real estate ads have inherently low CTR. Users prefer organic and aggregator results. | Accept the structural ceiling; optimize landing page experience instead |
| Real Estate | sell my home scottsdale | 7–8 | High seller intent, less competition, specific page possible | Dedicated seller landing page with local proof points |
These are realistic ranges based on account behavior, not Google's documentation.
| Keyword Type | Realistic QS Range | Notes |
|---|---|---|
| Brand keywords | 8–10 | Inflated by high CTR. Searchers are already looking for you. Not a valid benchmark for non-brand campaigns. |
| Exact match non-brand, tight ad groups | 7–9 | Achievable with keyword-in-headline, specific landing page, and good historical CTR. |
| Phrase match non-brand | 5–7 | Normal range. Phrase match picks up variant queries where ad relevance is naturally weaker. |
| Competitive head terms ("lawyer," "insurance") | 4–6 | Everyone is fighting over these. Expected CTR ceiling is high because the best advertisers have massive CTR data advantages. Structural QS ceiling exists. |
| Competitor keywords | 3–6 | Landing page relevance is hard to achieve legitimately. Accept a low QS here. The economics work differently on competitor terms. |
| Low volume (<100 impressions) | — (dash) | Not enough data for a reliable score. Ignore these until they accumulate impressions. |
Things that trip up even experienced PPC managers.
Brand keywords have structurally inflated QS because the person searching typed your name. Of course they click your ad. Expected CTR is always high, ad relevance is easy, and the landing page is your homepage. Brand QS tells you nothing about whether your non-brand campaigns are efficient.
10/10 is most common on low-volume, long-tail, or branded terms. On a head term with 50,000 monthly searches, nobody gets 10/10 consistently. The Expected CTR calibration makes it statistically impossible for most advertisers. A 7 on a competitive term is a better result than a 10 on a keyword nobody searches.
QS can drop because of changes in your account, or because your competitors improved. Expected CTR is relative. If five new advertisers enter your auction and all have great ads, your relative score can drop without you changing anything. Always look at absolute CTR trends alongside QS.
QS on keywords with fewer than ~50–100 impressions is not statistically meaningful. It might be based on 3 auctions. Don't build optimization work around keywords that haven't accumulated real data.
Three platform shifts have changed how you should read the number in your account.
Visible QS is based on historical exact-match data. When a keyword runs on broad match, it covers a much wider query spectrum than the score accounts for. Low visible QS on a broad match keyword that's converting well isn't broken. It's measuring a narrower lens than the keyword is actually entering.
tCPA and tROAS use real-time auction signals far richer than visible QS. Accounts regularly hit ROAS targets while sitting at QS 4. The result is a confusing picture: red warnings across the keyword report while CPAs are on target. The two metrics are measuring different things.
The number in your interface is an aggregated estimate based on past data, not what's used in each auction. Google's actual auction-time Quality Score recalculates per query and isn't shown. A keyword at QS 5 in your dashboard may be evaluated differently depending on the specific search query it matches.
There are situations where chasing QS improvements is the wrong use of time.
Work on each component directly. These are the mistakes that drag scores down. Fixing them is how you improve. Use the Quality Score & Ad Rank Simulator to model the CPC and position impact of a QS improvement before starting structural work.
The single most common landing page experience failure. "Workers comp attorney chicago" landing on a "Practice Areas" page that lists 10 specialties is a relevance miss. Build or dedicate specific pages to your highest-value keyword themes.
If one RSA needs to be relevant to "yoga mat," "yoga mat thick," "yoga mat for beginners," and "yoga mat non-slip," it will be mediocre on all of them. Tighter thematic groups with keyword themes embedded in headlines solve this without requiring one-keyword-per-ad-group overhead.
Brand campaigns always score better. If you manage both, exclude them from your QS review. They skew your average upward and hide real optimization opportunities in non-brand campaigns.
QS is a keyword-level signal, not an account-level grade. A portfolio of QS 6–7 keywords that converts profitably is a healthy account. A portfolio of QS 8–9 keywords that doesn't convert is not. CPA, ROAS, and CVR are health metrics. QS is an efficiency input.
Landing Page Experience is partly technical. A 5-second mobile load time with high bounce rate signals poor experience. PageSpeed Insights will confirm it. Sometimes the fastest QS improvement comes from a faster page, not better ad copy.
Don't try. Your landing page can never be as relevant to a competitor's brand name as their own page. Accept a low QS on competitor terms and make the economics work through CPC discipline and conversion rate, not QS improvement.
Recurring threads from r/PPC and r/googleads: the questions that come up every time someone digs into Quality Score.
Each of these directly connects to a QS-related workflow.
For non-brand, exact match keywords in a well-structured campaign, 7–9 is achievable and strong. Brand keywords naturally land at 8–10 due to inflated CTR, so don't use them as a benchmark. A score of 5–6 is average. You're competitive but probably overpaying slightly per click. Below 4 on high-volume keywords usually means something specific is pulling a component to "Below Average" and is worth diagnosing.
Not directly. Ad Rank determines whether you enter an auction and where you place. QS is a major component of Ad Rank. A very low QS can effectively price you out of competitive auctions even with a high Max CPC. You pay more per click to earn a position that a better-optimized competitor holds for less.
Brand keywords have inflated Expected CTR because searchers are looking specifically for you. Of course your ad gets clicked. This inflates all three components for branded terms and tells you nothing about your non-brand campaigns. The gap is normal. It doesn't mean your non-brand campaigns are underperforming.
SKAGs made sense when Expanded Text Ads allowed per-keyword copy control. With RSAs, Google assembles headline combinations from your asset pool. Tight thematic ad groups (where all keywords share a clear intent and headlines reflect that) work well for both QS and performance, without the overhead of maintaining hundreds of individual ad groups.
Not enough impression data. Google needs a minimum number of auctions to calculate a reliable score. Keywords with fewer than roughly 50–100 impressions will show a dash. It's common for long-tail or seasonal keywords. It doesn't mean the keyword is bad. It just hasn't accumulated enough data yet. Don't make optimization decisions based on a dash.
The visible QS (1–10) is built from three components: Expected CTR, Ad Relevance, and Landing Page Experience. Each is rated Below Average, Average, or Above Average, with Expected CTR carrying the most weight. Google doesn't publish the exact point values, but the score reflects how your keyword, ad, and landing page perform relative to other advertisers in the same auction. The number in your account is a diagnostic estimate based on historical data. The actual per-auction quality calculation isn't visible and recalculates in real time per query.
Work on each component directly. For Expected CTR: test benefit-forward headlines, include the keyword theme in your headline, and match the ad message to what the searcher actually wants. For Ad Relevance: tighten ad groups so your headlines can reflect the keywords in the group. One RSA can't be relevant to 30 different keywords. For Landing Page Experience: match the page to the ad's promise, include the keyword in the H1, improve mobile page speed, and make the conversion path clear. The fastest wins usually come from landing page relevance, not ad copy.
For non-brand exact match keywords in a well-structured campaign, 7–9 is high and achievable. 10/10 happens on brand keywords and rare exact-match long-tail terms. It's not a realistic target for competitive non-brand campaigns. For high-competition verticals like legal, finance, or insurance, a 6–7 on core keywords is strong. The structural ceiling is lower because top advertisers have years of CTR data advantages. The mistake is benchmarking against brand keywords: 9/10 on your own brand name tells you nothing about whether your non-brand campaigns are efficient.