Quality Score is a keyword level diagnostic in Google Ads, shown as a whole number between 1 and 10. It reflects how well the keyword, the ad shown for it and the page the ad points to match what a person was looking for. Microsoft Advertising publishes a similar figure under the same name.
Google builds the score out of three components, each labeled below average, average or above average: expected click-through rate, ad relevance and landing page experience. The number in the keyword report is a summary of these historical signals, not the live value used in any single auction.
The score matters because it feeds Ad Rank, the figure that decides where your ad appears and how much a click costs. A dental practice with a score of 8 on the phrase "emergency dentist" can outrank a competitor bidding more, and pay less for the click while doing it.
Mechanics
How Quality Score changes what you pay
In every search auction Google multiplies your bid by a quality estimate to produce Ad Rank. Ads are ordered by Ad Rank, and the price you pay is roughly the amount needed to beat the advertiser below you, divided by your own quality. A stronger quality signal therefore does two things at once: it lifts your position and it discounts your CPC.
Expected CTR asks whether people who see your ad for this keyword tend to click it, compared with other ads in the same position. Ad relevance asks whether the ad text speaks to the query; an ad about teeth whitening shown for "root canal cost" scores poorly here. Landing page experience looks at the page itself: does it load quickly on a phone, is the content about the query, is it easy to find a phone number or a form.
Scores are stored per keyword and update slowly as data accumulates. New keywords start with a placeholder value, and a keyword with very few impressions may show no score for weeks.
Example
A worked example for a dental practice
Consider two dental offices bidding on the same phrase, "invisalign near me". Practice A bids 8.00 and has a Quality Score of 4; Practice B bids 6.00 with a score of 8. Using a simplified Ad Rank of bid times score, A scores 32 and B scores 64, so B takes the higher position with the lower bid.
Now estimate what B pays. Under the same simplified model, B needs an Ad Rank just above A's 32, so its click price is 32 divided by its score of 8, which is about 4.00, plus a small increment. B set a maximum of 6.00 and pays roughly 4.00 per click, while A, sitting below B, pays closer to its full bid whenever someone clicks.
Over 500 clicks the difference is about 2,000 in a month for the same traffic. If Practice A raised its score to 7 by rewriting the ad and sending clicks to a dedicated aligner page, its Ad Rank would rise to 56, and the price of holding any given position would fall in proportion.
Use
When to act on Quality Score and when to ignore it
- Act on it when a keyword that drives most of your spend shows a score of 5 or below, because that is where a better ad or page pays back fastest.
- Use the three component labels as a checklist: a below average landing page experience points at the site, while a below average ad relevance points at the ad copy.
- Ignore it for branded keywords, which naturally score high, and for keywords with too few impressions to have a stable score at all.
- It misleads as an account wide goal; an average score across every keyword rewards pausing broad terms that were making money, just to tidy up a number.
- It is not a measure of results: a keyword with a score of 10 can still have a poor CPA if the query itself has no buying intent.
Watch out
Common mistakes with Quality Score
- Sending every ad to the homepage, which usually earns a below average landing page experience because the page is about everything and the query is about one thing.
- Packing many unrelated keywords into one ad group, so no single ad can be relevant to all of them and ad relevance drops across the group.
- Chasing a score of 10 on every keyword instead of fixing the few high spend keywords where a low score costs real money.
- Misreading the score as live auction data; it is a historical summary, so a change made today will not show up in the column for some time.
- Blaming Quality Score for poor results when the problem is elsewhere; see why Google Ads is not working for the usual suspects.