Google Ads quality score: what it measures and what to fix

Aug 22
3 min read

Updated: 6 days ago

Introduction

Two businesses bid on the same search. One pays noticeably less per click and appears higher. The difference is not budget.

Quality score is the mechanism, and it is one of the few places where doing the unglamorous work properly produces a direct discount on media costs.

1. Google Ads quality score has three components

Expected click-through rate: how likely your ad is to be clicked compared with others in the same position.

Ad relevance: how closely the ad text matches the search.

Landing page experience: whether the page delivers what the ad promised, quickly, on a phone.

Each is reported as below average, average or above average. The overall number out of ten is a summary — the component breakdown is what tells you where to work.

2. It is a discount, not a scoreboard

The practical effect is on cost. A higher score lowers what you pay for the same position; a low one means paying a premium to appear at all.

That reframes the work. Improving relevance is not a vanity exercise, it is a reduction in cost per customer that persists for as long as the campaign runs.

For a small budget this matters more than for a large one, because there is less room to out-spend a structural disadvantage.

3. Loose keyword grouping is the usual cause

The most common structural fault: one ad group containing forty loosely related keywords served by two generic ads.

No ad can be closely relevant to forty different searches. Relevance scores drop, click-through follows, and cost rises across everything in the group.

The fix is grouping by intent and phrasing rather than by topic. Fewer keywords per group, each group with ads written for those specific searches.

4. Ad text should echo the search

Relevance is largely mechanical. If the search phrase appears naturally in the headline, the ad reads as an answer.

That does not mean stuffing keywords. It means the first headline addresses what was searched rather than describing your company. "Emergency plumber, open now" answers a search; "Quality service since 2004" does not.

Write one ad per group of closely matched searches instead of one ad intended to cover everything.

5. The landing page is usually the neglected component

Landing page experience is where most accounts lose ground, because it is the part that is not inside the ad platform.

Three things carry most of the weight: does the page mention what the ad promised, does it load quickly on a mobile connection, and can someone act without hunting for a way to do it.

Sending every campaign to the homepage is the classic version of this problem. The homepage is about your business; the page needs to be about the search.

6. Fix the components in cost order

You cannot fix everything at once, so start where the money is.

Sort keywords by spend, look at the component breakdown for the expensive ones, and address whichever is marked below average. Ignore low scores on keywords that barely spend, however irritating they look.

This keeps the work proportional. A below-average score on a term consuming a third of the budget is worth a day; the same score on a term costing a fraction is worth nothing.

7. Expect it to move slowly

Scores update on accumulated data, so changes do not register immediately.

After restructuring, give it a couple of weeks of reasonable volume before judging. Making further changes every few days produces an account nobody can evaluate, because no version ran long enough to be measured.

Low-volume keywords may show a default score that reflects little real data. Do not restructure an account around those.

8. Do not optimise the score instead of the outcome

The score is a proxy, and proxies can be gamed against your own interest.

A tightly matched ad with high relevance that sends people to a page selling something they did not want will score well and produce nothing. Conversely, a slightly lower score with strong conversion is a better business.

Track cost per customer alongside it. Use quality score to explain why costs are what they are, and the conversion numbers to decide what to keep.

Conclusion

Three components: expected click-through, ad relevance and landing page experience, and the breakdown tells you where the problem is.

Group keywords tightly by intent, write ads that echo the search, send traffic to a page that matches the promise, work in cost order, allow time for scores to settle — and judge the account on cost per customer rather than on the score itself.