- Quality Score is a 1–10 signal based on three factors: Expected CTR (≈40%), Ad Relevance (≈30%), and Landing Page Experience (≈30%).
- A QS of 1–3 increases your effective CPA by up to 163% versus a QS 6–7 baseline. A QS of 10 reduces it by up to 50%.
- The fastest wins are usually in Ad Relevance (rewrite headlines to include the keyword) and Landing Page Experience (match the page headline to the ad copy, improve load speed).
Quality Score is Google's 1–10 rating of how relevant your keyword, ad, and landing page are to the person searching. It directly determines how much you pay per click and where your ads appear — a score of 1–3 can increase your effective CPA by over 160%, while a score of 10 can reduce it by up to 50%. In practice, most Swiss SMB accounts I audit sit in the 4–6 range on their primary keywords, leaving significant efficiency on the table. This guide covers exactly what each component means and the specific changes that move the number.
What is Quality Score and why does it matter?
Quality Score is a diagnostic metric Google calculates at the keyword level, displayed in your Google Ads interface as a number from 1 (lowest) to 10 (highest). It is not a direct input into the auction — what actually determines your ad position and cost is Ad Rank, which Google calculates as: Quality Score × Maximum Bid × expected impact of ad extensions.
This formula has a significant implication: a competitor with a higher Quality Score can outrank you while paying less per click. If your maximum bid is CHF 8 and your QS is 4, your Ad Rank is 32. A competitor bidding CHF 5 with a QS of 8 has an Ad Rank of 40 — they rank above you and pay less. This is Google's financial incentive: relevant ads generate more clicks, more revenue, and a better experience for users. Quality Score is the mechanism that rewards relevance.
The score is recalculated continuously and shown as an average in your interface. A keyword needs approximately 30 impressions before Google shows a numeric score — below that threshold, you will see dashes instead of a number.
What are the three components of Quality Score?
Each keyword's Quality Score is built from three sub-scores, each rated as "Above average", "Average", or "Below average":
| Component | What Google measures | Approx. weight | Where to fix it |
|---|---|---|---|
| Expected CTR | Predicted probability of a click when your ad shows for this keyword — compared to other advertisers' historical CTR on the same keyword | ~40% | Ad copy, headline structure, match type |
| Ad Relevance | How closely your ad copy matches the intent and language of the search query | ~30% | Headline keyword inclusion, ad group structure |
| Landing Page Experience | Relevance of your landing page content to the keyword and ad, plus page load speed and mobile usability | ~30% | Page copy, load speed, navigation clarity |
You can see each sub-score in Google Ads by going to Keywords > Columns > Modify columns > Quality Score. Add "Exp. CTR", "Ad relevance", and "Landing page experience" as separate columns. This diagnostic view tells you exactly which component is dragging down each keyword's score.
How does Quality Score affect your CPA and Ad Rank?
The relationship between Quality Score and cost is non-linear. The difference between QS 4 and QS 7 is larger than the difference between QS 7 and QS 10, because Ad Rank is a multiplicative function. Here is how the cost impact looks across the full range, benchmarked against accounts managed across the DACH region from 2020 to 2026:
The practical implication: for a campaign spending CHF 2,000/month on a keyword cluster with average QS 4, bringing that to QS 7 is roughly equivalent to reducing spend to CHF 1,300/month for the same number of conversions. That difference pays for a landing page redesign, a copywriting review, or several months of management fees.
How do you improve Expected CTR?
Expected CTR is the most influential component and the one that surprises most advertisers: Google does not measure your actual CTR in isolation. It compares your predicted CTR to other advertisers who have shown ads for the same keyword. If your CTR is 4% but competitors average 6%, your expected CTR component is below average despite what looks like decent performance.
The highest-impact changes for Expected CTR:
- Use the keyword in Headline 1. Ads with the target keyword in the first headline consistently outperform those that bury it. "Google Ads für Umzugsunternehmen" in Headline 1 beats "Professionelles Online-Marketing" every time for that specific query.
- Use Dynamic Keyword Insertion (DKI) selectively. DKI automatically inserts the search term into your headline, which boosts CTR for exact and phrase match campaigns. Avoid it for broad match — the inserted terms can be irrelevant and confusing.
- Add ad extensions aggressively. Sitelinks, callouts, structured snippets, and call extensions visually expand your ad, increasing click surface area. Ads with full extension coverage show higher CTRs across nearly all industries.
- Test Responsive Search Ads (RSA) asset combinations. After 2,000+ impressions, check the asset performance labels in your RSA. Remove "Low" rated headlines and replace them with tighter keyword-intent matches. Over 4–6 weeks, this consistently lifts CTR by 15–30%.
How do you improve Ad Relevance?
Ad Relevance measures how closely your ads match the intent of the keyword. The most common cause of "Below average" Ad Relevance is a structural problem: an ad group containing too many loosely related keywords, all shown the same generic ad copy.
The fix is tighter ad group segmentation:
- Group keywords by a single intent. "Umzug Bern" and "Umzugsunternehmen Bern" belong together. "Umzugskartons kaufen" belongs in a different ad group because the intent is product purchase, not service hire — and the ad copy needs to differ.
- Write ads that could only be for this specific keyword group. If your ad copy would work equally well for five different keyword groups, it is probably not relevant enough for any of them. The more specific the headline, the higher the relevance score.
- Match the search query language exactly. If the keyword is "GA4 Conversion Tracking einrichten", the ad should contain "Einrichten" or a direct synonym — not just "GA4 Experte" which Google reads as adjacent but not directly on-intent.
How do you improve Landing Page Experience?
Landing Page Experience is evaluated by Google's crawler and rated on three factors: relevance of the page content to the keyword and ad, page load speed on mobile, and navigational transparency (can users find what they need without tricks or confusing design).
Most "Average" or "Below average" landing page scores in Swiss SMB accounts come from one of three problems:
- Page headline does not match the ad headline. If your ad says "Google Ads für Handwerksbetriebe — kostenlose Beratung" but the landing page headline is "Ihr digitaler Marketingpartner", Google sees a relevance gap. The page headline should echo the core promise in the ad — ideally with the target keyword in the H1.
- Page load speed on mobile is over 3 seconds. Use PageSpeed Insights (pagespeed.web.dev) to test. Anything above 3 seconds hurts both Quality Score and conversion rates. The most common fixable issues: unoptimised images, render-blocking scripts, no lazy loading.
- Sending all traffic to the homepage. The homepage is almost never the right landing page for a specific keyword. A keyword like "Umzugsunternehmen Bern Kosten" should land on a page specifically about Bern moving services and pricing — not a general homepage that makes the user hunt for information.
In my experience working with DACH clients: what a Quality Score fix looks like in practice
In my experience working with DACH clients, one of the most consistent patterns I see is accounts where Expected CTR and Ad Relevance are "Above average" but Landing Page Experience is dragging the overall score down to 5 or 6. The ads are doing their job — people are clicking — but the page does not deliver on the ad's promise, and Google knows it.
A concrete case: a moving company in Bern (Umzugteam.ch) was running ads for "Umzug Bern" with a Quality Score of 5 on their primary keyword. The ads had strong CTR — a QS component of "Above average" — but the landing page was the site's general homepage, which loaded in 6.2 seconds on mobile and made no specific mention of Bern. Google's crawler read it as a generic moving services page, not a Bern-specific one. Ad Relevance was "Average", Landing Page Experience was "Below average".
The fix involved three changes: a dedicated Bern landing page with "Umzug Bern" in the H1, reduced load time to 2.1 seconds via image compression, and a consistent CTA (free quote for Bern moves) that matched the ad copy. Within 3 weeks, Quality Score moved from 5 to 8 on the primary keyword. CPC dropped from CHF 4.20 to CHF 2.90 — a 31% reduction — with no change in daily budget. The same spend generated 45% more clicks.
Benchmark data and market observations from Google Ads accounts managed by Dennis Westphal across Switzerland and the DACH region (2020–2026). Keyword volume data: DataForSEO March 2026. Industry context cross-referenced with WordStream 2025 Google Ads Industry Benchmarks and official Google Ads documentation.
In a free audit, I pull your full Quality Score diagnostic — keyword by keyword — and show you exactly which component is costing you the most. No pitch. Book a free audit →