7 Tactics for Google Ads Quality Score Improvement (That Actually Move the Needle)

Quality Score is a 1-10 diagnostic that Google Ads reports at the keyword level. Google has said it is not a direct input to the ad auction, which runs on real-time signals. But its three components (expected click-through rate, ad relevance, and landing page experience) point at the things that do affect your CPC and ad position. There is no account-level or campaign-level score, and a 10 is not the goal for every keyword.

If you're staring at keywords scored 3 to 6 and paying more per click than you expected, the number won't tell you what to fix. The components will. The seven tactics below run from diagnosis to ongoing maintenance, so you fix the component that's actually rated "Below average" instead of chasing the score itself.

1. Diagnose Which Quality Score Component Is Dragging You Down

A Quality Score of 4 can mean three very different problems. Google rates each component as Above average, Average, or Below average, and the fix for a weak landing page has nothing in common with the fix for weak ad relevance. Diagnosis first keeps you from burning hours on the wrong lever.

Here's an illustrative case. A keyword spends $800 a month and shows a Quality Score of 4, with "Below average" only on landing page experience. Expected CTR and ad relevance are both fine. Rewriting the ad copy would be wasted effort here; the page is the problem.

Setting it up

1. Open the Keywords view in your account.
2. Add the Quality Score columns, typically via Columns > Modify columns > Quality Score. Google moves menus around, so confirm the current path in your interface.
3. Add the score plus the three component columns: expected CTR, ad relevance, and landing page experience.
4. Filter for any component rated "Below average" and sort by cost, highest first.

Start at the top of that list. A keyword spending $800 deserves attention long before one spending $6.

The common mistake is treating the 1-10 number as a KPI and polishing low-spend keywords because they look ugly. The second is rewriting ads by reflex when the landing page is the culprit. Also remember that the score is an estimate based on historical data, and keywords with little traffic may show no score at all.

To measure progress, track the share of spend sitting on keywords with a "Below average" component, and an average Quality Score weighted by cost or impressions. A simple average treats a dormant keyword the same as your biggest spender, which hides what matters.

2. Split Campaigns Into Tightly Themed Ad Groups

Ad relevance is partly a question of how closely your ad matches what the person searched. When an ad group holds keywords with mixed intent, no single ad can match them all. Grouping keywords by shared intent lets each group carry ads and a landing page that speak directly to its terms.

Illustratively, imagine one broad "running shoes" ad group. Split it into trail, women's road, and marathon groups. Each gets headlines that name its own theme and its own destination page. The trail searcher sees trail copy and lands on trail shoes, not a generic catalog.

How to do the split

1. Export or review the keywords in the ad group.
2. Cluster them by intent, not just by shared words.
3. Create a new ad group for each cluster and move the keywords over.
4. Write responsive search ads (RSAs) tailored to each group.
5. Point each group at the closest matching page.

Clustering is the slow part when you do it by hand in a spreadsheet. Keywordme offers keyword clustering and bulk editing, which can speed up grouping if you're already working inside Google Ads.

Two mistakes show up constantly. One is over-splitting into single-keyword ad groups that become a nightmare to manage and starve each ad of data. The other is moving keywords without updating the ads, which gives you tidy structure and the same mismatched copy. Aim for a handful of closely related keywords per group, not one.

Measure ad relevance ratings and CTR per ad group before and after the split. Give it a few weeks of data, since ratings don't update instantly.

3. Mine the Search Terms Report to Cut Irrelevant Traffic

Keywords are what you bid on. Search terms are what people actually typed. The gap between the two is where a lot of wasted impressions live, and those impressions drag down keyword-level CTR, which feeds expected CTR.

Illustratively, say a SaaS campaign targets "project management software". The Search Terms Report shows queries like "free project management templates" piling up impressions with no clicks. Those people wanted a template, not a subscription. Adding negative keywords (terms that stop your ads showing for matching searches) removes that traffic, and keyword-level CTR can climb as a result.

The routine

1. Open the Search Terms Report and sort by impressions, then by cost.
2. Mark irrelevant terms as negatives, choosing the right level (ad group, campaign, or list) and match type.
3. Promote relevant, converting search terms to positive keywords with a deliberate match type.

This is the most repetitive job in PPC, and it's where Keywordme fits: it lets you remove junk search terms, add negatives, add keywords, and apply match types with clicks inside the report itself, so you skip the export-and-upload loop. You still decide which terms are junk. It doesn't change the Quality Score by itself; it just makes the cleanup quick enough that you'll actually do it.

Watch two pitfalls. Broad-match negatives can block good queries you never meant to lose, so keep negatives narrow unless the term is clearly useless. And don't look only at terms that got clicks; high-impression, zero-click terms are often the biggest CTR drag.

Measure keyword-level CTR, wasted spend on non-converting search terms, and the share of search terms you'd judge relevant.

4. Write Ads That Echo the Keyword and Earn the Click

The mistake to avoid comes first here, because it's the one people make when they hear "be relevant": cramming the exact keyword into every headline. That reads as robotic and doesn't help the click. Relevance means matching the searcher's need, then giving them a reason to choose you.

Take an illustrative search for "emergency plumber austin". "Emergency Plumber in Austin, 24/7" is relevant and specific. "Quality Plumbing Services" could be anyone, anywhere. The first answers the search and states an offer; the second makes the searcher do the work.

In an RSA, Google mixes your headlines and descriptions, so variety matters. Practical steps:

1. Write distinct headlines, aiming for roughly 8 to 15, covering the keyword theme, a concrete benefit, and a call to action.
2. Add sitelinks and callouts (now grouped under assets) that expand on the offer.
3. Check asset performance labels and replace the weak ones.
4. Keep pinning to a minimum, so Google can test combinations.

Over-pinning is the second common error. If you lock a headline into position 1 and another into position 2, you've turned a flexible ad back into a static one. Pin only where legal or brand rules truly require it.

Measure CTR by ad and ad group, the ad relevance rating, and asset performance labels. Treat Google's Ad Strength indicator as a guide, not a target; a "Good" rating doesn't guarantee a better CTR on your keywords.

5. Make the Landing Page Match the Ad's Promise

Landing page experience is Google's read on how useful and relevant your page is to people who click. Relevance to the keyword theme, clear navigation, and a fast, usable mobile experience all play into it. Check Google's current Help documentation for the exact factors, since the wording gets updated.

An illustrative fix: the trail running ad group currently sends clicks to the homepage. Swapping that for a dedicated "trail running shoes" category page means the searcher lands on what the ad promised. The headline and offer on the page should echo the ad.

Steps to follow

1. Map each ad group to its closest existing page, or note where a new page is needed.
2. Align the page headline and offer with the ad copy.
3. Run the page through PageSpeed Insights and review the mobile results first.
4. Compress images and cut render-blocking scripts.

The classic mistake is sending every ad to the homepage. The other is judging speed on a desktop connection, since the desktop page looks fine while the mobile version crawls. Most searches happen on phones for plenty of businesses, so test there.

Measure the landing page experience rating, mobile speed scores, bounce rate, and conversion rate by landing page. A rating that climbs while conversions stay flat suggests the page is faster but still not persuasive.

6. Protect Expected CTR With Smart Match Types and Bidding Context

Expected CTR is Google's estimate of how likely your ad is to be clicked for that keyword, independent of ad position. Match types shape which searches trigger the ad, so they shape CTR directly. A loose match type invites queries from people who were never going to click.

Illustratively, a broad match keyword is pulling in research-intent queries. Switching it to phrase match and adding negatives for the research terms narrows the audience and can lift CTR on that keyword.

Where to look

• Match type variants: compare CTR across versions of the same theme to see which one is diluting performance.
• Device: a keyword with healthy desktop CTR and weak mobile CTR may need different ads or a better mobile page.
• Schedule: segment by day and hour before concluding anything.
• Query mix: use the Search Terms Report to see what's pulling the average down.

Segment first, then change. Otherwise you may tighten match types when the real issue is mobile.

The common errors are applying one match type approach to the whole account, and comparing expected CTR across unlike keywords. Brand terms and generic terms behave differently; brand keywords usually earn far higher CTR, so their scores aren't comparable with generic ones. Compare like with like.

Measure CTR by match type and keyword theme, and watch the expected CTR rating over time.

7. Prune, Pause, and Re-test on a Regular Cadence

Quality Score drifts. Competitors change their ads, search behavior shifts, and pages get edited by someone who didn't know they were landing pages for ads. A recurring review catches this before it shows up in your CPC.

For an agency, an illustrative version is a monthly checklist applied to every client account: search terms, Quality Score columns, ad tests, and landing page checks. Standardizing it means a new hire follows the same routine as the account lead, and no client gets skipped.

1. Schedule the review monthly and keep it on the calendar.
2. Log each change with its date, so you can connect results to actions.
3. Give new tests enough data before judging them.
4. Use Quality Score history columns to track trends rather than snapshots.

Two mistakes cause the most damage. Pausing keywords with low scores but strong conversions throws away profitable traffic; if a keyword converts at a good cost, a mediocre score may be fine. And changing ads, pages, and match types at once leaves you unable to say what worked. One variable at a time is slower per test but faster to learn from.

Measure the trend in cost-weighted Quality Score, CPC on your target keywords, and conversions per dollar of spend over time. A rising score with worsening conversions per dollar means you optimized the number, not the account.

Where to Start: Diagnosis and Search Terms First

Begin with tactic 1 and tactic 3. Both are fast and cheap, and they tell you where the money is leaking before you rebuild anything. Once you know which components are rated "Below average" on your biggest spenders, work through ad groups, ads, and landing pages on those keywords first, and leave the long tail for later. Keep tactic 7 as the habit that holds everything together.

Search term cleanup is also the step most likely to pile up, because it never ends. Keywordme was built for exactly that part of the job.

Optimize Google Ads Campaigns 10X Faster. Without Leaving Your Account. Keywordme lets you remove junk search terms, build high-intent keyword lists, and apply match types instantly, right inside Google Ads. No spreadsheets, no switching tabs, just quick, seamless optimization. Start your free 7-day trial (then just $12/month) and take your Google Ads game to the next level.