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Tips to Increase Quality Score

Google Ads Strategy

Quality Score is one of those metrics that veteran PPC practitioners have a love-hate relationship with — it's not a direct ranking factor you can manually override, yet it quietly governs how much you pay per click, where your ads show, and whether your campaigns are profitable or hemorrhaging budget. After managing over $350M in Google Ads spend across verticals ranging from SaaS to e-commerce to local services, I can tell you that chasing Quality Score for its own sake is the wrong move — but systematically improving the underlying components almost always produces better CPCs, better conversion rates, and better ROI simultaneously.

What Quality Score Actually Measures (And Why Most Guides Get It Wrong)

Google assigns Quality Score on a 1–10 scale at the keyword level, based on three core components: Expected Click-Through Rate (eCTR), Ad Relevance, and Landing Page Experience. Each component is rated as "Below Average," "Average," or "Above Average." The composite score is essentially a diagnostic snapshot, not a real-time bidding signal.

Here's what most blog posts miss: Google's actual ad auction uses a more granular, real-time quality calculation — not the rounded 1–10 score you see in your dashboard. That 1–10 number is a trailing indicator sampled at irregular intervals. This means obsessing over moving your score from a 6 to a 7 is less important than systematically improving the actual behaviors Google is measuring.

Key Insight: Quality Score is a diagnostic tool, not a direct lever. The 1–10 score is updated periodically and reflects historical performance. Improving the underlying drivers — CTR, ad-to-keyword relevance, and landing page experience — is what actually lowers your CPCs in real auctions, often before the visible score moves at all.

Benchmarks from campaigns I've managed: a Quality Score of 7 or above typically signals healthy account hygiene. Scores of 5–6 represent a meaningful opportunity to reduce CPCs, often by 15–30%. Scores below 4 on high-volume keywords are actively costing you money — in some accounts, I've seen keywords with Quality Score 2–3 paying 3–4x the CPCs of comparable competitors with scores of 8–9.

Component #1: Expected Click-Through Rate — The Most Misunderstood Factor

A common question in the r/PPC community is whether CTR is calculated against your historical performance or against some universal benchmark. The answer: it's compared to other advertisers bidding on the same keyword in similar contexts. Google essentially asks, "Given this keyword and ad position, is this advertiser's ad expected to get clicked more or less than average?"

How to Improve eCTR

  • Use exact match or phrase match for your core terms — broad match pulls in queries where your ad is inherently less relevant, dragging down eCTR signals on the keyword level.
  • Pause or restructure keywords with persistent "Below Average" eCTR — don't let a zombie keyword drag down your ad group's signal history.
  • Test ad copy aggressively — run at least 2–3 responsive search ad (RSA) assets in every ad group, use Google's asset performance labels to identify "Low" performing headlines, and replace them every 4–6 weeks.
  • Front-load keywords in headlines — match the searcher's language as closely as possible in Headline 1 or Headline 2. This isn't just keyword stuffing; it's relevance signaling to both the user and Google's algorithm.
  • Use ad extensions strategically — sitelinks, callouts, and structured snippets increase ad real estate and click area. Accounts with 4+ active sitelinks consistently show 10–20% CTR lifts in my experience.
Common Mistake: Consolidating all keywords into a small number of ad groups to "simplify" account structure. When a single ad group covers 50+ keywords with varied intent, no single ad can be highly relevant to all of them, and eCTR suffers across the board. Tighter ad groups — ideally 5–15 tightly themed keywords — allow your ads to actually match user intent.

The CTR vs. Conversion Rate Tradeoff

One nuance worth addressing: writing clickbait-style ads to inflate CTR while masking conversion rate issues is a short-term Quality Score trick that hurts your bottom line. If your ad promises something your landing page doesn't deliver, you'll see elevated CTR paired with poor post-click engagement, which feeds back negatively into Landing Page Experience scores. Always optimize for qualified clicks, not raw volume.

Component #2: Ad Relevance — The Structure Problem

Ad Relevance measures how closely your ad copy aligns with the keyword's intent. This is overwhelmingly a structural problem — most "Below Average" ad relevance scores come from ad groups that are too broad, not from bad copywriting per se.

Single Keyword Ad Groups (SKAGs) vs. Tightly Themed Ad Groups (STAGs)

Approach Ad Relevance Impact Management Overhead Best For
SKAGs (one keyword per ad group) Maximum — ad copy can exactly mirror the keyword Very high — scales poorly beyond 200–300 keywords High-value, high-volume individual keywords
STAGs (5–15 tightly themed keywords) High — ad copy covers a coherent intent cluster Moderate — manageable at scale Most campaigns; recommended default approach
Broad ad groups (50+ mixed keywords) Low — generic ads can't address specific intents Low — but false economy Not recommended for Quality Score optimization

In practice, I recommend a hybrid: use SKAGs for your top 20–30 highest-spend keywords where maximum relevance ROI is justified, and STAGs for the long tail. This gives you Quality Score leverage where it matters most without drowning your team in ad group management.

Best Practice: Use Dynamic Keyword Insertion (DKI) sparingly and carefully. DKI can boost Ad Relevance scores mechanically by mirroring the search query in your headline, but it creates problems when inserted keywords are grammatically awkward, overly long, or don't match your actual value proposition. Audit DKI ad groups quarterly and replace underperforming combinations with tailored copy.

Component #3: Landing Page Experience — The Highest Leverage Lever

As practitioners often discuss in r/PPC threads, landing page experience is frequently the most impactful Quality Score component — and the one most advertisers underinvest in. Google evaluates landing pages based on several signals: relevance of page content to the ad and keyword, page load speed, mobile usability, ease of navigation, and transparency (clear business information, privacy policies, etc.).

The snippet circulating in this thread mentions that "landing pages with low bounce rates and longer session durations get higher scores regardless of keyword density" — and this is broadly accurate. Google doesn't crawl your landing page and count keyword occurrences like it's 2008. It uses aggregated user behavior signals from Chrome and its ad ecosystem to infer whether users are finding what they came for.

Actionable Landing Page Improvements

  1. Match the message precisely. If your ad headline says "Enterprise CRM Software — Free Trial," your landing page H1 should echo that language. Message match is a direct relevance signal and reduces bounce rate simultaneously.
  2. Fix page speed first. Google's PageSpeed Insights is free. Any page scoring below 50 on mobile is actively hurting your Quality Score and your conversion rate. Target >70 on mobile. In my experience, moving a landing page from a 35 to a 72 mobile PageSpeed score has produced Quality Score jumps of 1–2 points on brand terms and 15–25% CPC reductions.
  3. Optimize for mobile unconditionally. Across most verticals I manage, 55–70% of paid search impressions are mobile. A desktop-only landing page strategy in 2024 is leaving Quality Score points on the table.
  4. Reduce friction on the page. Interstitial popups, excessive form fields, and confusing navigation all degrade session quality metrics that feed into Google's landing page assessment.
  5. Use dedicated landing pages, not your homepage. Homepages are built for all audiences. A paid traffic landing page should speak directly to the intent of the specific keyword cluster driving that traffic. This single change has improved Quality Scores by 2–3 points on mid-funnel terms in multiple accounts I've audited.
Key Insight: Google's Landing Page Experience score doesn't update in real time. After making significant changes to a landing page — especially speed improvements — allow 4–6 weeks of impression data to accumulate before evaluating the Quality Score impact. Impatient optimizers often revert good changes before the data has time to reflect them.
Common Mistake: Sending all traffic to a single "universal" landing page regardless of campaign or ad group. If your "accountant software for freelancers" ad group and your "enterprise accounting platform" ad group both point to the same homepage, neither will achieve strong Landing Page Experience scores. Segment landing pages by intent, not just by product.

Account Structure & Negative Keywords: The Silent Quality Score Killers

Two structural factors that rarely get discussed in Quality Score conversations have an outsized impact: account organization and negative keyword hygiene.

Why Negative Keywords Matter for Quality Score

Every time your ad shows for an irrelevant query and doesn't get clicked, it registers as a negative signal toward your eCTR. At scale, loose match types without negative keyword coverage produce thousands of low-CTR impressions on irrelevant queries, depressing your Quality Score across the entire ad group — including for the relevant queries where you actually want to win.

Recommended negative keyword hygiene practices:

  • Review Search Terms Reports weekly for new campaigns, bi-weekly for mature campaigns.
  • Build shared negative keyword lists for branded competitors, irrelevant verticals, and navigational queries.
  • Use exact match negatives at the ad group level and phrase/broad negatives at the campaign level to prevent cross-contamination between ad groups.
  • For brand new campaigns, preemptively add negatives based on keyword research before the first impression — don't wait for bad data to accumulate.

Campaign & Ad Group Organization Principles

Quality Score rewards specificity. Every layer of your account structure — from campaign to ad group to ad copy to landing page — should form a coherent, tightly aligned narrative around a specific user intent. When that chain breaks down anywhere, Google's quality systems notice it through behavioral signals.

Best Practice: Conduct a Quality Score audit at least quarterly. Pull keyword-level Quality Score data segmented by the three components (eCTR, Ad Relevance, Landing Page Experience) and create a prioritized fix list. Focus your effort on high-spend, low-Quality Score keywords first — that's where the CPC savings are largest in absolute dollar terms.

Historical CTR, New Keywords & the Cold Start Problem

New keywords start with no historical data, so Google assigns them an initial Quality Score based on the account's overall quality history and the broader keyword's competitive context. This is worth knowing for two reasons:

  1. Account-level quality signals matter. A well-structured account with strong historical performance will generally give new keywords a higher starting score than a low-quality account would. This is compounding leverage — the better your account hygiene over time, the easier it is to launch new keywords successfully.
  2. New keywords need volume to stabilize. Quality Scores below 1,000–2,000 impressions are statistically noisy. Don't make structural decisions based on Quality Scores for keywords that haven't accumulated enough impressions to be reliable. I typically wait for at least 500–1,000 impressions per keyword before treating Quality Score as a stable signal.

For new accounts or campaigns without history, the fastest path to baseline Quality Scores is: tight ad groups, highly relevant RSA copy with keyword-inclusive headlines, and dedicated landing pages with fast load times. Don't try to win on bids alone — Quality Score is your cost multiplier, and getting it right from the start compresses your ramp-up costs significantly.

What to Do Next: Your Quality Score Action Plan

Quality Score improvement isn't a one-time fix — it's ongoing account hygiene. Here are five concrete steps to implement immediately:

  1. Run a Quality Score audit this week. Export all active keywords with impression volume >100 in the last 30 days. Filter for Quality Score <6 and sort by spend descending. These are your highest-priority optimization targets — low scores on high-spend keywords are bleeding your budget in real time.
  2. Test your top 10 landing pages in PageSpeed Insights. Any mobile score below 60 gets flagged for immediate speed optimization. Even reducing Time to First Byte (TTFB) by 200–300ms on a high-traffic page can meaningfully shift user engagement metrics and feed back into Quality Score within 4–6 weeks.
  3. Audit ad group sizing. Any ad group with more than 20–25 active keywords is likely suffering from ad relevance dilution. Identify the top-volume intent clusters and split them into dedicated, tightly themed ad groups with tailored copy and dedicated landing pages.
  4. Pull your Search Terms Report and add negatives systematically. Eliminate irrelevant impression volume that's suppressing eCTR. This is free money — you're not reducing reach for relevant queries, you're removing noise that was making your relevant queries look worse than they are.
  5. Commit to a quarterly review cadence. Quality Score is a trailing metric that rewards consistency. Set a calendar reminder every 90 days to review component-level scores, update ad copy assets based on performance labels, and ensure landing pages remain fast and message-aligned as your site evolves.

The bottom line is that Quality Score improvement is really just a proxy for building better, more relevant campaigns that genuinely serve user intent. When your ads say what users are searching for, and your landing pages deliver what your ads promise, at a speed that doesn't frustrate users on mobile — Google rewards that behavior with lower CPCs and better positioning. Every single tactic above is in service of that simple principle.

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AI Disclosure: This article was generated with AI assistance based on a community discussion on Reddit r/PPC. Expert analysis and practitioner perspective by John Williams, Founder, AHMEEGO · Google Ads Practitioner with $350M+ in managed Google Ads spend. AI was used to draft and structure the content; all strategic recommendations reflect real campaign experience.