If you've spent any time in PPC circles recently, you've probably heard someone confidently declare that Quality Score is dead — a relic of simpler times when Ad Rank was just Max Bid multiplied by a single number. After managing over $350M in Google Ads spend across hundreds of accounts, I can tell you that the truth is far more nuanced, and misunderstanding it is costing advertisers real money every single day.
The "Quality Score Is Dead" Myth — Where It Comes From
A common question in the r/PPC community is whether Quality Score still has any practical impact in 2024. The skepticism is understandable. Google's Ad Rank formula has evolved dramatically from its original, elegant simplicity. Back in the early days, it was essentially:
Ad Rank = Max CPC Bid × Quality Score
Clean. Auditable. You could reverse-engineer exactly why you won or lost an impression. Then Google kept layering on complexity — auction-time quality signals, expected impact of ad extensions, auction context, device, location, search query nuance — until the visible Quality Score metric started feeling like a lagging indicator rather than a live control panel.
That frustration is legitimate. The 1–10 score you see in the interface is a diagnostic snapshot, not the real-time signal Google uses to set your actual Ad Rank. But concluding "therefore it doesn't matter" is a logical leap that will quietly drain your budget.
Key Insight: The visible Quality Score in your dashboard is a delayed diagnostic metric — but the underlying components (Expected CTR, Ad Relevance, and Landing Page Experience) are evaluated fresh at every single auction. Improving those components moves your real-time Ad Rank even when the displayed score hasn't updated yet.
How Ad Rank Actually Works in 2024
Google's current Ad Rank formula is more accurately described as:
Ad Rank = Bid × Quality (auction-time) × Expected Impact of Extensions & Formats × Auction Context Signals
The "Quality" component still exists — it's just computed dynamically at auction time using machine learning signals that go well beyond the three components shown in the interface. Those three visible components are:
Expected Click-Through Rate (eCTR): How likely is your ad to get clicked given the query?
Ad Relevance: How closely does your ad copy match the user's search intent?
Landing Page Experience: Is your post-click experience relevant, fast, and trustworthy?
Each of these is rated "Below Average," "Average," or "Above Average" — and each rating has real, measurable cost implications.
Quality Score Range
Typical CPC Impact vs. QS 7
What It Usually Signals
1–3
+25% to +400% higher CPC
Severe relevance or landing page mismatch
4–6
+10% to +25% higher CPC
Moderate gaps in relevance or CTR
7 (benchmark)
Baseline
Acceptable relevance across components
8–9
-10% to -20% lower CPC
Strong relevance, healthy CTR signals
10
-20% to -50% lower CPC
Exceptional match between ad, query, and landing page
These aren't theoretical ranges — I've pulled these patterns directly from client accounts over years of analysis. A keyword sitting at QS 3 that you're forcing into an auction with a $5 bid is effectively paying the same as a QS 10 competitor bidding $1.50 or less.
Best Practice: Run a weighted Quality Score analysis in Google Ads (or export to a spreadsheet) by multiplying each keyword's QS by its impressions, then divide the sum by total impressions. This gives you a true account-level QS baseline. Accounts with a weighted average below 6 almost always have significant efficiency headroom to unlock before touching bids.
Smart Bidding Doesn't Override Quality — It Amplifies It
One of the most common misconceptions I encounter is the belief that Smart Bidding strategies like Target CPA or Target ROAS make Quality Score irrelevant because "the algorithm handles everything." This gets things exactly backwards.
Smart Bidding algorithms are trying to win the right auctions at the most efficient cost. When your Quality components are strong, the algorithm can achieve your targets at lower bids. When they're weak, the algorithm is forced to overpay to stay competitive — or it pulls back spend entirely because it can't hit your targets at the prices the market requires.
I've seen accounts where switching to tCPA with poor Quality Scores resulted in dramatic impression share collapse. The algorithm wasn't broken — it was correctly identifying that the cost to acquire a conversion at that quality level was incompatible with the target. Fix the quality, and the same tCPA target suddenly becomes achievable.
Key Insight: Smart Bidding multiplies whatever efficiency you've already built into your account. High Quality Scores give the algorithm a lower cost floor to work from. Low Quality Scores raise that floor, forcing the algorithm to either overpay or exit auctions — both outcomes are expensive.
Common Mistake: Launching Smart Bidding strategies on campaigns with widespread Quality Scores below 5 before fixing underlying relevance issues. The algorithm won't fix structural quality problems — it will simply pay more to compensate for them, burning through budget while you wonder why tCPA isn't working.
The Three Components You Can Actually Control — And How
1. Expected Click-Through Rate
eCTR is the component practitioners most often ignore because it feels like a popularity contest. It's not — it's a relevance signal. Google's baseline for eCTR is calibrated against historical CTR for that keyword across all advertisers. An "Above Average" rating means your ads are outperforming that baseline; "Below Average" means users aren't finding your messaging compelling enough to click.
Tactics that move eCTR in the right direction:
Tighten ad group theming so your headlines speak directly to a tight cluster of keyword intent (single keyword ad groups or SKAGs are overkill in 2024, but 3–8 tightly related keywords per ad group is still sound practice)
Test emotional or urgency-based headline variations — "Save 30% This Week" consistently outperforms generic "Buy [Product] Online" in my testing
Use all available headline and description slots in Responsive Search Ads; more asset combinations give Google more chances to match the right message to the right query
Leverage Dynamic Keyword Insertion carefully — it inflates raw CTR but can hurt conversion rates if the landing page doesn't match the specific variant shown
2. Ad Relevance
Ad Relevance measures how well your ad copy aligns with the query being searched. The fix here is structural: if a keyword shares very little semantic overlap with your ad headlines and descriptions, Google considers that a mismatch — even if you manually think they're related.
Include your primary keyword — or a close variant — in at least one headline and ideally the first description line
Map keywords to landing pages that mirror the ad's core message; mismatches here hurt both Ad Relevance and Landing Page Experience simultaneously
Avoid stuffing unrelated products or offers into a single ad group to keep things "tidy" — the efficiency cost is real
3. Landing Page Experience
This is the component with the highest upside for most accounts I audit — and the most neglected. Google evaluates landing page experience based on relevance of page content to the ad & query, page load speed (especially mobile), ease of navigation, and trustworthiness signals.
A "Below Average" landing page experience rating can single-handedly tank an otherwise solid Quality Score. I've seen accounts where mobile page speed improvements alone moved dozens of keywords from QS 5 to QS 7–8, producing CPC reductions of 15–22% virtually overnight.
Best Practice: Run all of your key landing page URLs through Google's PageSpeed Insights and target a mobile score above 70. Every 1-second reduction in Time to Interactive on mobile typically correlates with meaningful landing page experience improvements in Google's quality evaluation. Aim for pages loading in under 3 seconds on a simulated 4G connection.
Common Mistake: Sending all traffic — regardless of product, service, or intent — to your homepage. Homepage landing pages almost universally score "Below Average" for landing page experience in Google's evaluation because they lack the specific, query-relevant content Google expects. Always use dedicated, intent-matched landing pages.
When Quality Score Matters Less (And What to Watch Instead)
As practitioners often discuss, there are genuine scenarios where Quality Score is less actionable as a primary optimization lever:
Brand campaigns: You'll almost always have QS 9–10 on branded terms. Don't waste time here — the efficiency gains are minimal.
Very low-volume keywords: Keywords with fewer than ~500 impressions per month often show "–" for Quality Score because there's insufficient data. Google is still evaluating quality at auction time, but you won't see a reliable diagnostic score.
Performance Max campaigns: PMax doesn't surface keyword-level Quality Scores by design. Here, asset group relevance, audience signals, and landing page quality are your equivalent levers — but they operate on the same underlying principles.
Highly competitive branded conquest campaigns: When bidding on competitors' brand terms, landing page experience and ad relevance will almost always be lower than the brand owner achieves. Structural QS disadvantage is baked in — manage CPCs and conversion economics carefully.
For Performance Max specifically, the Quality Score conversation shifts to asset quality ratings. Google rates your headlines, descriptions, images, and videos as "Low," "Good," or "Best." Treat these asset ratings as your PMax-equivalent of Quality Score — they directly influence how aggressively the algorithm deploys your assets.
Practical Quality Score Audit: What to Fix First
When I take over a new account, here's the prioritization framework I use to assess and address Quality Score issues:
Export all keywords with >100 impressions and their QS components into a spreadsheet
Flag all keywords rated "Below Average" for Landing Page Experience — fix these first, as they often have the highest CPC impact and are frequently solvable with page speed & content improvements
Identify all keywords rated "Below Average" for Ad Relevance — restructure ad groups or rewrite ad copy to address the mismatch
Address "Below Average" eCTR last — this is a longer optimization cycle requiring A/B testing of ad variants over time
Set a QS improvement KPI: target moving your weighted average QS from current baseline to 7+ within 60–90 days for most accounts
Pause or restructure keywords stuck at QS 1–3 with high impressions — they are actively dragging up your cost-per-conversion across the entire account
Best Practice: Track weighted Quality Score as a monthly KPI alongside CPC trends. A rising weighted QS paired with falling average CPCs is one of the clearest signals that your optimization work is translating into real auction efficiency — and it's a metric you can actually present to clients or leadership as tangible proof of value.
Bottom Line: What to Do Next
Quality Score in 2024 is not what it was in 2010 — but it is absolutely not dead. The underlying quality signals it represents are evaluated at every single auction. They directly affect how much you pay and where you appear. Smart Bidding doesn't eliminate the need for quality; it makes quality more important because the algorithm's efficiency ceiling is set by the quality foundation you've built.
Here are your five concrete action items:
Build a weighted Quality Score baseline today. Export your keyword data, calculate a impressions-weighted average, and benchmark it against the 7.0 target. This single number tells you immediately how much efficiency headroom exists in your account.
Prioritize Landing Page Experience fixes first. Run your top 10 landing page URLs through PageSpeed Insights. If mobile scores are below 60, this is your highest-leverage Quality Score improvement available — often fixable in days, not months.
Audit your ad group structure for relevance. If you have ad groups with more than 15–20 keywords spanning multiple intents, split them. Tighter theming directly improves both Ad Relevance and eCTR scores.
Don't launch Smart Bidding on low-quality campaigns. If your weighted QS is below 5, spend 30–60 days improving structure and landing pages on manual or enhanced CPC before transitioning to tCPA or tROAS. The algorithm needs a healthy quality baseline to perform efficiently.
Treat Performance Max asset ratings as your PMax Quality Score equivalent. Any asset group with "Low"-rated assets should be your PMax optimization priority — the same principle applies even without traditional keyword-level scoring.
The practitioners who dismiss Quality Score as irrelevant are leaving a meaningful cost efficiency lever on the table. In accounts spending $50K–$500K+ per month, that's not a rounding error — it's often the difference between a profitable channel and a mediocre one.
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.
