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How to Increase Google Ads Quality Score: 10/10 Playbook

October 24, 2026•By Subhranil Naskar•Fact-Checked & Audited
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increase google ads quality score

Google Ads auctions are not won simply by the highest bidder. Google’s primary revenue algorithm runs on an Ad Rank formula where Quality Score (QS) acts as a direct financial multiplier on your Cost Per Click. A keyword with a Quality Score of 10 receives an algorithmic 50% discount on CPC, whereas a keyword with a Quality Score of 3 incurs a brutal 400% cost penalty. If you are struggling with inflated CPCs and low impression shares, repairing sub-par Quality Scores is the single fastest lever to restore account profitability.

1. Deconstructing the Quality Score Formula: The 3 Core Pillars

Quality Score is evaluated across three distinct sub-components, each rated as Above Average, Average, or Below Average:

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  • Expected Click-Through Rate (eCTR) [~39% Weight]: The likelihood that your ad will be clicked when shown for the search query, normalized for ad position and device.
  • Ad Relevance [~22% Weight]: How closely your Responsive Search Ad (RSA) headlines and descriptions match the specific user search intent.
  • Landing Page Experience [~39% Weight]: Page load latency (Core Web Vitals), mobile responsiveness, navigational clarity, and semantic content relevance to the query.

2. Recovery Step 1: Fixing "Below Average" Ad Relevance

When Ad Relevance is Below Average, it indicates ad group bloating (dumping 40+ unrelated keywords into one ad set). To resolve this:

  1. Implement Single-Intent Ad Groups (SIAGs): Group keywords strictly by core commercial intent (maximum 5 to 10 closely related exact and phrase match variants). Format your match types cleanly using our Keyword Match Type Tool.
  2. Pin Exact Queries in Position 1: In your Responsive Search Ad, pin a headline containing the exact target keyword phrase into Headline Position 1.
  3. Dynamic Keyword Insertion (DKI): Use the syntax {KeyWord:Default Text} in Headline 2 to dynamically reflect the user's precise search phrasing.

3. Recovery Step 2: Fixing "Below Average" Expected CTR

Expected CTR measures how compelling your ad appears compared to competing advertisers on the page:

  • Deploy All 10+ Ad Assets (Extensions): Sitelinks with enhanced descriptions, Callouts, Structured Snippets, Call Assets, and Image Assets increase physical ad pixel footprint by 40%, lifting CTR.
  • Include Concrete Numerical Proof: Ads containing specific numbers (e.g., "Save $420 Today" or "99.4% Client Satisfaction") consistently outperform generic claims like "Best Quality Service".

4. Recovery Step 3: Fixing "Below Average" Landing Page Experience

Googlebot renders your landing page using a headless mobile browser to evaluate technical and editorial experience:

  • Match H1 Headline with Ad Query: The primary H1 of the landing page must mirror the exact search intent of the ad within the first 3 seconds of viewing.
  • Optimize Interaction to Next Paint (INP) & LCP: Keep Largest Contentful Paint under 2.2 seconds and Interaction to Next Paint under 200ms by deferring unneeded third-party scripts.
  • Zero Aggressive Interstitials: Remove intrusive popups that block content access immediately upon mobile load.

Frequently Asked Questions: Google Ads Quality Score

How long does it take for Quality Score to update after making fixes?

Quality Score is calculated in real time during every auction. However, the reported 1-to-10 metric in Google Ads reporting updates gradually after the keyword logs approximately 100 to 500 fresh impressions under the improved ad copy and landing page.

Does Quality Score matter in Performance Max campaigns?

While Google does not report a 1-to-10 Quality Score metric inside PMax, the underlying mathematical principles (ad relevance, historical CTR, and landing page quality) are fully active inside the PMax machine learning bidding engine.

SN

Subhranil Naskar

Founder & Lead Performance Strategist
Kolkata, West Bengal, India

Subhranil is the Founder and Lead Performance Strategist at Paid Media World. With over 10 years of practitioner experience managing high-budget performance marketing infrastructure across Google Ads, Meta Ads (CAPI), and GA4 event attribution, he personally architects and audits deterministic paid media infrastructure, algorithmic portfolio bidding, and enterprise conversion architecture.

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