Quality Score is the single most misunderstood lever in Google Ads for Indian advertisers. Most brands know it exists. Very few know exactly how much it costs them when it's low — or precisely what to do to fix it. This guide is the practical version: diagnosis, fixes, and the specific India-market adjustments that generic QS guides don't cover.
Google's own documentation confirms that Quality Score affects your Ad Rank directly, and that higher Ad Rank translates to lower CPCs through the auction mechanism. According to Google Ads Help, a QS of 10 gives you up to 50% discount on your first-page CPC. A QS of 4 adds up to 50% premium. That's a 100% swing in your per-click cost for the exact same keyword — entirely determined by factors you control.
In India's competitive categories (insurance, real estate, education, consumer electronics, personal loans), where CPCs already range from ₹15 to ₹180 per click, the CPC impact of low Quality Score is measured in lakhs per month for accounts spending at scale.
How Quality Score Is Actually Calculated
Quality Score is a composite of three components, each rated "Below Average", "Average", or "Above Average":
- Expected Click-Through Rate (CTR): ~65–70% of QS impact. Google's prediction of how often your ad will be clicked when shown, compared to other ads in the same auction.
- Ad Relevance: ~15–20% of QS impact. How closely your ad copy matches the intent of the search query.
- Landing Page Experience: ~15–20% of QS impact. How relevant and useful Google judges your landing page to be for someone who clicked your ad.
The most important insight from this breakdown: expected CTR drives more than half the QS calculation. This means the most powerful QS fix is improving your headline-keyword relevance so that your ad generates higher CTR signals over time — not just rewriting landing pages, which many guides overemphasise.
Diagnosing Your Quality Score Issues
Before fixing, diagnose. In Google Ads, navigate to Keywords > Columns > Modify Columns > Quality Score and add QS, Expected CTR, Ad Relevance, and Landing Page Experience to your keyword view. Export this to a spreadsheet and sort by spend. You are looking for high-spend keywords with QS below 7.
The most common QS diagnosis patterns in Indian accounts:
Pattern 1: Below Average Ad Relevance on Most Keywords
This usually means keywords and ad copy are misaligned. A common cause in Indian accounts is over-relying on broad match keywords with single ad groups. A keyword like "insurance" triggering an ad for "best term life insurance plans" has poor ad relevance because the search intent is too vague. Fix: tighter ad groups, more specific keyword-to-headline matching.
Pattern 2: Below Average Landing Page Experience Across the Account
This is almost always a page speed issue in Indian markets. Google's PageSpeed data shows that the average Indian mobile landing page takes 8.7 seconds to load — far above the 3-second threshold where Google rates landing page experience positively. The second cause is content mismatch: the landing page doesn't contain the keyword the user searched for.
Pattern 3: Below Average Expected CTR on Specific Keywords
Low expected CTR usually means your ad has never won clicks at a competitive rate in this auction. For newer keywords or new ad copy, this component improves over time as you accumulate CTR data. For long-established low-CTR keywords, the ad copy needs structural changes.
Fix 1: Headline-Keyword Alignment (The Fastest QS Win)
Google expects to see the user's search query — or the closest possible match — in your headline 1. This is called Dynamic Keyword Insertion (DKI) when automated, but the manual version is simply ensuring every ad group has a headline that exactly mirrors the keyword theme.
For Indian accounts, this means creating tight Single Keyword Ad Groups (SKAGs) or close-variant ad groups for your highest-spend keywords. If you're bidding on "home loan EMI calculator Mumbai", your Headline 1 should be "Home Loan EMI Calculator Mumbai" or very close to it — not the generic "Best Home Loans in India".
- Headline 1: Mirror the exact keyword or intent. Include city/region for local intent keywords.
- Headline 2: Differentiation point. "EMI starts ₹X", "No Processing Fee", "Free Home Visit" — specifics that beat generic competitors.
- Headline 3: Call to action with urgency. "Apply in 10 Minutes", "Get Rate in 2 Min" — action-oriented, India-specific time frames.
- Description 1: Expand the value proposition with proof. "Trusted by 50,000+ Indians", "RBI-regulated", "ISO certified".
- Description 2: Address the primary objection. "Instant approval. No branch visit required." removes friction for digital-skeptic Indian consumers.
Fix 2: Mobile Landing Page Speed (The India-Specific Critical Fix)
India's mobile network conditions are unique. While 5G rollout is accelerating in metros, the majority of Google Search traffic in India still comes from 4G connections at varying signal strengths — in lift lobbies, on commuter trains, in Tier 2/3 city areas with inconsistent coverage. Google calibrates its landing page experience ratings against Indian network benchmarks, which means pages that perform adequately in Europe or the US may rate poorly when assessed against Indian mobile conditions.
The Google PageSpeed Insights tool (pagespeed.web.dev) scores your page against Lighthouse criteria with a "Mobile" test that closely approximates what Google sees when evaluating your landing page experience. Scores below 50 on mobile almost guarantee "Below Average" landing page experience in QS.
The most impactful speed fixes for Indian landing pages, in order of impact:
- Image compression: Most Indian brand landing pages have uncompressed images. Converting JPEGs to WebP and compressing to under 100KB per image typically saves 40–60% page weight.
- Remove or defer third-party scripts: Chat widgets, social proof plugins, and analytics tags that load synchronously block page render. Defer everything that doesn't affect above-the-fold content.
- Use a CDN with Indian edge nodes: AWS CloudFront, Cloudflare, and Akamai all have Indian edge nodes. Serving your landing page assets from a CDN reduces Time to First Byte dramatically for Indian traffic.
- Enable browser caching: Returning visitors (retargeting clicks) should load your page from cache. Ensure cache headers are set for static assets.
- Reduce redirects: Every redirect adds 150–300ms on a mobile Indian connection. Your ad URL should land directly on the final URL, not bounce through tracking redirects.
Fix 3: Ad Relevance and Keyword Intent Match
Ad relevance is rated "Below Average" when Google determines your ad text does not closely match the likely intent behind the search query. In Indian accounts, this most frequently happens when:
- A single ad group covers too many thematically distinct keywords
- Ad copy uses English while a significant portion of searchers use Hinglish or regional language terms
- The offer in the ad doesn't match the offer on the landing page
For Hinglish and regional language keywords — a growing share of Indian Google Search traffic — creating dedicated ad groups with Hinglish or regional copy can dramatically improve ad relevance ratings. A keyword like "insurance plan kya hai" should have an ad with "Insurance Plan Kya Hai?" in the headline, not the English equivalent.
According to Google's internal data shared at Think India 2024, regional language search queries in India grew by 38% year-over-year and now account for over 45% of total search volume. Ad copy that matches these queries natively shows significantly higher CTR and therefore higher expected CTR QS scores.
AdsSarthi's Google Ads intelligence automatically flags ad groups with ad relevance issues and recommends headline rewrites based on keyword-to-query match analysis. The platform surfaces these recommendations in a daily audit that takes 10 minutes to action. Learn more about how we help Indian advertisers improve QS systematically at our pricing page.
Fix 4: Negative Keywords and Query Sculpting
Low expected CTR is often driven not by bad ad copy but by irrelevant queries triggering your ads. If your ad for "personal loan India" is being triggered by queries like "personal loan fraud India" or "personal loan waiver news", your CTR will be low because the intent is entirely different from your offer. Google uses this CTR signal to calculate expected CTR on future auctions.
A robust negative keyword list is a QS intervention, not just a spend efficiency tool. Review your Search Terms report monthly and add negatives aggressively. For Indian accounts, common negative categories include:
- Job-seeking queries: "jobs", "career", "salary", "interview"
- News/information queries: "news", "latest", "2024 update", "government scheme"
- Review/comparison queries where you're not competitive: "vs", "alternative", "review" (unless you have specific comparison landing pages)
- DIY intent: "how to do", "yourself", "at home" (for service-based categories)
The Compound Effect of QS Improvement
QS improvement is not a one-time fix — it compounds. As your CTR improves through better ad copy, Google's expected CTR model updates, which improves your QS, which reduces your CPC, which allows you to bid on more keywords within budget, which generates more CTR data, which further improves QS. This virtuous cycle typically takes 4–6 weeks to show measurable CPC reduction in Indian accounts, but the accounts that work through the discipline consistently see 20–40% CPC reductions within 90 days.
Get a free audit to see a full Quality Score diagnostic across your Google Ads account, with prioritised recommendations for the keywords where QS improvement will have the highest spend impact.