Documentation
Quality Score shows how keyword quality is distributed across your Google Ads account after weighting each score by impressions. Use it to understand account health at a glance, identify which campaigns or ad groups are dragging quality down, pinpoint whether the problem is your landing page, your ads, or your expected click-through rate, and decide which improvements deserve attention first.
- Best for
- Search account health, quality diagnostics, and prioritizing high-impact fixes
- Scoring method
- Impression-weighted Quality Score (0 to 10)
- Core components
- Expected CTR, Ad Relevance, and Landing Page Experience
- Data refresh
- Daily keyword-level pull from the Google Ads API
- Analysis levels
- Search term, ad group, campaign, and account
#What Quality Score measures
Google assigns every keyword a Quality Score from 1 to 10 based on how well your keyword, ad, and landing page match what a user is searching for. A higher score signals stronger relevance and typically leads to better ad rank, lower cost-per-click, and more impression share.
Adnine's Quality Score view takes that keyword-level data and builds a weighted account-health dashboard. Instead of averaging every keyword equally, it gives more influence to keywords that earn more impressions, because those keywords affect more auctions, more users, and more of your budget. The result is a score that reflects the quality experience your traffic actually sees.
Three questions it answers
Where is quality weak?
Start at account or campaign level, then drill into the ad groups and keywords that contribute the most impressions to the weak score.
Why is it weak?
Compare Expected CTR, Ad Relevance, and Landing Page Experience to see which component is pulling the score down.
What should you fix first?
Prioritize low-quality areas with meaningful impression volume, spend, or strategic importance, not just the lowest raw score.
#The three Quality Score components
Google evaluates every keyword on three diagnostic components. Each is rated Above average, Average, or Below average. Together, they tell you exactly why a keyword has a low score and which area needs work.
Component reference
Use the overall score to find the problem area, then use the component to choose the right kind of fix.
| Component | What Google measures | What a weak rating means | Where to start improving |
|---|---|---|---|
| Expected CTR | How likely users are to click your ad compared to other ads serving for the same keyword. | Your ad is less compelling than competing ads in the same auction context. | Rewrite headlines to mirror the search intent, sharpen the value proposition, test clearer calls to action, and review SERP competitors. |
| Ad Relevance | How closely your keyword, ad copy, and ad group theme match each other. | Your ad group may mix different intents, or your ads do not reflect the user's search closely enough. | Tighten ad group themes, align keyword and ad copy language, review RSA asset coverage, and split mixed-intent groups. |
| Landing Page Experience | How useful, relevant, and trustworthy the destination page is for users clicking your ad. | The page may not match the ad promise, load slowly, or lack the content users expect based on their query. | Match page headline and content to the ad and keyword, improve load speed, check mobile usability, and verify the conversion path. |
Diagnosing combined weaknesses
| Pattern | Likely root cause | Recommended next check |
|---|---|---|
| Only Expected CTR is weak | The keyword-ad-page alignment is there but the ad is not winning clicks in the auction. | Compare your ad against search results for that query. Test stronger headlines and benefit language. |
| Only Ad Relevance is weak | The ad group theme is too broad or the ad copy does not reflect the keyword closely enough. | Check whether keywords in the ad group share one clear intent. Review RSA asset relevance scores. |
| Only Landing Page Experience is weak | The destination page may be off-topic, slow, or missing content the user expects. | Map keyword intent to the landing page headline and primary offer. Run a page speed and mobile check. |
| Two or all three components are weak | The keyword, ad, and page are misaligned as a system. | Ask whether the keyword belongs, whether it needs its own ad group, and whether a dedicated page is needed. |
#How impression weighting works
A simple average treats a keyword with 10 impressions the same as one with 100,000. An impression-weighted average reflects reality: high-traffic keywords affect more users, more auctions, and more of your ad spend. Adnine multiplies each keyword's Quality Score by its impressions, sums those products, and divides by total impressions to produce the weighted score for any rollup level.
Weighted vs. unweighted reading
| View | What it answers | Risk if used alone |
|---|---|---|
| Simple keyword average | What is the raw average score across all keywords? | Hundreds of low-volume keywords can make the account look worse or better than the real traffic experience. |
| Impression-weighted score | What quality level did most impressions actually experience? | Important long-tail keywords with low volume can be hidden if they matter strategically but have little impression share. |
| Component distribution | Which quality factor is responsible for the weak score? | Component labels need page, ad, and query context before you can determine the right action. |
| Trend over time | Is quality improving, declining, or stable after account changes? | Day-to-day movement can be noisy when impression volume is low or when the query mix changes. |
#Reading the dashboard
Start with the overall weighted score for the selected scope, then immediately open the component breakdown. A low score without component context tells you quality is weak; the components tell you what kind of fix to investigate.
Dashboard signals and what to do
| Signal | How to interpret it | Recommended action |
|---|---|---|
| Weighted score is low account-wide | High-volume keywords across multiple campaigns may have quality problems. | Open the component breakdown, then sort campaigns by impressions to find the biggest contributors. |
| Score drops suddenly on a specific date | A landing page change, ad copy edit, keyword restructure, or tracking issue may have affected quality. | Cross-reference the trend date with recent launches, page edits, campaign changes, and budget shifts. |
| Score improves while impressions fall | Low-quality traffic may have been removed, or high-volume areas may have lost reach. | Check impression share, bids, budgets, and whether the improvement reflects healthier traffic or reduced coverage. |
| Landing Page Experience is the weakest component | Users may not be landing on a page that matches the query or the ad promise. | Review top landing pages for relevance, load quality, message match, and conversion path issues. |
| Ad Relevance is the weakest component | Keywords and ads may not share a clear theme across the ad group. | Review ad group structure, keyword-to-ad alignment, and RSA headline coverage. |
| Expected CTR is the weakest component | The ads may not be compelling enough to win clicks in the auction context. | Review search intent, headlines, descriptions, extensions, and how competitor ads look in results. |
#Recommended workflow
- Select the account and date range Use a recent window with enough impressions to make the weighted score meaningful. For trend analysis, choose a window that spans a known account change.
- Read the weighted score at account level Use this as the headline health metric. Decide whether quality is a broad issue or limited to a few campaigns before drilling further.
- Open the component breakdown Identify whether Expected CTR, Ad Relevance, or Landing Page Experience is the primary weakness. One weak component tells you the category of fix needed.
- Drill into campaigns and ad groups Sort by impressions so the highest-impact rows appear first. Look for ad groups where the weak component aligns with high impression volume.
- Review query, keyword, ad, and page alignment Check whether the search intent, keyword, ad copy, and destination page all tell the same story. Misalignment at any step explains most Quality Score problems.
- Choose and execute the improvement Rewrite ads, tighten ad group structure, improve the landing page, map traffic to a better destination, or flag low-volume issues for later cleanup.
- Measure the trend after changes Return after the daily data refreshes. Compare the weighted score, component mix, impressions, CTR, CPC, conversions, and CPA against the pre-change baseline.
#Prioritizing opportunities
Quality Score work is most useful when it changes outcomes, not just dashboard numbers. Combine quality diagnostics with volume and business context to find the changes worth making.
Opportunity priority guide
| Opportunity | Why it matters | Typical action |
|---|---|---|
| High impressions and low weighted score | Many users are seeing ads from a weak-quality area, which may be inflating CPC or reducing impression share. | Open the component breakdown and fix the weakest component first. |
| Weak Landing Page Experience on high-value keywords | Important intent is sending users to a page that may not match the ad promise. | Improve message match, page relevance, load speed, content depth, and conversion path. |
| Weak Ad Relevance in a mixed ad group | The ad group may be serving too many different intents with the same ads. | Split themes, tighten keyword grouping, rewrite RSA assets, or map to a more relevant page. |
| Weak Expected CTR with strong Ad Relevance | The offer is relevant but not compelling enough to win clicks in the auction. | Test stronger headlines, clearer benefits, proof points, and extensions. |
| Score declines after a known change | A recent launch may have hurt relevance, page experience, or click appeal. | Compare before and after dates, then identify the exact campaigns and ad groups affected. |
| Low score but very low impression volume | The problem exists but may not deserve immediate work given the limited reach. | Monitor, group with similar issues, or address during a broader cleanup cycle. |
- Impact: impressions, clicks, cost, conversions, conversion value, and strategic keyword importance.
- Confidence: enough recent data to trust the signal, especially when reading component trends.
- Control: whether your team can realistically change the ad copy, account structure, or landing page.
- Risk: whether the fix could affect brand terms, core revenue campaigns, or a live landing page.
Apply these filters together. The best first target is usually a campaign or ad group that scores low on one component, has high impression volume, and sits in an area where your team has clear control over the ad, the structure, or the page.
#Limitations and pitfalls
Quality Score is a Google Ads search diagnostic, not a universal performance grade. Use it alongside business outcomes and campaign context.
What to keep in mind
| Limitation | What it means | How to handle it |
|---|---|---|
| Data updates daily, not in real time | Recent edits to ads or landing pages will not appear in the score immediately. | Wait for the next daily refresh before judging whether a change improved quality. |
| Search campaigns only | Quality Score is tied to keyword-level Google Ads data and does not apply to Performance Max, Shopping, or display campaigns. | Use other Adnine views for non-keyword campaign types. |
| Low-volume keywords may lack reliable data | Newly added or rarely triggered keywords may not have enough history to support confident conclusions. | Apply minimum-impression filters and monitor until the signal matures. |
| Weighted views can hide niche issues | Low-volume keywords contribute little to the weighted score even when their individual score is poor. | Run targeted checks for brand terms, launch keywords, and strategically important long-tail themes. |
| Components describe categories, not prescriptions | Landing Page Experience, Ad Relevance, and Expected CTR point toward likely problem areas but do not prescribe a single fix. | Validate with actual query, keyword, ad, and page context before acting. |
| Quality Score is not profit | A higher score can improve auction efficiency, but it does not guarantee stronger CPA, ROAS, or revenue. | Pair Quality Score diagnostics with conversion and value metrics before prioritizing work. |
#Best practices
- Start at account or campaign level to understand the scope, then drill into ad groups and search-term context before changing anything.
- Prioritize low scores with high impressions, meaningful spend, or strategically important keywords.
- Use the component breakdown to choose the right fix: page work, ad copy work, structural cleanup, or CTR testing.
- Compare Quality Score movement with CTR, CPC, impression share, conversions, CPA, ROAS, and conversion value.
- Annotate major ad launches, landing page releases, budget shifts, and keyword restructures when reviewing trends.
- Avoid reacting to single-day movement unless impression volume is high and the change aligns with a known account event.
- Treat high scores as a strength to protect, not a reason to stop monitoring economics and conversion quality.
- Document fixes and revisit the dashboard after the daily refresh has had enough time to reflect the change.
#Frequently asked questions
Why does Adnine weight Quality Score by impressions instead of showing a simple average?
A simple average treats a keyword with 10 impressions identically to one with 100,000. Impression weighting reflects the quality that most of your traffic actually experienced. It makes the score more actionable because it focuses your attention on keywords that are affecting real users and real budget.
What does a Quality Score of 1 to 3 mean compared to 7 to 10?
Google does not publish exact thresholds, but scores in the 1 to 4 range typically indicate meaningful relevance or click-appeal problems. Scores of 7 to 10 indicate above-average quality for that keyword's auction context. A score of 6 is roughly average. Adnine's weighted view tells you the share of impressions your account is delivering at each quality level.
How quickly does the score update after I change an ad or landing page?
Adnine pulls keyword-level data daily from the Google Ads API. Google itself takes time to re-evaluate quality after changes. Expect at least a few days of data before drawing conclusions about whether an improvement worked.
Can Quality Score data cover my Performance Max or Shopping campaigns?
No. Quality Score is a Google Ads concept tied to keyword-based Search campaigns. Performance Max, Shopping, Display, and other campaign types do not have keyword-level Quality Scores. Use other Adnine views for those campaign types.
If my weighted score is improving, does that mean my campaigns are performing better?
Not necessarily. An improving score can indicate better relevance and auction efficiency, but it does not guarantee better CPA, ROAS, or revenue. Always correlate score movement with conversion metrics and business outcomes before concluding that performance has improved.
Which component should I fix first if multiple are weak?
Start with Landing Page Experience if the page does not match the ad promise, as it often affects all three components indirectly. If the page is solid, address Ad Relevance next by tightening ad group themes. Fix Expected CTR last, through headline and copy testing, once structural and page issues are resolved.
Can a low Quality Score on a few keywords hurt my whole account's weighted score?
Only if those keywords have high impression volume. A handful of low-scoring keywords with thousands of impressions can significantly pull down the weighted account score. That is exactly why Adnine uses impression weighting: so you can see which low scores actually matter.
Should I pause or remove keywords with a Quality Score of 1 or 2?
Not automatically. First check impression volume, conversion history, and strategic value. A keyword with a score of 2 but zero impressions and no spend is not harming performance. A keyword with a score of 2 and high spend may warrant restructuring, a dedicated landing page, or removal, but that decision should be driven by performance data, not the score alone.