Improving Facebook Ads Relevance Diagnostics: Fixing 'Below Average' Quality (2026)

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Google has Quality Score.
Meta has Ad Relevance Diagnostics.
It is not the same thing.
But it plays a similar role.
It helps you understand whether your ad is likely to compete well against other ads targeting the same audience.
That matters because Meta is an auction.
You are not only competing with your direct competitors.
You are competing with every advertiser trying to reach the same person.
A gym.
A fashion brand.
A software company.
A local restaurant.
A travel agent.
A finance app.
A creator selling a course.
All of them may want the same impression.
Meta needs to decide which ad deserves it.
The winning ad is not always the highest bid.
The winning ad is usually the ad with the best mix of:
- Bid.
- Estimated action rate.
- Ad quality.
- User experience.
- Relevance.
- Expected value for the person and advertiser.
This is why relevance matters.
A better ad can often buy attention more efficiently.
A poor ad usually pays more for the same attention.
Meta’s relevance diagnostics help you understand where the ad is weak.
The three diagnostics are:
- Quality Ranking
- Engagement Rate Ranking
- Conversion Rate Ranking
Meta says these diagnostics help diagnose underperforming ads across quality, engagement and conversion. Meta also says advertisers should optimise for their business objectives, not for the diagnostic rankings alone. (Meta Business Help)
That point is important.
Do not chase a green score for pride.
Use the score to fix the business problem.
In this "Mega-Authority" guide, we cover:
- Quality Ranking: The visual, trust and creative quality signal.
- Engagement Rate Ranking: The hook, interaction and interest signal.
- Conversion Rate Ranking: The offer, landing page and post-click signal.
- The Matrix: How to diagnose the mix.
The goal is simple.
Spend less time guessing.
Spend more time fixing the right problem.
Part 1: Quality Ranking (The "Stop" Signal)
Quality Ranking measures how your ad’s perceived quality compares with ads competing for the same audience.
Meta says quality ranking is based on perceived quality compared with ads competing for the same audience. (Meta Business Help)
In plain English:
Does this ad look trustworthy enough to deserve attention?
This is not only about design.
It is about how the ad feels in the feed.
Does it look native?
Does it look spammy?
Does it look misleading?
Does it look low effort?
Does it look like bait?
Does it look like something users want to avoid?
Quality Ranking is the first filter.
If the ad feels cheap, people do not stop.
If the ad feels aggressive, people do not trust it.
If the ad feels fake, people do not act.
What Causes Below Average Quality Ranking?
Common causes:
- Stock photos.
- Low-resolution images.
- Over-designed graphics.
- Too much text on the image.
- Misleading hooks.
- Before-and-after claims that feel exaggerated.
- Clickbait.
- Overly aggressive sales language.
- Fake urgency.
- Poor cropping.
- Bad lighting.
- Unnatural UGC.
- AI-looking creative with no human feel.
- Recycled ads shown too many times.
- Creative that looks unrelated to the offer.
A low Quality Ranking often means the ad is losing trust before the user even reads the full copy.
How To Fix Below Average Quality Ranking
Fix the first impression.
Use:
- Real product imagery.
- Real people.
- Native-looking video.
- Strong first frame.
- Clean product demonstration.
- Clear visual hierarchy.
- Fewer text overlays.
- Better lighting.
- Better crop for placement.
- Less hype.
- More proof.
- Clear brand presence.
- Honest messaging.
- Platform-native editing.
- Better creative variety.
Better Creative Direction
Instead of:
LIMITED TIME DEAL!!! BUY NOW!!!
Use:
A simple way to make better matcha at home.
Instead of:
This changed my life overnight.
Use:
I tried this for 7 mornings. Here is what changed.
Instead of:
Best skincare product ever.
Use:
A gentle serum for people who want a simpler routine.
Quality is not about being polished.
It is about being believable.
UGC Warning
UGC does not automatically mean high quality.
Bad UGC is everywhere.
It can look forced.
It can sound scripted.
It can feel fake.
Good UGC should feel:
- Specific.
- Natural.
- Honest.
- Useful.
- Human.
- Clear.
- Relevant.
- Easy to watch.
If a creator sounds like they are reading a brand deck, users will know.
Part 2: Engagement Rate Ranking (The "Click" Signal)
Engagement Rate Ranking measures how your ad’s expected engagement compares with ads competing for the same audience.
Meta says engagement rate ranking compares your ad’s expected engagement rate with ads competing for the same audience. (Meta Business Help)
Engagement can include actions such as reactions, comments, shares, clicks and other interactions depending on format and objective.
In plain English:
Do people care enough to interact?
A high-quality ad can still have weak engagement.
It may look good.
But it may not create a reason to act.
That is common with pretty brand ads.
They look nice.
They say nothing urgent.
They make no clear promise.
The user scrolls.
What Causes Below Average Engagement Rate Ranking?
Common causes:
- Weak hook.
- Slow opening.
- No clear problem.
- No product demonstration.
- Too much brand intro.
- Boring first frame.
- Generic copy.
- No curiosity.
- No emotional trigger.
- No clear benefit.
- Wrong audience.
- Creative fatigue.
- Repeated angle.
- No CTA.
- Offer not obvious.
The ad might look fine.
But it does not make anyone do anything.
How To Fix Below Average Engagement Ranking
Fix the reason to engage.
Use stronger hooks.
Better examples:
Most people make matcha wrong for one simple reason.
Here is how I stopped wasting 20 minutes every morning.
If your hotel website gets traffic but no bookings, check this first.
Three signs your Google Ads are attracting the wrong leads.
I tested this tea routine for one week.
The hook should answer one question:
Why should someone stop scrolling now?
Improve The First 3 Seconds
For video, the first 3 seconds matter.
Do not open with:
- Logo animation.
- Long intro.
- Empty scene.
- Slow pan.
- Vague lifestyle shot.
- Creator saying "Hey guys" with no point.
Open with:
- Problem.
- Result.
- Demonstration.
- Pattern interrupt.
- Specific claim.
- Strong visual.
- Useful promise.
- Question.
- Contrast.
- Before state.
Example:
Bad: "Hi everyone, today I want to talk about this tea brand."
Good: "This is the tea I drink when I want to switch off at night."
Engagement Is Not Always Good
Be careful.
High engagement is not always good.
A controversial ad may get comments.
A misleading ad may get clicks.
A meme may get shares.
But if nobody buys, it is not a winner.
Do not optimise only for engagement.
Use engagement as a diagnostic.
Then judge by business results.
Part 3: Conversion Rate Ranking (The "Buy" Signal)
Conversion Rate Ranking measures how your ad’s expected conversion rate compares with ads that have the same optimisation goal and compete for the same audience.
Meta says conversion rate ranking compares your ad’s expected conversion rate against ads with the same optimisation goal competing for the same audience. (Meta Business Help)
In plain English:
After people see or click this ad, are they likely to complete the action?
This is where the truth often appears.
An ad can be beautiful.
An ad can get clicks.
But if people do not buy, enquire, subscribe or book, the campaign still fails.
Conversion Rate Ranking is not only about the ad.
It can reflect the whole journey:
- Offer.
- Price.
- Trust.
- Landing page.
- Page speed.
- Checkout.
- Form friction.
- Message match.
- Product fit.
- Audience fit.
What Causes Below Average Conversion Rate Ranking?
Common causes:
- Weak offer.
- Expensive product with no trust.
- Slow landing page.
- Landing page does not match ad.
- Hidden price.
- Poor product page.
- Long form.
- Confusing checkout.
- Wrong conversion event.
- Too broad audience.
- Poor retargeting sequence.
- No social proof.
- Bad mobile experience.
- Shipping surprise.
- Payment friction.
Message Match
Message match is one of the fastest fixes.
If the ad says:
50% Off Sleep Tea Bundle
The landing page must say:
50% Off Sleep Tea Bundle
Above the fold.
Not hidden.
Not only at checkout.
Not buried in a banner.
If the ad promises one thing and the page shows another, the user hesitates.
Hesitation kills conversion.
Landing Page Speed
Meta users are mobile-first.
If the landing page takes too long, the click is wasted.
Check:
- Mobile load speed.
- Image weight.
- Theme bloat.
- Pop-ups.
- Cookie banner.
- Checkout load.
- App scripts.
- Payment methods.
- Product page layout.
- CTA visibility.
A strong ad cannot save a slow site forever.
Offer Strength
Sometimes the ad is not the issue.
The offer is.
If competitors offer:
Free delivery
and you charge delivery late in checkout, conversion rate suffers.
If competitors offer:
Free consultation
and you ask people to fill out a long form first, conversion rate suffers.
If competitors offer:
Try before you buy
and you ask for full commitment upfront, conversion rate suffers.
Conversion diagnostics should force you to ask:
Is this offer good enough for this audience?
Part 4: The Diagnostic Matrix
The power of relevance diagnostics is in the combination.
Do not read each metric in isolation.
Read the pattern.
Scenario A: Low Quality / Low Engagement / High Conversion
Diagnosis:
The ad looks weak and does not attract many people, but the people who do click are buying.
This often means:
- The offer is strong.
- The audience is right.
- The product solves a real need.
- The creative is limiting scale.
- The ad looks worse than the business really is.
Action:
Keep the offer.
Improve the creative.
Test:
- Better visuals.
- Better first frame.
- Better creator video.
- Better product demo.
- Cleaner design.
- More trust signals.
- More native format.
Do not kill the offer.
Fix the packaging.
Scenario B: High Quality / High Engagement / Low Conversion
Diagnosis:
The ad is attractive and engaging, but it does not sell.
This often means:
- The creative is entertaining but not persuasive.
- The product is not clear enough.
- The landing page is weak.
- The offer is not strong.
- The audience is too broad.
- The ad creates curiosity clicks.
- The message attracts the wrong people.
Action:
Make the product the hero.
Fix the landing page.
Clarify the CTA.
Strengthen the offer.
Add proof.
Reduce friction.
Scenario C: Average / Average / Average
Diagnosis:
The ad is not broken.
But it is not special.
It is probably safe, generic and forgettable.
Action:
Test a sharper angle.
Try:
- Stronger pain point.
- Better proof.
- Better demonstration.
- Stronger creator.
- More specific audience.
- New format.
- Different offer.
- Clearer promise.
Average is not a crisis.
But average rarely scales efficiently.
Scenario D: Low Quality / High Engagement / Average Conversion
Diagnosis:
Clickbait risk.
People engage, but Meta may perceive low quality.
This can happen with:
- Sensational hooks.
- Exaggerated claims.
- Misleading before-and-after.
- Controversial statements.
- Cheap-looking creative.
- Bait comments.
Action:
Keep the curiosity.
Remove the cheapness.
Make the claim more truthful.
Align hook with actual offer.
Scenario E: High Quality / Low Engagement / High Conversion
Diagnosis:
Trust is strong.
Conversion is strong.
But the hook is weak.
The ad may be too calm for cold audiences.
Action:
Improve the first line and first frame.
Do not rebuild the whole funnel.
Test:
- Problem-led hook.
- Result-led hook.
- Demonstration-led hook.
- Comparison hook.
- Myth-busting hook.
Scenario F: Low Quality / Low Engagement / Low Conversion
Diagnosis:
Everything is broken.
The ad does not stop people.
It does not create interest.
It does not convert.
Action:
Do not tweak.
Rebuild.
New angle.
New creative.
New offer.
Possibly new audience.
Part 5: Summary & Checklist
Relevance diagnostics are a report card.
But they are not the final grade.
The final grade is business performance.
Meta itself says to optimise for your advertising objectives, not for quality ranking, engagement rate ranking or conversion rate ranking alone. (Meta Business Help)
Use the diagnostics to find the weak link.
Then fix the weak link.
Your Action Plan:
- Filter your ads by active ads.
- Add the three relevance diagnostic columns.
- Sort by spend.
- Prioritise ads with below average rankings and meaningful spend.
- Iterate based on the specific failing metric.
Here is the deeper checklist:
- Add Quality Ranking.
- Add Engagement Rate Ranking.
- Add Conversion Rate Ranking.
- Review only ads with enough impressions.
- Sort by spend.
- Identify bottom 20% or bottom 10% issues.
- Diagnose the pattern.
- Fix one issue at a time.
- Do not chase diagnostics over profit.
- Re-test after changes.
Do not ignore the report card.
But do not worship it either.
Use it.
The 3×3 Diagnostic Matrix
The three relevance diagnostics can each be:
- Above average.
- Average.
- Below average.
That creates many combinations.
Here are the most common states and what to do.
| Quality | Engagement | Conversion | Diagnosis | Action |
|---|---|---|---|---|
| Below Avg | Below Avg | Below Avg | Everything is broken | Rebuild creative, offer and possibly audience |
| Below Avg | Average | Average | Ad looks low-trust or spammy | Improve visuals, remove hype, add proof |
| Average | Below Avg | Average | Creative is not compelling | Improve hook, first frame and CTA |
| Average | Average | Below Avg | Funnel breaks after the click | Audit landing page, speed, offer and message match |
| Above Avg | Below Avg | Below Avg | Trust is fine, but interest and action are weak | Test new angles and stronger offer |
| Above Avg | Above Avg | Below Avg | People like it but do not buy | Fix landing page, price, offer and conversion flow |
| Below Avg | Above Avg | Average | Clickbait or controversial creative | Align creative with the real offer and reduce sensationalism |
| Average | Above Avg | Above Avg | Healthy ad | Scale carefully and test new audiences |
| Above Avg | Above Avg | Above Avg | Strong winner | Protect post ID, scale and build variations |
The most dangerous state is:
Below Average Quality + Above Average Engagement
This can look exciting at first.
High comments.
High clicks.
Good surface-level engagement.
But if the ad feels cheap or misleading, performance can degrade.
The algorithm may still deliver for a while.
But trust is weak.
Users may click for the wrong reason.
The comment section may get messy.
The brand may suffer.
Clickbait can win the first day and lose the month.
How To Add The Columns
In Meta Ads Manager:
- Go to Ads Manager.
- Open the Ads tab.
- Click Columns.
- Choose Customise columns.
- Search for "ranking".
- Add:
- Quality Ranking
- Engagement Rate Ranking
- Conversion Rate Ranking
- Save as a preset.
- Apply the preset.
Use this preset every week.
Review at ad level.
Not just campaign level.
A campaign can contain one winner and five weak ads.
Do not average away the truth.
How To Prioritise Fixes
Do not fix every ad.
Fix the ads that matter.
Prioritise by:
- Spend.
- Active delivery.
- Conversion impact.
- Bottom 10% or bottom 20% rankings.
- Strategic importance.
- Creative fatigue.
- Scaling potential.
Ignore ads that spent £3.
Focus on ads that spent real money.
Priority Order
- Bottom 10% with high spend.
- Bottom 20% with high spend.
- Below Average conversion ranking with high clicks.
- Below Average quality ranking with high frequency.
- Below Average engagement ranking with low CTR.
Why?
Because these are the ads costing you the most.
Fixing Below Average Quality Ranking
Use this checklist.
Creative Quality
Check:
- Is the image sharp?
- Is the video clear?
- Is the crop correct?
- Is the first frame strong?
- Is the text readable?
- Does it look native?
- Does it feel trustworthy?
- Does it show the product clearly?
- Does it avoid exaggerated claims?
- Does it avoid cheap design?
Trust Signals
Add:
- Real customer quotes.
- Review stars where allowed.
- Real product use.
- Founder or team presence.
- Clear branding.
- Before context without misleading claims.
- Demonstration.
- Proof points.
- Guarantees where real.
- Better lighting and audio.
Remove
Remove:
- Aggressive all caps.
- Fake urgency.
- Misleading hooks.
- Overloaded graphics.
- Stock photos.
- Claims without proof.
- Excessive emojis.
- Clutter.
- Tiny text.
- Generic "limited offer" banners.
Quality is the trust layer.
Fix that first.
Fixing Below Average Engagement Rate Ranking
Use this checklist.
Hook
Ask:
- Does the first line create curiosity?
- Does the first frame show the problem or result?
- Is there a reason to keep watching?
- Is the benefit obvious?
- Is the product introduced early enough?
- Is the ad too slow?
- Is the first sentence generic?
- Does the visual stand out?
- Is the copy specific?
- Does the CTA make sense?
Strong Hook Types
Use:
- Problem hook.
- Result hook.
- Demonstration hook.
- Myth hook.
- Comparison hook.
- Mistake hook.
- Tutorial hook.
- Founder story hook.
- Customer quote hook.
- Before-state hook.
Examples:
You do not need more leads. You need better follow-up.
Most matcha tastes bitter because of this one mistake.
If your ads get clicks but no sales, check this page first.
This is why your hotel website gets traffic but no bookings.
Specific beats generic.
Format Tests
Test:
- Static image.
- Carousel.
- UGC video.
- Founder video.
- Product demo.
- Customer testimonial.
- Native Reel.
- Before and after explanation where policy allows.
- Problem-solution video.
- Comparison creative.
Do not assume one format wins forever.
Creative fatigue changes the answer.
Fixing Below Average Conversion Rate Ranking
Use this checklist.
Landing Page
Check:
- Does the page load fast?
- Does the headline match the ad?
- Is the offer visible above the fold?
- Is the CTA clear?
- Is the price visible or explained?
- Are reviews visible?
- Is the form too long?
- Is checkout smooth?
- Are shipping costs clear?
- Does the mobile page work properly?
Offer
Ask:
- Is the offer strong enough?
- Is the price competitive?
- Is there a guarantee?
- Is there proof?
- Is there urgency?
- Is there free delivery?
- Is there a bundle?
- Is there a first-order incentive?
- Is the product explained?
- Is the next step easy?
Audience
Sometimes conversion ranking drops because the wrong people are seeing the ad.
Check:
- Audience too broad.
- Retargeting too old.
- Lookalike too weak.
- Poor seed audience.
- Wrong geography.
- Wrong language.
- Wrong funnel stage.
- Wrong optimisation event.
- Too much prospecting spend.
- Existing customers not excluded where needed.
Tracking
Check:
- Pixel firing.
- Conversions API.
- Event deduplication.
- Correct conversion event.
- Value and currency.
- Purchase event.
- Lead event.
- Domain verification.
- Consent mode where relevant.
- Event match quality.
Do not blame the landing page before checking tracking.
Frequency and Fatigue
Relevance diagnostics can fall when people see the same ad too often.
A good ad becomes stale.
The audience gets bored.
CPM rises.
CTR falls.
Comments slow down.
Conversion rate drops.
Fatigue Signals
Watch:
- Frequency rising.
- CTR falling.
- CPM rising.
- CPA rising.
- Engagement ranking falling.
- Quality ranking falling.
- Negative comments increasing.
- Conversion rate falling.
- Thumbstop rate falling.
- Spend shifting away from the ad.
Refresh Strategy
Do not throw away the winner.
Remix it.
Change:
- First 3 seconds.
- Opening line.
- Thumbnail.
- Text overlay.
- CTA.
- Creator.
- Setting.
- Music.
- Product angle.
- Proof point.
Keep the winning psychology.
Refresh the packaging.
Final Rule
Meta is giving you clues.
Quality Ranking tells you if the ad feels trustworthy.
Engagement Rate Ranking tells you if people care.
Conversion Rate Ranking tells you if the journey sells.
When one is below average, fix the specific weakness.
When all three are below average, rebuild.
When all three are strong, scale carefully and make variations before fatigue arrives.
The best advertisers do not guess.
They diagnose.
Then they improve.
Next Best Step
Where to go from here

About the Author
Performance marketing specialist with 6 years of experience in Google Ads, Meta Ads, and paid media strategy. Helps B2B and Ecommerce brands scale profitably through data-driven advertising.
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