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Discover the significance of Meta Ads' relevance score, a critical metric that evaluates ad performance through quality, engagement, and conversion rankings. Learn how to use these diagnostics to improve campaigns and reduce costs, while avoiding common pitfalls in ad strategy.

Relevance Score is a metric that was previously used by Meta (Facebook) Ads to indicate how well your ad resonates with your target audience. It ranged from 1 to 10, with higher scores meaning your ad was more relevant (and more likely to perform well).
In 2019, Meta retired Relevance Score and replaced it with three granular diagnostics:
Together, these scores now provide a more detailed view of how your ad compares to others competing for the same audience.
But “relevance score” still lives on in conversation — as a shorthand for whether your ad is aligned with audience intent, creative appeal, and expected action.
Use Meta's modern ad relevance diagnostics when:
Relevance diagnostics are best viewed after at least 500 impressions and once your ad exits the learning phase. Before that, the data can be too volatile.
Because Meta’s ad auction doesn’t just reward highest bid — it rewards best user experience. A more relevant ad (high engagement, low bounce, aligned with the audience) will cost you less per impression or click.
Strategically, relevance diagnostics help you:
High relevance = lower CPM + higher CTR = better ROAS.
Misinterpreting It as a Vanity Metric
A 9/10 relevance score (or high rankings) is meaningless if your CPA is unprofitable. Use it as a diagnostic, not a success metric.
Treating the Three Rankings as Equal
Conversion Rate Ranking is most important for performance. Quality and engagement matter, but if people aren’t converting, the ad still fails.
Trying to Hack the Score
Some marketers overload the creative with clickbait or shock just to spike engagement. That tanks conversion and breaks trust — short-term gain, long-term pain.
Meta now shows three relevance rankings in Ads Manager:
| Metric | What It Means |
| Quality Ranking | Perceived ad quality vs similar ads in your audience's feed |
| Engagement Rate Ranking | Expected engagement (likes, comments, shares, clicks) |
| Conversion Rate Ranking | Predicted conversion vs similar ads with same objective |
Each ranking is graded as:
Example Diagnosis:
→ Suggests your creative needs work and your offer might be weak. Time to refresh assets and tighten your CTA or landing page.
Creative Testing Frameworks: Relevance diagnostics guide which creative variant is resonating.
Also tied to:
| Platform | Metric Name | What It Measures |
| Meta Ads | Relevance diagnostics | Engagement, quality, conversion signals |
| Google Ads | Quality Score | CTR, ad relevance, landing page quality |
Both influence ad rank and cost-per-click, but Google's is more keyword and landing-page focused. Meta’s diagnostics are more creative- and audience-fit-driven.
DTC Brand Running UGC vs Product Demo
Two creatives had identical offers.
SaaS Company Running Cold Traffic Campaign
Quality and engagement rankings were solid, but conversion was Bottom 10%.
Diagnosis: Ad was promising too much too fast → rewrote offer, added lead magnet → Conversion Rank jumped to Avg and CPL dropped by 29%.
At 2x, we treat relevance diagnostics as creative feedback tools, not campaign success indicators.
Our take:
Good relevance scores don’t guarantee profit — but bad ones almost always predict failure.
Can I still see the 1–10 relevance score in Ads Manager?
No. Meta retired the 1–10 score in 2019. Use the 3 relevance diagnostics now.
How often should I check relevance rankings?
Weekly, after ads exit learning phase. Too early = noisy data.
Can I still scale an ad with poor relevance?
Sometimes. If ROAS is solid, keep running. But monitor for rising CPMs or fatigued engagement.
Does relevance score impact CPM?
Yes — more relevant ads often win cheaper auctions, especially in competitive verticals.
How do I improve a low Conversion Rate Ranking?
Fix landing page load speed, align headline with ad promise, and test stronger offers or urgency-driven CTAs.
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Extract structured data from hundreds of documents at the same time.
Extract structured data from hundreds of documents at the same time.


