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Ad Relevance Diagnostics

Definition

Ad Relevance Diagnostics are Meta Ads' three-part quality rating system that evaluates how your ad compares to competitors targeting the same audience. The three metrics — Quality Ranking, Engagement Rate Ranking, and Conversion Rate Ranking — help diagnose why an ad is underperforming and guide specific optimization actions.

The Three Diagnostic Metrics

Quality Ranking measures perceived quality based on feedback signals (hides, reports, post-engagement). Engagement Rate Ranking measures expected engagement rate (likes, comments, shares, clicks) compared to ads targeting the same audience. Conversion Rate Ranking measures expected conversion rate compared to ads with the same optimization goal. Each metric is rated as Above Average, Average, or Below Average. Understanding which specific metric is lagging tells you exactly where to focus your optimization efforts.

How to Interpret the Diagnostics

Low Quality Ranking with good Engagement and Conversion means your ad gets negative feedback: review for clickbait, misleading claims, or low-quality visuals. Low Engagement with good Quality and Conversion means your creative is not compelling: test new hooks, formats, or visual styles. Low Conversion with good Quality and Engagement means your post-click experience is weak: optimize your landing page, offer, or checkout flow. All three low suggests a fundamental mismatch between your ad and the target audience.

Improving Your Relevance Diagnostics

For Quality Ranking: avoid sensationalized language, ensure ad matches the landing page promise, and use high-quality images and video. For Engagement Rate: test attention-grabbing hooks in the first 3 seconds, use carousel and video formats, add compelling copy that encourages interaction. For Conversion Rate: align the ad offer with the landing page CTA, reduce checkout friction, add trust signals, and ensure mobile optimization. Target audiences who are genuinely interested in your product rather than inflating reach with irrelevant targeting.

Relevance Diagnostics with AdWhiz

AdWhiz pulls relevance diagnostic scores for all your active Meta ads and identifies which specific dimension is causing underperformance. The audit groups ads by diagnostic pattern (low quality, low engagement, or low conversion) and provides targeted recommendations for each group. This saves hours of manual analysis and ensures you are optimizing the right thing for each underperforming ad.

Frequently Asked Questions

Meta replaced the single Relevance Score (1-10) with three separate Ad Relevance Diagnostics in 2019: Quality Ranking, Engagement Rate Ranking, and Conversion Rate Ranking. The three-metric system provides more actionable insights by telling you specifically which dimension needs improvement rather than giving a single opaque number.

Yes, ads with better relevance diagnostics tend to receive more impressions at lower costs. Meta's auction rewards relevant ads with cheaper delivery. However, relevance diagnostics are relative to your competitors, so even 'Average' ratings can perform well if your bid and budget are competitive.

Relevance diagnostics appear after your ad has received approximately 500 impressions. Before that threshold, the data is insufficient for meaningful comparison. Give new ads at least 24-48 hours of delivery before checking their relevance diagnostics scores.

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