Facebook relevance score broken down into 3 metrics
Posted: Sat Feb 22, 2025 6:20 am
Learn how to use the new metrics that have replaced Facebook's relevance score to further optimize your advertising campaigns.
Facebook recently revamped its Relevance Score metric to give advertisers more insight into what might be affecting their ad performance. Similar to the information available in Google Ads’ Quality Score, Facebook has broken down its Relevance Score, which was previously a single metric, into three different metrics that evaluate PPC ads: Quality Score, Engagement Rate Score, and Conversion Rate Score .
This data can give advertisers a much deeper and kuwait phone number data more detailed view of how Facebook perceives their PPC ad in the auction compared to other ads targeting the same audience. This gives advertisers valuable feedback that allows them to make more informed decisions about optimizing their ads and targeting specific audiences.
Original relevance score
The previous relevance score was a single number on a scale of one to ten that expressed the relevance of an ad to its target audience . Facebook's algorithm attempted to aggregate various signals related to the quality and relevance of an ad to give advertisers an idea of how well an ad was reaching its target audience compared to other ads targeting the same audience. The higher the relevance score, the better the ad was. Facebook's algorithm used various positive and negative signals to calculate this , such as the number of impressions, the number of clicks, the number of conversions, how users responded to the ad, the number of times the ad was hidden, and many others.
Facebook recently revamped its Relevance Score metric to give advertisers more insight into what might be affecting their ad performance. Similar to the information available in Google Ads’ Quality Score, Facebook has broken down its Relevance Score, which was previously a single metric, into three different metrics that evaluate PPC ads: Quality Score, Engagement Rate Score, and Conversion Rate Score .
This data can give advertisers a much deeper and kuwait phone number data more detailed view of how Facebook perceives their PPC ad in the auction compared to other ads targeting the same audience. This gives advertisers valuable feedback that allows them to make more informed decisions about optimizing their ads and targeting specific audiences.
Original relevance score
The previous relevance score was a single number on a scale of one to ten that expressed the relevance of an ad to its target audience . Facebook's algorithm attempted to aggregate various signals related to the quality and relevance of an ad to give advertisers an idea of how well an ad was reaching its target audience compared to other ads targeting the same audience. The higher the relevance score, the better the ad was. Facebook's algorithm used various positive and negative signals to calculate this , such as the number of impressions, the number of clicks, the number of conversions, how users responded to the ad, the number of times the ad was hidden, and many others.