Starting April 30th, Facebook began phasing out the ability to track relevance score along with 6 other metrics. Instead, it is replacing them with 3 new metrics.
Quality ranking
It compares the overall quality of an ad against similar posts with the same or similar audience. This is the old-fashioned relevance score.
But no, we’ll lose relevance score! What is it, anyway?
The relevance score served as a rough indicator of the performance of individual creatives for marketers. It was a number from 1-10, where, based on the popularity of the campaign, feedback, clicks and interactions, Facebook determined loan database whether or not it was an ad that users liked to see and whether it was relevant to your target audience. The higher the score, the better.
Conversion rate ranking
Very welcome information, especially for e-shops – it compares the conversion value against the competition.
Simply put, Facebook was using the score to tell us
Big bad , the ad will have to be pushed through at the expense of the price. No one is saying that your ugly ad with probably 7 best cloud based crm software in 2025 poor targeting, for example, to Puerto Ricans, Japanese speakers in the Moravia region will not be shown to anyone, but you will have to pay extra.
You are a marketing god , your cost per click can be as low as a penny. Your ads bring multiple ROIs and fireworks appear in the sky, while Mark Zuckerberg himself comes to worship you.
Website Purchase ROAS
Nobody has ever used these metrics anyway. If they have, it’s only to make a very brief observation that targeting Messages replies or advertising exclusively on Offers simply doesn’t pay off and is far superior to regular clicks. But if you’re still worried, don’t worry. Some of them will be replaced with a modified form.
New metrics:
They will be used to compare performance contact lists in greater detail and will be based on competing campaigns with the same targeting as your campaigns.
Engagement rate metric
It compares engagement (clicks, comments, thumbs up, hearts, etc.) against similar posts with the same or similar audience.