(2)As you all know FB has made a MASSIVE initiative for advertisers to provide a great customer experience for their customers which is represented on the PAGE FEEDBACK SCORE, which literally dictates if your business can advertise or not on the FB platform.

(3) But how does ad quality score come into play? There are THREE metrics which FB uses machine learning to show your ads in front of the right people at the right time. They are: -Advertiser Bid -Estimated action rate (dictated on engagement rates) -Ad Quality

(4) To generate an ad’s quality score, FB uses machine learning to "consider the feedback of people viewing or hiding the ad, as well as assessments of low-quality attributes (like too much text in the ad's image, sensationalized language or engagement bait)."

(5) Now, the interesting thing to note is this: " Ads with the highest bid don’t always win the auction. Ads with lower bids often win if our system predicts a person is more likely to respond to them, or finds that they’re higher quality." Now what is the takeaway here?

(6) By simply creating ENGAGING ads that are not gimmicky and truly offer customers value, your ads will get a higher return on ad spend.This is because: 1) FB will reward you with lower costs 2) FB will reward you with the best prospective customers in the auction = SCALE🤑💸

@iamdansnow Yesss, FB tells us this exactly in blueprint to help us. But a lot of people never even touched blueprint before.