pCVR
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Model Monotonicity in Autobidding Auctions: When Do Better Predictions Lead to Better Outcomes?
arXiv:2605.31036v1 Announce Type: new Abstract: Online advertising platforms rely on machine learning models to predict click-through rates (pCTR) and conversion rates (pCVR) for auction mechanisms. We introduce a novel framework to study the interaction between recommender system model quality, auction format, and autobidder behavior.