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This paper proposes a methodology for predicting B2B customer conversion using document representation, graph theory, and CatBoost, achieving 91% accuracy in sales funnel prediction.
MARCO is a Meta AI framework that decomposes clicks by intent to improve ads conversion prediction, correcting per-intent calibration bias and lifting conversions per click by +2.80% and topline metrics by +0.98% in production.