A machine-learning-based attribution approach that allocates conversion credit at the visit and session level, modeling the contribution of lower-funnel and direct channels. Often combined with daily Bayesian MMM in an ensemble pipeline to produce a unified view of performance across both click-based and impression-based channels.
Last updated:
July 28, 2026