Probabilistic Attribution

Probabilistic Attribution is an attribution model that relies on probabilities rather than ID or device matching. It utilizes machine learning and statistical modeling to identify potential conversions across different marketing touchpoints. Probabilistic attribution helps marketers understand the effectiveness of their campaigns and the probability of specific touchpoints contributing to conversions.