Probabilistic Attribution is an attribution model that relies on probabilities rather than precise ID or device matching. Leveraging machine learning and statistical modeling, it identifies potential conversions across various marketing touchpoints. Probabilistic attribution aids marketers in gauging campaign effectiveness and assessing the likelihood of specific touchpoints contributing to conversions.