Data-Driven Attribution: What the Model Measures
A data-driven attribution model uses machine learning to assign fractional credit to each touchpoint in a customer’s conversion path, based on the actual contribution of each interaction rather than a fixed rule. Unlike last-click or linear models, it weights touchpoints differently depending on how much each one influenced the final outcome, using patterns observed across…
