Algorithmic Attribution Models: What They Get Right and Where They Break
An algorithmic attribution model uses machine learning to assign conversion credit across touchpoints based on observed patterns in your data, rather than applying a fixed rule like last click or linear. Instead of splitting credit evenly or giving it all to the final interaction, the model calculates how much each channel, campaign, or ad contributed…
