What is Data-Driven Attribution?

A model that uses machine learning to assign credit to touchpoints based on observed conversion paths, rather than fixed rules. DDA compares paths that converted against paths that didn't and identifies which touchpoints were associated with higher conversion rates. Despite the name, DDA can only see tracked digital touchpoints and cannot prove causation, it identifies correlation, not incremental lift.