Many attribution tools rely on probabilistic modeling to estimate which channel influenced a purchase.
Attrivio takes a different approach.
Instead of predicting influence, the system evaluates chronological touchpoints and applies deterministic rules to determine how attribution credit should be assigned.
Every attribution outcome can be inspected and traced back to the touchpoints that produced it.
This approach prioritizes transparency over predictive modeling.
Attribution cannot be perfect. Browser restrictions, missing identifiers, and incomplete signals can affect any system.
Attrivio attempts to surface these limitations through its Identity Integrity monitoring so operators understand the quality of the underlying data.