Gist: The content argues that predictive attribution uses real-time buyer signals and machine learning to forecast revenue before deals close. It positions this as a better alternative to retrospective attribution because teams can act before budget is spent.
Signal reason: The primary subject is a new analytical capability for forecasting revenue before conversion.
