Predict Machine Learning enables you to anticipate the behaviors that you’re tracking in AudienceStream CDP. Behaviors like purchase, loyalty sign up, views, conversions, renewals, combinations of behavior, etc. These predictions come in the form of a number between 0 and 1 reflecting the likeliness of that individual customer to complete that behavior.
For example, a score of .99 means that the user is extremely likely to complete that behavior in the given timeframe. This score is added to the customer profile at the end of each and every visit. The score can immediately be used to create an audience (no separate deployment headaches). And the audience triggers actions to target those customers across all integrated channels in real time— using their likelihood (or non-likelihood) of completing a certain behavior. Some interesting examples include:
Credit: Google News
