The data we can collect for customer acquisition and life time value enhancement runs the spectrum from generic (postal code, age, gender) through behavioral (clickthroughs, pageviews, apps use) to the highly subjective (opinions, attitudes, motivations). The combination of these datasets moves us closer to getting the right message to the right person at the right time on the right device at the right frequency. Jim offers a marketing data taxonomy as the last step before handing the process over to machine learning algorithms to determine which attributes are useful at any given moment for a given purpose.