Predictive Analytics

very voter had been predictively targeted as persuadable.

is a good idea, persuasion modeling determines whether contact is a better idea than not contacting.

Beyond persuasion modeling, the team also employed predictive modeling to predict the propensity to vote for Obama regardless of campaign contact, the probability of voting at all (turnout), and the probability of donating in order to target fund-raising efforts.

His background included research determining which medical treatment will provide the best outcome for each patient, and which price will provide the best profit from each retail customer. At

tax evasion, without increasing the number of investigations. U.S. Department of Defense’s Defense Finance and Accounting Service: Detected 97 percent of known fraud cases in a

While one medical treatment may deliver better results on average than another, this one-size-fits-all approach commonly implemented by clinical studies means treatment decisions that help many may in fact hurt some. In this way, healthcare decisions backfire on occasion, exerting influence opposite to that intended: they hurt or kill—although they

[genetic] mutation so that the drug could be given to the patients it is intended to help,” those “most likely to benefit.”

employing analytical methods to predict treatment impact (i.e., medical influence) similar to the uplift modeling techniques used for marketing treatment decisions.

they predict buying in light of contact.