How The Obama Campaign Used Predictive Analytics To Influence Voters
The Obama 2012 campaign famously used big data predictive analytics to influence individual voters. They hired more than 50 analytics experts, including data scientists, to predict which voters will be positively persuaded by political campaign contact such as a call, door knock, flyer, or TV ad. Uplift modeling (aka persuasion modeling) is one of the hottest forms of predictive analytics, for obvious reasons — most organizations wish to persuade people to to do something such as buy! In this special episode of Forrester TechnoPolitics, Mike interviews Eric Siegel, Ph.D., author of Predictive Analytics, to find out: 1) What exactly is uplift modeling? and 2) How did the Obama 2012 campaign use it to persuade voters? (< 4 minutes)
About Forrester TechnoPolitics
Make the tough calls. That’s what independent insight and analysis is all about. Hosted by Mike Gualtieri, Forrester TechnoPolitics features independent analysis and commentary from Forrester analysts about hot technology and what it means to you and the world. Scripted? Absolutely not. Passionate? We live it every day. Courage to make the tough calls? You be the judge.
Producers: Mike Gualtieri and Rowan Curran
This episode shot and edited by: Lindsay Gualtieri