Which machine learning technique was first widely adopted by major political campaigns to predict voter behavior based on consumer data patterns?

Modern politics increasingly relies on sophisticated digital tools for campaign management and voter engagement. From predictive analytics to personalized messaging, machine learning has transformed how political campaigns operate. Test your knowledge about the intersection of politics, government, and cutting-edge retail-inspired machine learning applications that are reshaping democratic processes worldwide.

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Decision tree modeling used in Obama's 2008 campaign that identified persuadable voters through consumer purchasing patterns
Neural networks deployed in the Brexit campaign to target undecided voters based on social media engagement
Microtargeting using cluster analysis first popularized in Bush's 2004 campaign that segmented voters based on consumer lifestyle choices
Reinforcement learning algorithms used in Macron's 2017 campaign that optimized door-to-door canvassing routes