Code & Conduit Podcast: Clinton’s Big Data Spend Likely to Benefit Future Party Races


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One of the less visible but stark differences between this year’s presidential campaigns is the investments each is making in their big data infrastructure. 

Regardless of the outcome of the presidential race, the resources the Democratic party has sunk into their data targeting tools and staff could benefit the organization for years of local and national campaigns to come.

Democratic candidate Hillary Clinton invested early in collecting information about potential voters, donors and volunteers, while GOP nominee Donald J. Trump relied more on traditional broadcast media to get his message out.

Hillary Clinton and Donald Trump have starkly strategies for investing in big data.

Clinton invested early in efforts to collect information about potential voters, donors and volunteers. Trump relied more on broadcast and cable television to get his message out.

Still, Trump dominated in the Republican primaries against other candidates using more strategic data analysis, which is used to do everything from buying TV ads in targeted regions to parsing out supporters on social media.

In the final run up to the election, Daniel Kreiss, professor of political communication at the University of North Carolina Chapel Hill, spoke to Bloomberg BNA tech reporter Michaela Ross for the latest edition of our Code and Conduit podcast about how the candidates are using big data differently this year and how that might matter for the future success of each party.


You can read more of Michaela’s reporting on our tech, telecom and internet blog or on Bloomberg Law. If you liked what you heard in the podcast, sign up for a free trial of Bloomberg BNA’s legal and regulatory news and content.

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