When mass media was invented, increasing its levels of personalization always seemed like an enormous task. How can you speak more directly to an audience of millions when they have no apparent similarities other than the fact that they decided to see or listen to the same show? In this context, it comes as no surprise that AI and machine learning have captured the attention of the marketing industry as a whole… since they’re able to predict behaviors and give personalized recommendations.
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Author Notes:
Jeffrey Henning
Jeffrey Henning, IPC is a professionally certified researcher and has personally conducted over 1,400 survey research projects. Jeffrey is a member of the Insights Association and the American Association of Public Opinion Researchers. In 2012, he was the inaugural winner of the MRA’s Impact award, which “recognizes an industry professional, team or organization that has demonstrated tremendous vision, leadership, and innovation, within the past year, that has led to advances in the marketing research profession.” In 2022, the Insights Association named him an IPC Laureate. Before founding Researchscape in 2012, Jeffrey co-founded Perseus Development Corporation in 1993, which introduced the first web-survey software, and Vovici in 2006, which pioneered the enterprise-feedback management category. A 35-year veteran of the research industry, he began his career as an industry analyst for an Inc. 500 research firm.
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