Buchzusammenfassung
Since 1993, Ken Auletta has written the Annals of Communications for the New Yorker. He is also the author of 12 books, including the New York Times best seller Googled: The End of the World as We Know It.
The 2016 U.S. presidential election, which saw Donald Trump’s unexpected victory, challenged long-held beliefs in the advertising and marketing industry. Despite Hillary Clinton and Jeb Bush significantly outspending Trump on advertising, their efforts failed, revealing that large budgets no longer guarantee success. This shift is attributed to ad oversaturation, which has made traditional advertising less effective. Trump’s campaign capitalized on this change by employing Cambridge Analytica to gather detailed data and deliver highly targeted digital campaigns, highlighting the growing importance of audience segmentation and personalized messaging. This evolution reflects a broader transformation in advertising, where big data has become a vital resource. Sourced from first-party, second-party, and third-party data, it enables businesses to understand and target consumers more effectively, though challenges such as privacy concerns, limited access to data from tech giants, and a shortage of skilled analysts persist. Meanwhile, the advertising industry has undergone significant upheaval, moving away from the lucrative commission-based model of the mid-20th century to a more scrutinized and cost-conscious landscape. The rise of big data has further disrupted traditional advertising, empowering media agencies to deliver precise, personalized campaigns, as seen in successful initiatives like Revlon’s “Love Is On,” signaling a shift away from broad creative concepts toward data-driven strategies.
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