Once associated with big New York City offices, patriarchal workplace culture and multi-million dollar budgets, the advertising industry has evolved considerably in the past century. Now diversified and modernized, remnants of the mid-century Madison Avenue advertising ecosystem are few and far between.
But what’s caused this shift? Industry leaders will be quick to tell you there’s at least one tool that’s been especially vital to this evolution: artificial intelligence (AI). By mixing fundamental marketing concepts from previous generations with state-of-the-art AI technology, today’s ad agencies and brands can harness machine learning to stay relevant.
From my experiences partnering with the companies powering change in the advertising and marketing industries, I’ve learned a lot about what’s shaping the future of brands' campaigns. Let’s take a look at machine learning’s role in this shift.
Personalization + Targeting
Historically, advertising executives relied on generalized demographic information from surveys and censuses to determine what ads would be most successful and where they should be placed. With improved technology, however, advertising teams have unlocked new levels of consumer insight that can target relevant ads directly to interested audiences.
Continue reading: https://www.forbes.com/sites/forbesbusinesscouncil/2022/01/18/how-machine-learning-is-shaping-the-future-of-advertising/?sh=214438eb1361
But what’s caused this shift? Industry leaders will be quick to tell you there’s at least one tool that’s been especially vital to this evolution: artificial intelligence (AI). By mixing fundamental marketing concepts from previous generations with state-of-the-art AI technology, today’s ad agencies and brands can harness machine learning to stay relevant.
From my experiences partnering with the companies powering change in the advertising and marketing industries, I’ve learned a lot about what’s shaping the future of brands' campaigns. Let’s take a look at machine learning’s role in this shift.
Personalization + Targeting
Historically, advertising executives relied on generalized demographic information from surveys and censuses to determine what ads would be most successful and where they should be placed. With improved technology, however, advertising teams have unlocked new levels of consumer insight that can target relevant ads directly to interested audiences.
Continue reading: https://www.forbes.com/sites/forbesbusinesscouncil/2022/01/18/how-machine-learning-is-shaping-the-future-of-advertising/?sh=214438eb1361
