What impact has machine learning made on the marketing industry?

Advertising agencies are slowing down their recruitment efforts as the requirement for human input is reduced.

Well-known analytics tools are becoming obsolete as data is handled entirely by computer systems.

Advertisers can crunch more data at scale than ever, to drive better business outcomes.

Advertisers are spending more time on campaign optimisation due to additional data that's surfaced.


Choose an option to see if it’s correct. Check the explanation below. Learn Smarter, not Harder.

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Explanation: What impact has machine learning made on the marketing industry?


Explanation: The correct answer is **Advertisers can crunch more data at scale than ever, to drive better business outcomes**. Machine learning has significantly impacted the marketing industry by enabling advertisers to process and analyze vast amounts of data at scale, leading to improved decision-making and better business outcomes. With machine learning algorithms, advertisers can leverage advanced analytics techniques to uncover valuable insights from diverse data sources, including customer behavior, market trends, and advertising performance metrics. By harnessing the power of machine learning, advertisers can identify patterns, trends, and correlations within complex datasets that may not be readily apparent through traditional analysis methods. This enhanced data processing capability empowers advertisers to make more informed strategic decisions, optimize campaign performance, personalize marketing efforts, and ultimately drive greater ROI. As a result, machine learning has revolutionized how advertisers leverage data-driven insights to refine their marketing strategies, target audiences more effectively, and achieve their business objectives in a competitive digital landscape.

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