Q&A: How can marketers use AI effectively—without losing human judgment?
As marketers increasingly turn to artificial intelligence (AI) tools to create content and improve the efficiency of their workflows, a new study by a Penn State researcher and collaborators proposes an approach to deploying AI-generated marketing content at scale while reducing the need for costly and time-consuming traditional testing.
Marketers are integrating artificial intelligence (AI) tools into various aspects of their work, with content creation being the most visible application. AI assists in drafting emails, social media posts, advertisements, and product descriptions, as well as generating images and short videos. However, AI's influence extends beyond just creating copy.
It aids in brainstorming campaign ideas, researching markets, analyzing customer data for personalized messaging, predicting customer behavior, and automating customer journey processes. The primary advantage of AI is its ability to generate ideas at a much faster pace than traditional methods. This enables marketers to explore a broader range of options and personalize content more effectively.
However, the increased volume of content also raises the question of how to determine which options are most likely to succeed. Unlike AI models that lack contextual understanding, human marketers possess valuable insights and contextual knowledge about their businesses, which is crucial in making informed decisions about the use of AI-generated content.
Written by urgent.news from Phys.org's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
