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By Paul Roetzer on May 1, 2019
Editor’s Note: This post originally appeared in the Answering AI editorial section of our newsletter. Subscribe to the newsletter to get exclusive insights and resources twice weekly (usually Tuesday/Thursday), as well as select promotions.
Using our AI Score for Marketers assessment tool, we’ve asked hundreds of professionals to rate the value of intelligently automating more than 60 common AI use cases.
All use cases are scored on a 1 – 5 scale (1 = no value; 5 = transformative) based on the same question: “Assuming AI technology could be applied, how valuable would it be for your team to intelligently automate each use case?”
Respondents are guided to consider the potential time and money saved, and the increased probability of achieving business goals.
Here are the top 15 marketing AI use cases, with average rating, according to our analysis of 210 respondents. As you can see, the highest rated use cases were scored between 3 and 4, indicating they are of moderate-to-high value for marketers.
As discussed in a previous Answering AI editorial, quick-win pilot projects with narrowly defined use cases are the best way to get started with AI. Consider if any of these use cases are a priority for your company, and then go find smarter solutions to drive costs down and revenue up.
Have an AI question you want answered in an upcoming newsletter editorial? Submit your questions and feedback to marketing.ai@pr2020.com.
Paul Roetzer is founder and CEO of Marketing AI Institute. He is the author of Marketing Artificial Intelligence (Matt Holt Books, 2022) The Marketing Performance Blueprint (Wiley, 2014) and The Marketing Agency Blueprint (Wiley, 2012); and creator of the Marketing AI Conference (MAICON).
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