Editor's Note: This is the second video in a series, created in collaboration with HubSpot.
Your job as a marketer is made up all the individual tasks you do do every day, and if you look closely at these activities, there are hundreds of valuable use cases for AI in marketing. Many of these use cases are ready for most organizations to begin exploring and piloting today. Yet, it can be difficult for marketers to effectively identify and prioritize use cases, so they can run successful pilot projects in their businesses.
So, how do you identify use cases for AI in marketing? How do you prioritize the right ones? And what can you do to get started with AI once you identify and prioritize those use cases?
To identify which use cases may be viable for AI, you want to look at three main things:
- Is it data-driven, or should it be data-driven?
- Is there a repetitive process?
- Are you trying to make a prediction about behavior or outcome?
Those are the three critical elements that signal AI may be able to help you do that task more efficiently or better.
In this video, Paul Roetzer, founder and CEO of Marketing Artificial Intelligence Institute, explains how to find your own top use cases for AI in marketing, as well as how to use that information to benefit your business.
Watch the video below.
Here’s a snapshot of the other episodes:
- Episode 1: What Is AI?
- Episode 2: What Are the Top Marketing AI Use Cases?
- Episode 3: What Skills Remain Uniquely Human in an AI-First World?
- Episode 4: How Should I Vet AI Vendors? (coming soon)
- Episode 5: How Can AI Make Brands More Human? (coming soon)
Ready to get started with marketing AI?
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As Chief Content Officer, Mike Kaput uses content marketing, marketing strategy, and marketing technology to grow and scale traffic, leads, and revenue for Marketing AI Institute. Mike is the co-author of Marketing Artificial Intelligence: AI, Marketing and the Future of Business (Matt Holt Books, 2022). See Mike's full bio.