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artificial intelligence in marketing

Marketing Artificial Intelligence Institute

Get the latest exclusive content on AI, machine learning, cognitive computing and related AI technologies—created by marketers for marketers.

Elizabeth Juran

Elizabeth Juran is a consultant at PR 20/20. She joined the agency in March 2017 with a background in corporate marketing and communication.

Blog Feature

Use Cases for AI in Email

By: Elizabeth Juran
November 5th, 2019

In the nearly 50 years since email was invented, people have spent a great deal of time and energy perfecting the ways they send messages to ensure a desired outcome. Maybe the outcome is simply an open. In other cases, it’s a click or a reply.  In every case, though, people have likely completed a number of small experiments until they get the formula that works well enough. Include the recipient’s first name in the subject line, check. Use personable, funny language to grab the recipient’s attention, check. Offer to follow up in a few days, check. Sound familiar? The problem with this approach is, when we’re sending nearly 300 billion emails per day and have more riding on email than ever before, we need to be running far more experiments.  We need to be perfecting each facet of email—or coming close to perfection, at least—to really harness the power of email to drive brand recognition, audience growth, and revenue.  The problem is, there are just too many variables involved for a human to make these perfect decisions themselves. A machine, however, can accomplish this.

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Blog Feature

How to Use Artificial Intelligence in Email

By: Elizabeth Juran
October 29th, 2019

How often do you listen to your intuition when making a decision? That “gut feeling” is an essential human function. It’s the sensation from deep within our lizard brains that tells us something feels off, and we might be in danger. It’s helpful at worst, and life-saving at best.  But when it comes to marketing? Your gut feeling is probably wrong.

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Blog Feature

24 Marketers' Genuine Answers to Fascinating AI Questions

By: Elizabeth Juran
September 30th, 2019

At the inaugural Marketing Artificial Intelligence Conference (MAICON), hundreds of marketers gathered to truly understand AI and learn how to educate their teams, earn executive support, pilot AI projects, and develop a strategy for successfully scaling AI in their organizations.  These 300+ marketers from 12 countries and 28 states learned, networked, and discussed the possibilities AI can bring to their marketing programs. 

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Blog Feature

How to Use AI for Content Success [Research]

By: Elizabeth Juran
September 19th, 2019

Historically, content marketing is a labor-intensive part of any marketer’s job. Content strategy alone is a massive undertaking, with layers of research, planning, and execution that represent tons of hours. Even once you dive into actual writing and promotion of content, you’re still only scratching the surface of all that’s required for successful content marketing. But AI can help make content marketing more profitable by driving costs down and improving performance. Need proof?

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Blog Feature

8 TED Talks on AI Every Marketer Should Watch

By: Elizabeth Juran
February 28th, 2019

TED talks are a great place for AI insights and inspiration, as they feature people with a range of AI backgrounds and experiences. At the time of this writing, a search for “artificial intelligence” on the TED talks website turns up 311 results. In case you don’t have the time to watch them all, we compiled a list of our favorites.

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Blog Feature

Research Proves the Benefits of Getting Ahead of the AI Curve

By: Elizabeth Juran
February 5th, 2019

“Artificial intelligence” is at peak buzzword status. As marketers, we see it everywhere: Affixed to the claims of the latest marketing tech, alongside warnings that it will eradicate jobs like content production, and peppered into predictions of coming trends. Many marketers are used to being bombarded with hype about “the next big thing.” In this case, they either become numb to mention of AI because it’s usually not actionable or approachable, or they’re disillusioned because it’s just a catchy term for tools that aren’t really AI.

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