How to Personalize Visual Stories without Creeping Out Your Audience?

With the tremendous growth in the AI market which is projected to reach US$ 202.57 Billions by 2026 (Fortune Business Insights), and contribute up to $15.7 trillion to the global economy by 2030 (PWC) – it’s time to stop and think about some of the implications for visual storytellers.

There is a very interesting paradox at work here.

On one hand, 40 percent of marketing and sales prioritize AI and machine learning higher than any other department in enterprises today (Source: Forbes). And interestingly, according to Epsilon study, 90 percent of consumers find AI-powered personalization appealing.

But as it’s true for anything, it all depends on not overdoing it. Apparently, there is a fine line where consumers perceive hyper-personalization as creepy.

That’s why in this episode of the Visual Storytelling Today podcast I speak with Vince Jeffs, an AI expert I came across a few of his insightful articles, including The Hyper-Personalization Paradox, that I felt the need to dig deeper and interview him in person.

Watch the full video recording of this interview:

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You can also listen to the audio podcast of this episode.
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A bit about Vince, he is Senior Director, Product Strategy, Marketing AI & Decisioning, at Pegasystems, where he’s responsible for Product Strategy, positioning, messaging, and thought leadership for Pega’s Decision Hub – “Always-On Customer Engagement Brain”, which uses artificial intelligence & machine learning to optimize customer engagement. Vince has over 25 years of experience in Marketing Technology (Martech) and CX / CRM systems, working for IBM, Unica and Saas to name a few.

I especially like the two mind-boggling examples of hyper-personalization Vince shares: the first brand got it wrong and annoyed its audience, while the second brand even though got it right, crossed into the creepiness zone and created an uproar. Watch the full stories.

What you will learn:

• What are the definitions of hyper-personalization and creepiness marketers should watch for?
• How does hyper-personalization affect visual stories (e.g., videos, images, infographics, etc)?
• What are the key examples of hyper-personalization that are in the creepiness zone?
• What are simple tips visual storytellers could take to avoid hyper-personalization and annoying audiences?
• And much more.