As a marketer and consumer, few can explain the impact of AI personalization quite like yours truly. I’ve created (and received) hundreds of personalized marketing assets in my day, and it’s crystal clear when something was created in a half-hearted effort, versus when it’s tailored to one’s specific interests and behaviors. The latter makes both of my alter egos smile, and a lot of it is thanks to artificial intelligence. If you’re interested in using AI personalization marketing to reach your customers, I put together this guide to help. Table of Contents Executive Summary What is AI personalization? Why use AI for marketing personalization? Benefits of AI Personalization Marketing Challenges of AI Personalization Top 5 Use Cases for AI Personalization Marketing Real-World AI Personalization Examples Across Industries AI Personalization Best Practices What are the future trends in AI personalization? Frequently Asked Questions About AI Personalization in Marketing Executive Summary AI personalization uses artificial intelligence to deliver tailored experiences, content, or offers to each customer based on their behavior, preferences, and real-time data. Unlike traditional personalization, AI adapts automatically and at scale. Key benefits include higher engagement, increased revenue, and improved customer satisfaction. Common real-world examples can be seen in Amazon‘s product recommendations and Netflix’s viewing suggestions. To get started with AI personalization, select the right tools for your goals and experience, establish a robust data foundation, and adhere to best practices for privacy and transparency. Ready to personalize at scale? Explore content personalization through HubSpot with a free demo. What…