Personalization strategies are nothing new. But as the publishing industry progresses, personalized experiences are becoming more sophisticated. Digital Publishers are now able to employ the use of AI to analyze customer data on a larger scale as well as make precise predictions that were previously unimaginable.
But as with all technological advancements, AI personalization comes with its challenges…
In this eGuide, we’ll dive deep into these challenges and explore various approaches to personalization and content recommendations. We’ll cover essential metrics to consider for good personalization, the recommended practices for implementing a content recommendation system, and offer an in-depth look at the realm of AI analysis and how to navigate it.