Hyper-personalization takes personalized marketing a step further by leveraging artificial intelligence (AI) and real-time data to deliver more relevant content, product, and service information to each user. The AI-powered applications used most effectively in a hyper-personalization strategy are predictive analytics and user experience. As marketers focus more on achieving higher levels of personalization to meet consumers demand for more relevant messaging, many are embracing emerging technology and automation tools. Now many marketers see AI as a solution for delivering more relevant content, product and service information to consumers.

Take a glance at the most effective artificial intelligence powered applications used in hyper-personalization strategies, 2018:

• Predictive analytics is ranked as the most effective AI-powered application used in hyper-personalization strategies with a rate of 56%.
• User experience (UX) is ranked as the second most effective AI application used in hyper-personalization with a rate of 46%.
• Content creation/curation comes at next as an effective AI-powered application used in hyper-personalization strategies with a rate of 45%.
• Search/social marketing also listed as an effective AI-powered application used in hyper-personalization strategies with a rate of 26%.

A Graph Shows The Most Effective AI Applications Used In Hyper-Personalization Strategies, 2019.