It is through this combination of AI and content marketing that organizations have achieved an even more in-depth look at their potential customers and current users through hyperpersonalization.

Through hyperpersonalization, organizations can build a unique profile of individual users and customers and have that profile learn and adapt over time based on behavior.

Hyperpersonalization uses customer information to provide personalized content, products and services to match customers’ preferences. The data used includes profile data, user location, browsing history and purchasing decisions.

AI-based personalization aims to deliver optimal customer experiences in real time, targeted specifically to that individuals’ needs instead of grouping people together into broader categories.

Personalization is dependent on the ability to make offers that adjust to changing consumer behavior and preferences. It also must be able to respond to organizational requirements and other external influences.

Common use cases for AI-enabled hyperpersonalization
AI personalization helps organizations increase engagement, improve customer loyalty, increase sales and better understand their customers. While some use cases are industry-specific, such as personalized healthcare and treatment, other use cases can be applied more broadly.

1. Personalized content
2. Personalized messaging
3. Personalized ad targeting
4. Product recommendation
5. Personalized websites
6. AI-enabled avatars, robots and greeters
7. Personalized AI-powered chatbots
8. Better customer sentiment analysis

The promises of hyperpersonalization are significant, and the lure of making products and services better and more targeted to their ideal customer base makes the allure of AI-based personalization an inevitability.

By: Kathleen Walch, Cognilytica