Hyper-Personalization: AI uses past communication with customers to analyze their preferences and their use of the product for providing personalized content, product suggestions, and ad targeting. These brands achieve much better engagement rates and higher conversion rates while using them for personalization.

Chatbots & Virtual Assistants: AI helping customers puts them face to face with the representatives of the company’s virtual branch, providing instant support for almost all queries and guiding them through the purchasing process, washing off the need to hear directly from humans.

Predictive Analytics: Based on previous historical data analysis, it produces predictions to form trends that would ultimately define the nature of customers or predict demand regarding future landscape markets.

Content Creation That Is Automated: Tools can now create blog posts, captions, content for social media, and even videos, giving unique quality and relevance but saving marketers on the time spent.

Optimization of Voice and Visual Search: An AI-enabled website could increase the chances of optimizing its search capability through voice and images to make things easier for customers to find products.

🔹 Example: Netflix is using algorithms powered by AI to analyze how an individual views content on the platform. These algorithms will, therefore, be able to recommend certain content to a viewer and keep that viewer happy, thus securing his/her retention.