How it works

Data collection

Collect data from multiple sources including purchases browsing history and social media activity 

Data analysis

Use AI and machine learning to analyze the data and build customer profiles 

Experience creation

Use the data to create personalized content offers and interactions for each customer.

Examples 

Social media ads– Personalized ads that offer custom products or services.

Netflix– Personalized search results based on a users interests.

Banking- Personalized financial advice loan offers and product recommendations.

Benefits Stronger customer connections In creased brand loyalty and More informed customer decisions. 

Challenges Data privacy concerns Data quality and integration Algorithm bias Resource intensiveness and Balancing personalization with intrusiveness.