Real-Time Personalization

Definition of Real-Time Personalization

The customization of content and experiences instantaneously based on user behavior and data.

Explanation of Real-Time Personalization

Real-time personalization involves tailoring content, products, or services to individual users instantly based on their current behavior, preferences, and interactions. This approach aims to provide a more relevant and engaging experience, increasing user satisfaction, loyalty, and conversions. Real-time personalization uses data analytics, machine learning, and artificial intelligence to analyze user data in real-time and deliver personalized experiences across various touchpoints, such as websites, apps, emails, and advertisements. Examples include recommending products based on browsing history, displaying personalized content, or offering dynamic pricing. Implementing real-time personalization requires robust data collection, advanced analytics, and the ability to act on insights quickly. By leveraging real-time personalization, businesses can create more meaningful interactions, enhance customer relationships, and drive better results.

This dictionary entry was written by

Per-Gulbrand Peter Braathen

With a foundation in doctoral-level research, Per-Gulbrand Peter Braathen is a seasoned expert in the areas of marketing, branding and communication. His proficiency extends to marketing management, branding and communication strategy. Braathen's experience is underscored by his rich background from various industries, including entertainment. A distinguished alumnus of the USC Marshall School of Business, Braathen boasts a Master of Science in Marketing, complemented by a Graduate Certificate in the Business of Entertainment from the USC School of Cinematic Arts as well as two undergraduate Bachelor degrees from the esteemed University of Southern California.