A website personalization engine is software that drives relevant, personalized experiences for website shoppers and subscribers by using artificial intelligence to analyze data supplied at various touchpoints as customers browse, buy, or use a service such as movie streaming. By analyzing customer behavior, preferences, and past behavior, marketers can create personalized ecommerce experiences tailored to meet individual shoppers’ unique needs, leveraging machine learning algorithms to make this process more impactful. With modern personalization engines, technology like natural language processing (NLP) helps discern each customer’s specific intent to quickly display the right information, providing high-quality search results aligned with people’s needs. This approach has been winning over consumers, with 71% now expecting personalized experiences, and is being used by various online retailers including Amazon, Zappos, and Walmart to strengthen their customer journey, brand loyalty, and achieve KPIs. Personalization engines can be used for promoting products to customers based on their earlier interactions and purchase histories, offering personalized product recommendations, creating tailored email content such as “Recommended for you” messages, customizing mobile app experiences with relevant content and notifications, providing location-based personalization, and enhancing the online shopping experience across various platforms. By mastering the art of using a personalization engine, businesses can optimize their marketing strategies and deliver exceptional retail experiences.