AI Personalization
AI personalization refers to the use of artificial intelligence technologies to dynamically tailor content, product recommendations, and overall experiences to the unique preferences and behaviors of individual users. Instead of relying on static rules or broad demographic segments, AI-driven personalization continuously learns from a wide variety of data signals—such as browsing history, past purchases, on-site interactions, location, device type, and even the time of day—to predict what each user is most likely to find relevant or engaging.
This approach moves beyond the limitations of one-size-fits-all messaging by creating adaptive touchpoints that evolve with the user. Whether it’s suggesting a product that aligns with their recent searches, serving a piece of content that matches their interests, or adjusting the timing and format of a message, AI ensures that interactions feel timely, specific, and meaningful.
Explore more Glossary terms
AOV is the shorthand for average order value, a metric used to measure the average spend per customer transaction.
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Average order value is the average amount of money customers spend per transaction.
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An authority site is a website widely recognized as a trusted and credible source in its niche.
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An API is a set of rules that allows different software systems to communicate and exchange data.
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App personalization is the process of tailoring mobile app experiences based on user behavior and preferences.
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Anchor text is the clickable text in a hyperlink that signals the topic of the linked page.
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