Personalization Terms
Personalization terms cover how stores tailor content and offers to individual shoppers. Each definition explains the concept and how it works.
9 terms
AI PersonalizationUsing machine learning algorithms to automatically tailor content, recommendations, and experiences to individual usersPersonalizationBehavioral TargetingBehavioral targeting delivers personalized content and offers based on how customers interact with your website, including browsing and purchase history.PersonalizationContextual TargetingContextual targeting displays ads based on the content of the page being viewed rather than tracking user behavior across websites.PersonalizationDynamic SegmentsDynamic segments automatically update customer groups in real-time based on behavior and data changes, unlike static segments that remain fixed.PersonalizationExperience Eligibility RulesConditions that determine which users qualify to see specific personalized experiences or experimentsPersonalizationExperience VariantsDifferent versions of content, design, or functionality shown to users during personalization or experimentationPersonalizationPredictive TargetingPredictive targeting uses machine learning to anticipate customer behavior and deliver personalized experiences before customers take action.PersonalizationProduct AffinityProduct affinity identifies which products customers frequently purchase together, enabling cross-sell recommendations and bundle strategies.PersonalizationTriggered OverlaysTriggered overlays are popups that appear based on specific user behaviors like exit intent, scroll depth, or time on page.Personalization
