Database marketing records user actions like clicks and visits where users are identified based on recent behavior. It captures detailed activity data such as page views, time spent on pages, search queries, navigation paths, email opens, and link clicks across websites, mobile apps, and campaigns. It updates customer profiles in real time where systems process this behavior data to group users and trigger targeted messages, recommendations, or offers based on recent actions and engagement patterns.
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