You can use gender and age data from 10% of users to determine patterns specific to a particular gender and age. But what if users fill out this data only in 10% of cases? How can you understand how many of your website users fall into your target audience? Patterns of behavior can help. It hides the enormous potential of behavioral data, allowing us to supplement user data with the missing parameters based on the data we already have for other users.įor example, the simplest way to define a target audience is by gender and age. When hundreds of such parameters are collected, the collected data gains value because it contains patterns of behavior and dependencies. ![]() ![]() Click past the pop-up - Can be true/false.In addition to these three actions the user can take, the pop-up window will close on its own after a certain period of time.
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