I want to know that what property or attributes of logistic regression make it to useful for modeling user behavior.
Basic linear regression cannot be used to predict probabilities due to the constraints of ordinary least squares (you should know these). Now, basic linear regression can still be useful - your response variable won't always be a 1/0 variable. For example, you can model consumer spending on luxury items as a function of income.
I hope this answers your question. Linear regression can be used to model user behavior, so long as you can represent the response variable in the appropriate way. But you may want to measure the probably of whether or not a user will do something, and logistics is useful for that.