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How Behavioral Data Can Elevate Performance of a Predictive Model?
The first thing that pops to my mind here when you're talking about this behavioral data would be something like a customer churn model. Oftentimes organizations build customer churn models by just understanding, okay, what is the package? What is lifetime value or like the different products that a customer has bought from us? And they use these as like features that are likely predictors of someone to churn. But what if you're also able to go much deeper than that and see how someone exactly is using your application and comparison versus the rest of the user audience? Would you think that's kind of an illustrative example of how behavioral data can elevate the performance of a predictive model here? That is an