Bayesian Behavioral Modeling
The Short Answer
Bayesian behavioral modeling starts from an existing customer list, identifies the behavioral profile shared by the best-fit customers, then continuously updates the probability that other people in a broader data graph currently match that same profile. Unlike a static lookalike model, it produces a real-time, in-market list that refreshes daily as new behavioral signals arrive, rather than a one-time snapshot.
How It Works
The model starts from an existing customer list, identifies the behavioral profile shared by the best-fit customers, then continuously recalculates the probability that other people in a broader data graph currently match that profile as new behavioral signals arrive.
Why It Matters
Unlike a static lookalike snapshot, it produces a real-time, in-market list that refreshes daily, which matters because buying behavior changes constantly and a list that is even a few weeks old can already be stale.
See It In Action
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