In-Market Buyer Prediction

The Short Answer

In-market buyer prediction identifies individuals who are likely to make a purchase in a specific category in the near term, based on behavioral modeling rather than a stated intent form. It is the output of applying predictive modeling, such as Bayesian behavioral modeling, to a broad consumer data graph to surface a list of high-probability buyers before they've raised their hand.

How It Works

Predictive modeling, such as Bayesian behavioral modeling, is applied to a broad consumer data graph to score individuals on their likelihood of purchasing in a specific category soon, without requiring any stated intent form.

Why It Matters

It surfaces buyers earlier than traditional intent signals can, since it does not wait for someone to visit a pricing page or fill out a form; it predicts based on behavior alone.

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