A Recipient Segment in Scout refers to a dynamic group of individuals created using real-world data signals that indicate likelihood to engage, move, or convert.

Unlike generic audience filters, Scout’s segments are predictive. They’re built using behavior, property, financial, and life stage signals—driven by over 98 billion data points across U.S. households.

These segments are used to:

• Generate brand-new lead lists
• Enrich your existing data
• Prioritize the right prospects at the right time

🧠 How Are These Segments Built?

Scout’s segmentation algorithms are trained using actual consumer behavior—not guesses. We work with field experts, data scientists, and top-producing users to identify what really matters.

If you were to build a segment by hand, you might look at age, homeownership, income, kids in the home, and more. Scout just does it at scale—and better.

Using hundreds of structured and unstructured data points, we use machine learning and statistical modeling to weight the most predictive signals and score each recipient accordingly.

👉 Want a custom segment? Just tell us the outcome you care about (e.g. likely to buy, likely to sell, needs financing, aging in place) and we’ll generate one for you.