REAL ESTATE BROKERAGE · PROPENSITY TO BUY
AI Propensity to Buy for Real Estate Brokerages
Find the buyers most likely to transact, so agents spend their time on high-value leads. OutcomeCatalyst scores your database and inbound leads on readiness to buy, so leadership can focus agents where commission is most likely to close. The interactive example below shows what it builds from your CRM, web, and market data.
AI propensity to buy for brokerages: common questions
What is propensity to buy?
It is a score of how likely each contact is to buy in the near term, built from engagement, life events, financial signals, and market timing, so agents spend time on the buyers most ready to transact.
How does it raise agent productivity?
By ranking who is ready now, it stops agents spreading time evenly across a database and points them at the leads most likely to close, which lifts conversion and commission per agent.
How is this different from a CRM score?
A basic CRM score reflects activity in the CRM. OutcomeCatalyst adds behavioral, market, and public signals from outside the CRM to predict real buying intent.
