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Real Estate
Stone Real Estate
79 High-Intent Prospects Identified from 2,900 Contacts
Stone Real Estate had a large database of past contacts but no efficient way to know who was actually ready to transact. We deployed an AI prospect-engagement system to work the entire list, detect buying signals, and surface the people worth an agent’s time.
The challenge
A 2,900-contact database is far too large to work by hand, and agents’ time is best spent with people who are genuinely ready to move. Without a way to detect intent, hot prospects were buried among cold ones.
What we built
- An AI engagement system that contacts and converses with the entire database
- Buying-signal detection that scores and flags intent from real responses
- Automatic surfacing of high-intent contacts straight to the sales team
- Hands-off operation so agents only step in when a prospect is warm
The results
- 79 high-intent prospects identified from 2,900 contacts
- Agents focused only on genuinely ready buyers
- An entire dormant database worked without manual effort
- A repeatable engine for surfacing opportunities on demand