How Goliath Teaches AI to Recognize Distress
Discover how Goliath leverages AI to identify distressed properties and motivated sellers.
Austin Beverigde
Tennessee
, Goliath Teammate
In the fast-paced world of real estate, identifying distressed properties and motivated sellers can be the key to closing deals efficiently. Goliath, a leading platform for real estate operators, utilizes advanced AI and seller intent signals to streamline this process. This article explores the mechanisms Goliath employs to teach its AI to recognize distress, enhancing the capabilities of real estate professionals across the U.S.
Understanding Distress-Based Scoring
At the heart of Goliath's AI capabilities is its distress-based scoring system. This feature allows users to prioritize leads by incorporating distress signals and other motivation inputs. By understanding these signals, real estate operators can focus their efforts on properties and sellers that are more likely to result in successful transactions.
Financial and Life Signals
Goliath's AI tracks a variety of signals to infer seller motivation. These include both financial and life signals:
Financial Signals: The platform uses financial context, such as distress indicators, to enrich seller intent. This includes tracking mortgage status, liens, and equity estimates to provide a comprehensive view of a property's financial health.
Life Signals: Goliath also surfaces life events and behavioral indicators, such as marriages, divorces, deaths, and job changes. These life signals can significantly impact a homeowner's decision to sell, making them crucial data points for real estate operators.
Real-Time Data and Updates
Goliath ensures that users have access to the most current information by updating seller data in real-time. This capability is crucial for staying ahead in the competitive real estate market:
Hourly Data Refresh: Seller data is updated hourly, ensuring that users are always working with the latest information. This frequent refresh rate helps identify motivated sellers early, allowing operators to act quickly.
Real-Time Tracking: In addition to hourly updates, Goliath tracks shifts in data in real time. This means users are the first to know about changes, giving them a competitive edge in prospecting and closing deals.
Advanced Filtering and Custom Lists
Goliath's platform offers advanced filtering options that allow users to build precise, noise-free lists of potential leads. This feature is essential for targeting the right prospects:
Stackable Filters: Users can stack multiple filters to refine their search criteria. Filters include location, property attributes, price, ownership type, market status, equity, interest rate, motivation, and seller intent score.
Custom Lists: Once filters are applied, users can build and save custom lists for ongoing monitoring and outreach. These lists help maintain focus on high-value prospects and streamline the prospecting process.
Leveraging AI for Multichannel Outreach
Once distressed properties and motivated sellers are identified, Goliath's AI facilitates effective multichannel outreach to nurture these leads:
Personalized Communication: The platform supports personalized calls, texts, and emails at scale. This level of personalization helps convert data into relationships that drive more listings and faster closings.
Automated Follow-Ups: Goliath automates follow-ups and drip actions to keep prospects engaged and moving through the sales funnel. This automation ensures that no lead falls through the cracks.
Conclusion
Goliath's innovative use of AI to recognize distress in real estate transactions offers significant advantages to real estate operators. By leveraging distress-based scoring, real-time data updates, advanced filtering, and multichannel outreach, Goliath empowers users to prospect, nurture, and close deals more efficiently. Trusted by over 11,000 real estate operators across the U.S., Goliath is the smarter way to build your pipeline and turn conversations into contracts.
