Understanding Goliath's Machine Learning Model Training
Discover how Goliath leverages AI to revolutionize real estate operations.
Austin Beverigde
Tennessee
, Goliath Teammate
Goliath Data is at the forefront of transforming real estate operations through its advanced use of machine learning and AI. By integrating seller intent signals and life event tracking, Goliath provides real estate professionals with unparalleled insights and capabilities.
AI and Seller Intent Signals
At the core of Goliath's offering is the use of AI to interpret seller intent signals. These signals are derived from a variety of data points, including life events such as marriages, divorces, and job changes, as well as financial indicators like distress signals. By analyzing these inputs, Goliath's AI can effectively infer the motivation of potential sellers, allowing users to prioritize leads that are more likely to convert.
Real-Time Data Updates
Goliath ensures that its users have access to the most current information by updating seller data hourly. This real-time tracking capability allows users to be the first to know about shifts in data, providing a competitive edge in the fast-paced real estate market.
Data Enrichment and Filtering
Goliath's machine learning models are further enhanced by robust data enrichment processes. These processes clean and structure raw data, enriching it with additional context to support outreach efforts. Users can filter data by various attributes, including location, property characteristics, price, ownership type, market status, equity, and seller motivation. This level of precision ensures that users can build highly targeted and effective prospect lists.
Automated CRM Integration
Once data is enriched, it is seamlessly integrated into the user's CRM through a one-time sync. Goliath's system automatically updates and enriches CRM data, providing ongoing insights without manual intervention. This automation streamlines operations and ensures that users are always working with the most relevant information.
Prospecting and Nurturing Capabilities
Goliath's AI-driven platform excels in both prospecting and nurturing leads. By identifying motivated sellers early through intent signals and hourly updates, users can build precision lists that match their specific criteria. The platform also supports multichannel outreach, enabling personalized communication at scale through calls, texts, and emails.
Automated Follow-Ups and Smart Call Lists
To keep prospects engaged, Goliath offers automated follow-ups and drip actions. Users can generate smart call lists and receive instant summaries to accelerate their outreach efforts. Built-in reminders and appointment management features help prevent potential leads from slipping through the cracks.
Closing Deals with AI
Goliath's machine learning models also play a crucial role in closing deals. The platform provides a single live dashboard to track every deal, notes, next steps, and instant updates. Automated contract creation and tracking features shorten the time-to-close, while digital agreements support remote e-signing from anywhere.
Handling Objections and Measuring Outcomes
Contextual insights provided by Goliath's AI help users address last-minute objections, keeping deals moving forward. The platform also offers tools to measure activity efficiency, maximizing outcomes and ROI for real estate professionals.
Conclusion
Goliath's use of machine learning and AI is a game-changer for real estate operators. By providing real-time data, enriched insights, and automated processes, Goliath empowers users to prospect, nurture, and close deals more effectively than ever before. Trusted by thousands of real estate professionals across the U.S., Goliath is truly the smarter way to build your pipeline.
