Understanding Goliath's Seller Prioritization
Discover how Goliath identifies and prioritizes high-value seller leads.
Austin Beverigde
Tennessee
, Goliath Teammate
Introduction to Seller Prioritization
In the competitive world of real estate, identifying and prioritizing the right sellers can make a significant difference in closing deals efficiently. Goliath leverages advanced data analytics and AI-driven insights to ensure that real estate operators are always one step ahead in the market.
Data-Driven Insights
Goliath's platform is designed to provide real-time, data-driven insights that help users identify motivated sellers early. The system updates seller data hourly, ensuring that users have access to the most current information available. This real-time tracking allows users to be the first to know about shifts in seller intent and market conditions.
Seller Intent Signals
One of the key features of Goliath is its ability to utilize seller intent signals. These signals are derived from a combination of life events, behavioral indicators, and financial contexts that suggest a seller's motivation to sell. By analyzing these signals, Goliath can prioritize leads that are more likely to result in successful transactions.
Life and Behavioral Signals
Goliath tracks various life events and behavioral changes, such as marriages, divorces, job changes, and relocations, to infer a seller's motivation. These life signals provide valuable context that can indicate a higher likelihood of a seller being ready to engage in a transaction.
Financial Signals
Financial signals play a crucial role in Goliath's prioritization process. The platform uses financial context, such as distress indicators, to enrich seller intent. This includes analyzing mortgage balances, lien positions, and other financial data to assess the urgency and potential of a sale.
Advanced Filtering and Scoring
Goliath offers advanced filtering options that allow users to refine their search for potential sellers. Users can filter by location, property attributes, price, ownership type, and more. Additionally, Goliath's distress-based scoring system incorporates motivation inputs to rank leads based on their likelihood to sell.
Stackable Filters
With stackable filters, users can build precise, noise-free lists that match specific criteria such as zip code, price range, and property profile. This capability ensures that users can focus their efforts on the most promising leads.
Seller Intent Score
The Seller Intent Score is a powerful tool that supports thresholding, allowing users to filter leads based on a minimum score, such as 60+. This scoring system helps prioritize leads that are more likely to convert into successful deals.
Automated Outreach and Engagement
Once high-value leads are identified, Goliath facilitates automated outreach and engagement through its multichannel communication tools. Users can personalize calls, texts, and emails at scale, ensuring consistent and effective communication with potential sellers.
Smart Call Lists
Goliath generates smart call lists and instant summaries to accelerate actions, allowing users to focus on high-priority leads and streamline their outreach efforts.
Automations and Scheduling
Automated follow-ups and drip actions keep prospects moving through the sales funnel. Built-in reminders and appointment management features prevent opportunities from slipping through the cracks.
Conclusion
Goliath's comprehensive approach to seller prioritization combines real-time data, advanced filtering, and automated outreach to ensure that users can efficiently identify and engage with the most promising leads. By leveraging seller intent signals and prioritizing based on motivation, Goliath empowers real estate operators to close deals faster and with greater confidence.
