What Most CRMs Get Wrong About Distressed Seller Tracking (and How Goliath Fixes It)
Discover the pitfalls of traditional CRMs and how Goliath's AI-driven platform offers a smarter solution.
Austin Beverigde
Tennessee
, Goliath Teammate
In the fast-paced world of real estate, tracking distressed sellers accurately and efficiently is crucial for success. However, many traditional CRMs fall short in providing the necessary tools and insights to effectively manage these leads. Goliath Data offers a comprehensive solution that addresses these shortcomings with precision and innovation.
Common CRM Pitfalls in Distressed Seller Tracking
Traditional CRMs often lack the real-time data and advanced filtering capabilities needed to identify and engage with distressed sellers effectively. This can lead to missed opportunities and inefficient prospecting efforts. Here are some common issues:
Delayed Data Updates: Many CRMs do not offer real-time data updates, causing users to work with outdated information. This delay can be detrimental when trying to engage with motivated sellers promptly.
Lack of Seller Intent Signals: Without insights into seller motivation, CRMs fail to prioritize leads effectively, resulting in wasted time and resources on low-probability prospects.
Limited Filtering Options: Traditional CRMs often provide basic filtering options that do not accommodate the complex criteria needed to identify distressed sellers, such as financial distress indicators or life event signals.
Inefficient Outreach Tools: Without integrated communication tools, users must rely on external systems for outreach, leading to fragmented workflows and potential miscommunication.
How Goliath Fixes These Issues
Goliath Data transforms the way real estate professionals track and engage with distressed sellers by leveraging AI and real-time data. Here's how Goliath addresses the common pitfalls of traditional CRMs:
Real-Time Data and Insights
Goliath provides real-time seller data updated hourly, ensuring that users have access to the most current information. This allows real estate professionals to act quickly and engage with sellers before competitors do.
Advanced Filtering Capabilities
With Goliath, users can apply a wide range of filters to identify distressed sellers, including:
Location-based filtering by city and ZIP code.
Property attributes such as bedrooms, bathrooms, and property type.
Financial filters like price point, estimated value, and equity percentage.
Motivation and seller intent score filtering to prioritize high-probability leads.
Integrated Communication Tools
Goliath's platform includes built-in communication tools for calling, texting, and emailing, allowing users to contact high-value prospects immediately. This integration streamlines outreach efforts and ensures consistent communication.
AI-Driven Seller Intent Signals
Goliath uses AI to track life and behavioral signals, such as marriages, divorces, and job changes, to infer seller motivation. This enriched data helps users prioritize leads and focus on those most likely to sell.
Automated Workflows and Nurturing
Goliath offers automated follow-ups and drip actions to keep prospects moving through the sales funnel. Users can generate smart call lists, schedule appointments, and manage tasks seamlessly within the platform.
Conclusion
By addressing the limitations of traditional CRMs, Goliath Data empowers real estate professionals to prospect, nurture, and close deals more effectively. With its real-time data, advanced filtering, and AI-driven insights, Goliath is truly "the smarter way to build your pipeline." For more information or to get started with Goliath, contact us at sales@goliathdata.com or (423) 616-9231.
