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Using LightBox True Owner
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Using the Data
Identify Actionable Property Contacts
Use the ASSESSMENT_LID to retrieve specific LightBox True OwnerSM records.
Access direct emails and phone numbers for individual owners, corporate officers, or key business representatives.
Confidence scores help prioritize records.
Expand Ownership Research
Utilize PERSON_ID to find additional properties linked to the same individual.
Discover entire portfolios owned or managed by a contact.
Enhance Due Diligence & Outreach
Filter contacts by corporate roles (CEO, CFO, Manager etc.) to target decision-makers.
Validate last-seen contacts timestamps to ensure outreach accuracy.
Access business phone/email details when individual contacts are not available.
Linking LightBox True Owner Data to Other Datasets
Beyond direct property contact identification, LightBox True Owner data provides a rich foundation for advanced analytics, AI-driven insights, and cross-dataset linking. By integrating this dataset with other data sources and leveraging machine learning and other technologies, businesses can uncover hidden relationships, predict market opportunities, and enhance decision-making.
By connecting LightBox True Owner with additional datasets, organizations can:
Uncover Hidden Ownership Patterns
Link PERSON_ID across property tax records, corporate registrations, and leasing databases to map entire portfolios owned by individuals or businesses.
Identify related entities (e.g., subsidiaries, investment groups) by analyzing shared contacts across multiple properties.
Detect shell companies and indirect ownership structures often used in real estate transactions.
Enrich Market & Investment Insights
Integrate with lending & financial data to assess borrower risk and loan exposure based on the true breadth of a person’s or company’s holdings.
Cross-reference with tenant and lease datasets to evaluate portfolio occupancy risks and opportunities.
Improve Contact Intelligence & Sales Targeting
Link LightBox True Owner contacts with business registries, LinkedIn, or CRM databases to build a more complete profile of decision-makers.
Apply NLP to email domains and phone numbers to categorize contacts by industry, business size, and role relevance.
Use transactional history to identify owners more likely to sell, refinance, or lease properties.