Real Estate Virtual Assistant specializing in lead generation, motivated seller research, distressed property data, and CRM management for U.S. real estate investors.
I have experience researching foreclosure, eviction, probate, and distressed property leads across U.S. county public records.
I specialize in backend real estate operations including foreclosure research, eviction data mining, skip tracing, and lead database management.
I focus on identifying motivated sellers and distressed property opportunities through accurate public records research.
If you need someone reliable to manage your real estate data and lead systems, I can help.
Here’s what I can do for your business:
• Distressed & Motivated Seller Lead Research
• Foreclosure & Public Records Data Mining
• Eviction & Court Record Research
• Skip Tracing (SmartSkip)
• CRM Management (Podio & Airtable)
• Lead List Organization & Database Cleaning
• SMS Campaign Backend Support (REI Reply, SlyText, QUO (formerly OpenPhone), SmartContact)
• Property Research (Zillow, Redfin,
I’m detail-oriented, organized, and experienced in handling large real estate datasets with accuracy and consistency.
If you're looking for a reliable VA to support your real estate operations, I’d be happy to help.
I’m experienced in working with large real estate datasets and maintaining accurate lead databases for acquisition teams.
Experience: 2 - 5 years
Generated real estate leads through foreclosure and eviction research, public records extraction, distressed property identification, and property owner data gathering for investor outreach campaigns.
Experience: 2 - 5 years
Entered and organized high volumes of real estate lead data including property details, owner information, and contact records using spreadsheets and CRM platforms.
Experience: 2 - 5 years
Collected property and owner data from county websites, court records, and online databases, compiling structured lead lists for CRM systems and marketing outreach.
Experience: 2 - 5 years
Extracted and recorded relevant property and owner data from legal documents, foreclosure listings, and court records into structured lead databases.
Experience: 2 - 5 years
Used Excel to organize lead lists, clean data, filter records, and structure property research information for real estate lead generation campaigns.
Experience: 2 - 5 years
Conducted detailed online research to locate property information, ownership records, and legal filings from county and public record sources.
Experience: 1 - 2 years
Reviewed and analyzed property and lead data to identify distressed properties, verify records, and filter qualified leads for investor outreach.
Experience: 1 - 2 years
Processed and organized large datasets including property records, lead lists, and owner information to maintain clean and structured databases.
Experience: 1 - 2 years
Used Google Sheets to maintain shared lead lists, update property data, and collaborate with teams managing real estate lead databases.
Experience: 6 months - 1 year
Assisted in prospecting activities by identifying potential property owners and preparing contact lists for outreach and acquisition teams.
Experience: 1 - 2 years
Organized email communications, tracked responses from property owners, and maintained inbox systems related to lead management workflows.
Experience: 1 - 2 years
Reviewed and analyzed property and lead data to identify distressed properties, verify records, and filter qualified leads for investor outreach.
Experience: 1 - 2 years
Conducted market research to gather insights on property areas, ownership data, and investment opportunities relevant to real estate lead generation.
Experience: 1 - 2 years
Performed skip tracing using tools such as SmartSkip to locate property owner phone numbers, emails, and mailing addresses for lead outreach campaigns.
“I had this VA that I could turn things over to made it a lot easier”
Kyle Mckenna
SEE MORE REAL RESULTSOnlinejobs.ph "ID Proof" indicates if "they are who they say they are".
It DOES NOT indicate skill level.
ID Proof scores are 0 - 99 with 99 being the best. It is calculated based on dozens of data points.
It's intended to help employers know who they're talking to is real, and not a fake identity.