$74k flip from one targeted list.
Even experienced investors can waste time chasing leads that never convert. Lauchman Real Estate Corp, a seasoned investor and operator in the Ellicott City area, was looking for more accurate contact information and motivated property owners. Their past campaigns often led to dead ends, and they needed better data to keep their acquisitions pipeline full.
targeted property records
reported contact match rate
to a closed deal
net profit
The property before the deal took shape.
Start with a narrower list. Work it hard.
Lauchman used Wholster to build a targeted list of 10,000 properties in their preferred zip codes, combining condo ownership with signals of potential seller motivation. Once the list was built, they retrieved owner contact data and handed it off to their cold calling team.
Lauchman retrieved owner contact data for the targeted records, with the results delivered the same day. Each record included the property address, mailing address, owner name, and multiple contact numbers. The reported match rate was over 85 percent.
This system allowed them to qualify opportunities quickly and stay focused on sellers who were serious.
All this within just one month.
In the first month of working the list:
The list mattered. The process did too.
Targeted filters
Targeted filters helped focus the list on the right properties from the start.
High match rates
High match rates meant more sellers were reachable.
Speed to execution
Speed to execution kept momentum high.
Warm lead handoff
The warm lead handoff process allowed the team to qualify leads efficiently before passing them to the acquisition side.
Turn better targeting into better conversations.
Wholster helps you find properties worth pursuing, narrow your search using ownership, equity, and signals of potential seller motivation, then retrieve the owner contact data you need to start outreach. Whether you’re working solo or running an acquisitions team, the goal is the same: spend more time talking to the right owners and less time working lists that were never a fit.
Explore property discovery