$300K in spreads in 90 days on niche county data
$300K in 100 days operating a remote Egypt-to-US wholesale operation with a 7-person team.
About
Alex, based in Egypt, spent three years building cold callers and systems for 14 to 16 US investors. He sold the agency, went 50-50 with a US acquisitions partner, and now runs the data, dispositions, and calling side.
Operating market
Indiana and Ohio. The team spread into Texas, Florida, and North Carolina, made less profit, and pulled focus back to those two states.
Favorite features
The Challenge
Alex is a software engineer from Egypt who spent three years in US wholesaling without owning any of it. He worked agency-side as a client success and data department head, then ran his own agency. He staffed cold callers, acquisition managers, and disposition managers for 14 to 16 American investors, big and small. Every system he built made someone else the money. The last investor he partnered with finally asked why he was not doing this for himself. He sold the agency and went principal, splitting 50-50 with a young US acquisitions manager.
The first months proved how thin a new operation can spread. They started in Indiana, then added Texas, Florida, Ohio, and North Carolina, pulling PropStream lists alongside county records. They were not losing money, but profit shrank as the map grew. The fix was the opposite of expansion: cut back to Indiana and Ohio and go deep on fewer records.
What They Built
Pulling fewer records and dialing them until they answer
Instead of 50,000-record vacant lists, the team pulls around 10,000 tightly filtered county records: evictions, probates, foreclosures, first to market. Monthly filtering inside DataSift keeps the data clean, and an API connection to ReadyMode feeds the dialer without manual exports.
Instead of pulling a list of 50,000 vacants, we'd only pull 10,000, but we would literally dial them over and over and over again, using REISift to basically monthly filter out the data, keep track of everything.
Running a US deal team from Egypt
Two cold callers, one acquisition rep, one disposition manager, and two VAs work remotely from Egypt. His American partner handles acquisitions and contracts on the ground, and everything splits 50-50. On the morning of the call, agents dialing for two hours had already produced six qualified leads.
Qualifying hard so the funnel math holds
Bad leads do not pass into the pipeline, and the ratios stay stable because of it. Roughly 12 to 13 qualified leads produce a contract. On first to market records, about one in five qualified probates becomes a deal.
Out of every 12 to 13 qualified leads, we get the contract and with FTM records out of every five probates, we got a deal.
Targeting the owner who shows up on ten lists
A DataSift case study from another investor, Kara, reframed his approach: stop counting records, start counting motivation signals stacked on a single owner. The owner on ten lists gets the heavy targeting, not the 300,000-record pile.
Before and After
Before DataSift
- A VA Works Every No-Contact Lead in DataSift
- Daily Follow-Ups Run From the Sift Line Tasks
- Nine Deals Under Contract After the Stacked Niche Switch
- Cold Callers Sent KPIs by Hand Outside the System
- Expensive PPC Spend With No Return
- Follow-Up Leads Vanished Into an Abyss in the Old CRM
- 60,000 Records a Quarter Feeding His Bulk Callers
- Four Contracts Signed in 10 Days
- Three Deals a Week, Two Weeks Running
- First Direct to Seller Push in 30 Years of Business
- A $10,000 Mail Campaign That Produced Nothing
- 15 Years Buying Only From the MLS and Wholesalers
- New lender agreed 12 days after the first collapsed
- $105,696 net profit after closing costs
- Nine properties contracted at $360K, sold at $450K
- Hard money lenders would not lend on rural portfolios
- Local title companies refused assignments and passthroughs
- Seller would only sell one house, priced far over appraisal
- Still Runs on a $500 Monthly Budget
- An $85K Deal Off a 50-Name Stacked List
- 13 Contracts in Six Weeks From 250 Prospects
- About $40K Spread Across Six Months, Still Behind
- Five Contracts in a Row Fell Through
- Shotgun Lists Across Too Many Zip Codes
- One Contract Per 25-35 Leads, Half the Typical Ratio
- Each Caller Brings 16-18 Leads a Week
- 50,000 Free County Records Called on a Four-Month Cycle
- Two Partners Dialing Everything Themselves From 2017 to 2019
- VA Cleaned Every County Download by Hand in Excel
- Another Blanket ListSource Pull Whenever the Pipeline Ran Dry
- Same county-data system expanding into Texas and Miami
- $800K in revenue from six or seven deep-research deals
- About 20 people across data, calling, research, and sales
- PropStream tax delinquent lists arrived after owners had already paid
- Two years hunting a golden list that did not exist
- Bandit signs at intersections, cold calling all day from a coffee shop
- Four deals closed faster than his first three
- 8,200 dials and 25 leads in one November
- Four VAs running one calling and texting protocol
- Generic YouTube advice with no sequence to follow
- Back at a sales job four months after going full time
- Spent $35,000 on marketing with zero return
- About 35 Leads Per Deal Across 347 Total Leads
- $253K In Cash And Equity From One Package Deal
- 40 Properties Wholesaled In Under Four Months
- 12-Hour Days And A 45-Minute Commute
- No Deals Found Through Realtors, MLS, Or Craigslist
- Cold Calling From A Printed Spreadsheet In The Parking Lot
- Pulls Nearly All His Data Straight From the County
- Runs Jacksonville Virtually on $1,000 a Month
- Locked a Contract Four Days After His January Restart
- Scattered Across SMS, Facebook Ads, and a Website
- Partner's $2 an Hour Caller Hit a 1% Contact Rate
- Called Lists Three Times Then Trashed Them
- 50,000 sqft warehouses in negotiation, one to two leads daily
- $59,000 spread on his first big wholesale deal
- Every eviction filed in New Jersey, worked daily
- Old CRM buried callers in highlight and right-click drama
- Phenomenal months, then crickets for months
- Overnight pharmacy shifts, 84 hours in a single week
- Knows the playbook works and is replicating it
- First off-market contract four months after starting
- $250,000 assignment fee on deal one
- Weak cash position after funding ground-up projects
- Questioned whether real estate money was even real
- Two years spending on development deals, not making much back
- $40,000 month tracking with fixed costs
- Five first to market deals since April
- Probate filings pulled daily in multiple counties
- Two mail campaigns, response rates he did not like
- Costs fluctuated month to month with list spend
- Custom Podio build, broad absentee and vacant lists
- Owner buried beside her son after two years unclaimed
- Runs every heir search solo now
- Five heirs found, contacted, and signed across Texas
- Needed a specialist for her first deep heir search
- Paper records only, fathers listed by initials
- Probate leads dead-ended with no findable heirs
- Every No Recycled On A Two-Year Rehash Cycle
- Three VAs Clean Data Before A Single Dial
- Three First To Market Niche Filters Worked Daily
- Loose Onboarding And Under-Corrected Bad Hires
- Team Swung From Large To Small To Solo
- Broad Marketing Across Every Niche At Once
- Mornings and evenings back with his family
- 8 person crew handles whole projects in sets of two
- 40+ properties across three portfolios in about six months
- Afraid to take on payroll and a crew
- The bottleneck on his own projects
- Software job eight to five, real estate five to midnight
- 55% Answer Rate On One-By-One Click To Call
- Free County Data Replaced Every Paid List
- $45K Fee Closed One Week After The Callback
- Podio, Slack, And Multiple VAs, No Traction
- 30,000-Record Lists Dialed Two Or Three Times Through
- At Least $40K Wasted On Lists And VAs
- Four Marketing Attempts on a Couple of Lists
- A Three-Person Team at About $1,800 Cost Per Contract
- Almost Two Years Nomadic Across Asia, Europe, and the Middle East
- Behind a Jacksonville Desk 95 Percent of the Time
After DataSift
- Achieved Data Clarity
- Consistent Deal Flow
- Inconsistent Deal Flow
- Poor Marketing Flow
- Little Data Clarity
- Relied On Google Sheets
- Consistent Deal Flow
- Data Clarity / Organization
- Wholesales, Flips And Does Retail
- Strong Marketing Flow
- Didn't Understand Data Management
- Strong Real Estate Agent
- Wanted To Break Into Wholesaling But Didn't Know How
- Healthy Scale
- Data Driven Decisions
- Consistent Deals
- Strong Marketing Flow
- Inconsistent
- Little Data Insight
- Unorganized Bulk Marketing
- Strategic Focus on Niches
- Enhanced Lead Flow and Certainty
- Streamlined Marketing Process
- Efficient Use of Data
- Direct Mail & Deep Prospecting
- Broad, Unfocused Strategy
- Inconsistency in Results
- Dependency on Luck
- Marketing Clarity
- 6 Figure Months
- High Deal Volume
- Strong Marketing Flow
- Proper Data Management
- Weak Marketing Flow
- Poor Data Management
- Lack of Focus
- Manual Efforts
- Successful Scale
- Total Data Clarity
- Clear Marketing Approach
- Large Deal Spreads
- Improper Data Management
- Poor Marketing Method
- Inconsistent Deal Flow
- Strong Marketing Flow
- Clear Data Management
- Clear Data Management
- Successful Scale
- Many ways to close deals
- Large deal spreads
- Poor data management
- Unable to scale properly
- Poor marketing flow
- Smaller Deal Spreads
- Increased Deal Volume
- Platform Utilization
- Realtor Collaboration
- Funding Efforts
- Lots Of Deals
- Data Driven Decisions
- Strong Marketing Flow
- Sales And Marketing Clarity
- Poor Data Management
- Poor Marketing Flow
- Relied On Bulk Marketing
- Lack of Clarity
- Automated Acquisition
- Strong Marketing Flow
- Data Driven Decisions
- Structured Follow-ups
- Increased Lead Generation
- Achieved Sales And Marketing Clarity
- Manual Acquisition Processes
- Ineffective Marketing Flow
- Minimal Lead Insights
- Poor Follow Up Flow
- Inconsistent Lead Generation
- Lacked Sales And Marketing Clarity
What changed
Alex niches down instead of scaling list size. He works first to market county records, evictions, probates, and foreclosures, plus small PropStream lists. Instead of 50,000 vacants he pulls 10,000 and dials them on repeat through the ReadyMode integration. He refilters the data in DataSift every month so the team only dials current records.
The team made $300K in wholesale spreads in 90 days, with almost $600K more in contracts that ghosted or backed out. A contract lands from every 12 to 13 qualified leads, and about one of every five qualified probates turns into a deal. The operation started with two cold callers, one acquisitions manager, and one dispositions manager.
Instead of pulling a list of 50,000 vacants, we'd only pull 10,000, but we would literally dial them over and over and over again, using REISIF to basically monthly filter out the data, keep track of everything, and with the API key going with ready mode, it's been like an absolute blast, honestly.
The Results
In roughly 100 days the operation made $300K in wholesale spreads. Over the same stretch another $600K in contracted spreads died: sellers ghosted, backed out, or deals fell through. Alex's own accounting is blunt. Follow the complete DataSift system from day one and the total lands at $600K or more. The miss is part of the math, and he says it out loud.
The before and after is ownership. Three years of agency work meant fees while 14 to 16 clients kept the spreads. Six to seven months after going principal, his own 50-50 operation banked $300K in about 100 days. The funnel behind it is countable. Two hours of dialing brought six qualified leads. Roughly 12 to 13 qualified leads bring a contract, and about one in five qualified probates becomes a deal.
It's honestly not that big of a deal as everyone thinks. I think it's just a data game and you have to plan it out right.
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