Consistent $100K+ spreads from courthouse files

Consistently lands $100K+ spreads by doing fewer deals with deeper research on each one.
About
Avi Rasowsky transitioned from lead gen for investors to owning a unique niche in real estate, focusing on owner financing. By shifting away from expensive PPC, Avi now closes 10-15 high-value deals yearly with DataSift, exploring opportunities others overlook.
Operating market
North Carolina.
Favorite features
The Challenge
Avi came out of lead generation. He ran nationwide Google pay per click for other investors, then went local in Charlotte and kept Google as his own engine. Almost half his portfolio came from those leads. The problem was the meter. His cost per deal crept from the $2,000 to $2,500 range up over $3,000 and $3,500. Every dollar of cashflow went straight back into marketing.
Worse, he had no say in when leads showed up. One lead today, three tomorrow, then four days of nothing, which made projections impossible to manage. He had signed up for the software back in 2020 and let it sit. In August 2021 he shut Google off entirely to test a different idea: free courthouse data and the deals nobody else would finish.
What They Built
Free courthouse data instead of paid leads
Two sources feed everything. Tax delinquent files from county tax collectors, filtered to owners at least three years behind, because earlier than that nobody is motivated. And deed of trust foreclosure files from the courthouse, pulled week by week once a hearing is on the calendar. People he works with upload the cleaned files, so a fresh list is waiting when he opens DataSift.
The data costs are free because I'm getting it from the courthouse.
A few hundred files, worked to the end
There is no bulk dialing and no ten thousand record list. He filters down to deceased, tax delinquent owners in one county, removes the opt outs, and picks the day's targets from what remains.
I don't deal with a lot of data. I'm dealing with a few hundred files and I will go into those few hundred files for as long as I need to.
Deep research where everyone else quits
The work is estate files from 1979, Ancestry lookups, every skip tracing angle, and sometimes calling the shop across the street. One neighbor left a note in a mailbox and the owner called back the next day. Every note lands in the record, so he never starts a file dumber than he left it. Some properties take months or years, on purpose.
I wanna spend time where I know I'm gonna hit a brick wall.
Buying at wholesale, selling at market value
He still buys at wholesale prices, but he stopped selling at them. Deals exit with owner financing at full market value, which turns each file into equity plus monthly cashflow. Ten to fifteen deals a year is the whole plan.
Before and After

Before 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
After DataSift
- Tens of Thousands Spent on Masterminds That Never Fit
- Got Crushed Wholesaling Cleveland Virtually From New York
- Career-biggest payoff under agreement after a year of deep prospecting
- A 1,300-lead vacant property gold mine in two counties
- One shared database with his agent wife for three years
- Guru models demanded VAs and a big company he never wanted
- His investing and her listing business never connected
- Ten years flipping houses with no shared system
- One Call and One Text Found His Last Buyer
- A Deal About Every Three Weeks, Pushing for Two
- Eight Deals Working in the Middle of the Slowdown
- A $7,000 Mail Campaign Went Out at 56 Percent of Value
- Three to Five Active Listings in Every Subdivision He Underwrites
- Colorado Prices Down 9 to 11 Percent by May
- Callers Hunt Correct Numbers, Closers Take Over
- Returned Mail Tagged And Worked As Its Own Bucket
- 6 Deals In One Month From Year-Old Data
- Eight Months In Before Working The Data Right
- Bulk Dials On Call Tools Produced Nothing
- 100K Records Added, Team Spinning Its Wheels
- Mail, three call attempts, then the rehash pool
- 150 records a month, skip traced twice before dialing
- Full authority probates only, five Southern California counties
- 15 to 20 grand across seven months of last year
- Calling agents and MLS, never direct to seller
- No CRM, just a phone, a computer, and email
- $56K Largest Single Assignment
- A VA Pulls County Probate Data Daily
- $5,300 Total Expenses, About $441 A Month
- $210K In Fees From 7 Deals In A Year
- Every Conversation Started Cold
- No Pipeline, No Aged Database, No Team
- Random Calling On Whatever Records He Found
- Started September 2023 With No Probate Experience
- $95K Spread Closed In 21 Days
- All Four Questions Answered On Every Lead
- 120 Qualified Sellers In The Pipeline
- $1M+ Company With SMS As The Core Channel
- Tracking It All In Podio, Then Another CRM
- Doing What Everybody Else Was Doing
- Downloading Every Record Providers Would Give Him
- Churn And Burn Message Blasts
- One Contract For Every 10 Leads
- 100% Of Deals Sourced Inside The System
- $1M+ In Assignment Fees In 2023
- Almost All Deal Flow From Driving For Dollars
- Bouncing Between Tools Looking For One That Stuck
- Leads Tracked In Excel Sheets, Antiquated And Scattered
- First Flip Finished And Live On Market
- Partner Funding Instead Of 18-22% Hard Money
- Probate Cleared In A Week And A Half
- About One Deal Per 15 To 20 Doors
- Door Knocks The Foreclosure List Top To Bottom
- Severely In Debt, Couldn't Keep Up
- A Couple Of Years To Get In Gear
- Worked Hard For Two Weeks, Then Stopped
- 12 Years In Oil And Gas, Then Nothing Left
- $10K Deal From A Q3 Not Interested Lead
- Follow Up Brought The Seller Down $40,000
- Two First To Market Contracts In One Week
- Dedicated Caller Works The First To Market Flow
- Eviction Records Pulled Straight From Two Counties
- Outbound Marketing Completely Phased Out
- Credit Card Debt From Bad Marketing Advice
- Two Years Of Shiny Object Crash And Burn
- Absurd Data Subscription Costs Draining The Business
- $61,644 Net From A Lien List Rehash
- Tracks Wrong Numbers, Cuts Skip Trace Spend
- Emails The Township For Exact Lien Payoffs
- Rehash Filters: Mobile Numbers, No Response, Liens
- Next Day Follow Up Text Gets The Reply
- Lien Lead Silent Since February 2024
- No Follow Up Text After A Silent First Message
- Unknowingly Recycling The Same Data
- Pulling 10,000 Record Lists The Old Way
- 15 Heirs Signed, $37,500 In One Month
- Skip Trace, Upload To Sift, Call Fast
- Small Problem Lists Over Huge Data Sets
- Targets Deeds Of Trust 12 Years Or Older
- Checks County Foreclosure Postings Every Morning
- Bulk Absentee And Owner Marketing Dried Up
- 150 Mile Days Driving Project To Project
- Six Renovations Running At One Time
- Full Time Rehabbing Since 2015
- Sellers Now Calling In From Her Mail
- One Hot Lead Plus Tons Of Correct Numbers
- Mails Only The 54 Absentee Petitioners First
- Google Form Auto Formats Data For Upload
- Pulls Probate Filings Daily Across Three Counties
- Left A Company, Unsure She Could Pull It Off
- Tedious Copy And Paste List Formatting
- Struggled To Pull Data From Her County
- Years In California Trying To Figure It Out
- 135,000 Records Organized Into Buckets
- A Lead Every 10-15 Calls
- Pre-probate Inherited Niche, 60% Sell Within Two Years
- New Process Closed Its First Deal In 30 Days
- Thursday Deep Research, Offer Accepted By Monday
- PropStream Lists And Bought Probate Data
- Return Mail Dead-ended, Records Sat Dormant For Years
What changed
The turning point came when Avi recognized the inefficiency of PPC's high cost per lead. Shifting to DataSift's strategies, he quickly saw a substantial return, with an $80k deal within the first month, validating his move towards a cost-effective, high-impact approach.
Avi Rasowsky's journey illustrates the power of strategic adaptation and the value of targeted, efficient tools like DataSift in achieving sustainable success in real estate.
The Results
The math changed by an order of magnitude. Wholesaling paid him $8,000 to $12,000 per deal on average. Today a typical spread runs $100,000 to $110,000, and he loses interest below $50,000 or $60,000. One 2023 file shows the model. He bought 1.92 acres for $33,000 all in and sold it for $230,000 on a five year note. That is a $197,000 spread before interest.
The test paid for itself in the first month. He switched off Google in August 2021 and landed an $80,000 profit deal that September. He never turned Google back on. The data is free, overhead stays very low, and the expensive part of the process is time he chooses to spend.
REI sift makes it easy to document all that. Whereas if I tried to do it without REI Sift, I would get lost before I even started.
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