$458K in his first 7 months
$458K net in 7 months by going all-in on probate. One niche, one system, massive results.
About
Quentin Jivery's journey in the Central Florida real estate market is a testament to transformation and strategic focus. Transitioning from a carpenter and dabbling in real estate through traditional methods, Quentin's approach before discovering DataSift was characterized by a lack of direction and reliance on disparate tactics.
Operating market
Central Florida's competitive landscape served as the backdrop for Quentin's real estate endeavors, where he initially found modest success through conventional methods.
Favorite features
The Challenge
Seven months before this interview, Quentin worked full time as a carpenter. He came home and called agents and sellers from 2pm to 8pm, every evening. He closed a few deals that way, but there was no system behind them, just records, dials, and hope.
A DataSift user, Cameron Johnson, introduced him to the platform, and the correct number tracking hooked him immediately. The start was still rough. He assumed he was looking at list stacking software, and for the first 15 days he was struggling and confused. He asked the community so many questions he calls himself a pest. Then Tyler logged into his account around 8pm one night and built his filter presets himself. Quentin still runs those same presets today.
What They Built
Fresh probate records in the account every morning
A data person pulls the previous day's probates, foreclosures, and evictions from Hillsborough County and statewide Florida sources, then uploads them while Quentin sleeps. Beneficiaries get added up front with skip traced numbers from Skip Genie. It costs more, but the first call reaches someone who can actually sell the property.
One preset flow his caller runs the same way daily
His caller starts at cold call attempt three and works backward to ready to market, so no record gets doubled up or neglected. Each record gets calls and a text, a status update, and the system promotes it to the next preset automatically. Dials go into a free tally counter to keep the day honest.
He was like, shut up, stop complaining. Now do this every day and see what happens. And boom, within like two weeks I got a deal.
Caller ID checks before a record dies
On attempt three the caller pastes each number into a caller ID lookup, a trick Quentin borrowed from Kevin Hernandez. If someone else's name comes back, the record skips the exhausted pile and goes straight to the deep prospect board.
Deep prospecting the sellers nobody else reaches
His data person researches about seven deep dive records every morning and queues them for an initial call. That bucket produced his biggest single fee.
It was a deep dive. Nobody else was talking to this guy. Nobody, nobody else was talking to him. And it was amazing.
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
Quentin's perspective shifted dramatically after being introduced to DataSift by another user. Initially perceiving it as merely a list stacking software, he soon realized its extensive capabilities beyond his expectations. The platform's emphasis on number tracking illuminated the path to success, diverging from the conventional wisdom peddled by real estate gurus.
Quentin Jivery's case study underscores the transformative impact of adopting a focused, data-driven approach through DataSift, moving from aimless efforts to strategic successes in the Central Florida real estate market.
Quentin credits DataSift with enabling him to navigate the real estate landscape more effectively, stating, "If I listened to what the gurus were saying, I wouldn't have been able to make it in real estate."
The Results
Quentin went from evening dialing after carpentry shifts to $458K net in his first seven months, starting in February. Three deals closed inside the first two months, including a JV with the community members who helped him get set up. His latest close was a $37,000 fee on a Jacksonville deep dive deal nobody else was chasing. Another contract in the pipeline projects at $25,000 to $30,000.
The overhead is the bigger contrast. His caller costs $500 a month, plus skip tracing and tools, and he quit the carpentry job. He is blunt about the alternative: spending what others claim is required would leave him broke, miserable, and back at the job. Aimless 2pm to 8pm dialing became a simple daily system his caller and data person run while he works the leads.
It almost becomes addicting, because you can see everything so much clearer than you've ever seen in your data before.
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