$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
- 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
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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