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AJ Jefferson

11 seller leads on autopilot while on vacation

Runs daily first to market foreclosure pulls in New Jersey with a data VA and a dialing VA, so leads land while he is away.
AJ Jefferson
Case study

Generated 11 motivated seller leads on autopilot while on vacation. CRM automation made it possible.

11
leads waiting after his Florida trip
5 days
a week of fresh foreclosure pulls
15-45
touches behind a typical contract
Revenue
11
Team size
2-4
Market
New Jersey
Niche
Foreclosure, FTM data
Monthly overhead
$2,000-$2,500
Time to first deal
N/A
The big win
11 Leads on Autopilot While on Vacation
It feels terrible. You don't know when the next one's coming.
A full time data VA cleans and uploads records, a second VA makes first contact calls, and AJ handles every lead after that. A second skip provider backs up dead numbers.

About

From the grind at a grocery warehouse to mastering New Jersey's real estate scene, AJ's story is one of true grit meets innovation. He ditched the chaos of spreadsheets for something that actually made sense.

Operating market

New Jersey

Favorite features

Icon Direct Mail
Siftline
Icon Direct Mail
Phone Number Tagging
Icon Direct Mail
Sequences

The Challenge

AJ started in a grocery warehouse freezer, headphones in, listening to Tyler while he plotted a way into real estate. His first system was a Google Sheet. It was slow, it was tedious, and it could not tell him how many times he had called anyone. He took notes and hoped.

The business itself ran on chaos and luck. Dialing, smiling, and never knowing when the next deal would show up, then nursing every lead by hand. New Jersey foreclosures made it harder: sellers get blitzed with around 200 touches in the first two weeks and stop answering the phone. Being the fifteenth caller on a beat up list was not a business. He needed the records nobody else had reached yet, and a machine that kept working when he stepped away.

What They Built

A data pipeline that runs overnight

Fresh foreclosure records come in five days a week, whenever the state releases them. His full time data VA spends about four hours cleaning a typical 40 record day and loads everything into DataSift overnight. Skip tracing happens right inside the platform, so numbers are attached before anyone dials.

I'm blessed. I have a full-time data VA. She's excellent and she's very cheap.

First contact before he is even needed

A second VA opens each morning with the first to market presets and dials every new record. Each touch runs the full flow: call, voicemail, text, logged as one attempt. When she reaches someone, she warm transfers or tasks the lead over. AJ only enters the picture once there is a real conversation.

Exhausted records as a second mine

In his target counties, records that die after three attempts or bad numbers do not get archived. The data VA digs back in, pulls a second set of numbers from another skip provider, and hunts relatives. His Middlesex deal started exactly there: a failed third attempt, then she found the younger brother, and the rapport she built carried the deal.

They weren't getting called. That's what I'm trying to tell you.

Sequences that do not care where he is

Tags and statuses trigger sequences, sequences create tasks, and tasks land on the right person every day. Leads move across his board through 15 to 45 touches until there is a contract, a referral, or an endless drip. That is the machine that stacked up 11 leads while he was at a mastermind in Florida.

Before and After

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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

  • 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

While working in a grocery warehouse, AJ's engagement with Tyler's content inspired him to join DataSift, marking the start of his transformative journey in real estate.

The Results

The headline number is small and it matters: 11 leads from two dial days, Thursday and Friday, waiting when he got home from Florida. Nothing paused because the owner left. The whole operation runs on $2,000 to $2,500 a month in overhead.

The Middlesex pre-foreclosure deal shows the depth. The record came in in September and went exhausted on the first set of numbers. It became a lead about two weeks later when his VA found the brother. Contract in September, closed January 31 after months of title work across three heirs. Before DataSift he tracked calls in a Google Sheet and ran on luck. Now the KPIs flag a problem before it becomes a missing contract.

It is very hard work, but the steps are simple.

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