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Phil

One deal a week to three deals a week in four months

Stacked niche lists, a bulk calling company fed 60,000 records a quarter, and a text before every call.
Phil
Case study

Engagement beats conversation. His team texts sellers 10 to 15 minutes before every call and lets deals develop over text before the phone close.

3
Deals a week in April 2026, two weeks running
4
Contracts signed in 10 days (April 2026)
60,000
Records sent to his bulk callers each quarter
Revenue
3
Team size
5-10
Market
Kansas City
Niche
Stacked niche lists: 30 to 35 percent minimum equity, built 2010 or older, absentee owner plus vacant, foreclosures; AI-scored data added April 2026
Monthly overhead
N/A
Time to first deal
First contract in month one (January 2026)
The big win
From his first direct to seller campaign to three deals a week in four months
I hired some mail company to go send it out for me. And that was like $10,000 worth of nothing.
Two virtual acquisition agents, his dad in California and Nico in Colombia, plus a bulk calling company and a third hire starting from Honduras.

About

Phil has run companies for 30 years and worked real estate for 15, with a flipping business and a separate wholesaling business. He wholesales deals from one of his entities to the other to keep cash flow moving while flips finish. January 2026 was the first time in his career he marketed direct to seller.

Operating market

Kansas City

Favorite features

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SiftMap
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Owner Records

The Challenge

Phil had been in business 30 years and in real estate 15 when he found DataSift. Every property he ever bought came off the MLS or through other wholesalers. His one attempt at reaching sellers directly, years earlier, was a mail campaign he still calls "$10,000 worth of nothing." So he stayed out of seller marketing entirely and let other people find his deals.

When he decided to try again, he refused to rush it. He went through the challenge, learned the process, and built his systems through the holidays instead of jumping straight in. He launched in January 2026 with a constraint most starters do not have: two closers already on the team who needed to stay busy. That meant starting with PPL and a cold calling company for volume, not the county data he actually wanted. The fruits of January and February did not show until March and April.

What They Built

Lists small enough for one person to call through

Every list starts with a minimum of 30 percent equity and a build year of 2010 or older. Then he stacks distress on top: absentee owner plus vacant at the same time, or foreclosure. Two of the deals he signed in a week and a half were already sitting on one of those pulls.

Everybody on that house pretty much is going to want to sell their house at some point time. And it was a small list that I could have one person click to call through.

A bulk calling engine that never runs dry

His calling company gets 60,000 records a quarter, sent as five lists over five days, a mix of AI-scored data and stacked niche pulls. April was his first month on AI data, one county of five, scored 90 to 100. Every Friday they review dispositions together. Leads hit Slack and a zap drops them straight into his DataSift account.

Texting before every call

The team texts 10 to 15 minutes before dialing, calls, then follows up by text. Claude writes the scripts, and a Sift Line board moves records from Claude text to clear to call and back. One March deal got its offer over text before anyone reached the seller by phone. Trestle keeps the numbers clean so nobody burns dials on dead ends.

Rehash and follow-up as the deal engine

Lists worked in January were being worked again by the middle of February. Longer term follow-up lives on mid and long boards in the Sift Line, and his dad runs the active follow-ups that turn into contracts. Whisper AI dictation took call notes from a 5 or 6 to a 9.5 out of 10. A contract signed in January came from a November PPL lead.

They're going to give you one out of every hundred, you got to turn one out of every hundred into one out of every forty, and you can. You just have to really work it.

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

  • No Deep Understanding Of His Own Data
  • Gave Up Bulk Dialing And Texting Years Ago
  • Relying On Inbound Leads And Bought Deals
  • A Contract Per 12-13 Qualified Leads
  • 10,000-record Niche Lists, Filtered Monthly In Sift
  • Focused Down To Indiana And Ohio
  • Owns The Operation Now, 50-50 Split
  • $300K In Spreads In His First 90 Days
  • Almost $600K In Contracts Ghosted Or Backed Out
  • Five States At Once, Spread Too Thin
  • All The Profit Going To Someone Else
  • Running An Agency For 14-16 US Investors
  • Homegrown Closer Converts Over 20% Of Offers
  • Text Blasts First, Smaller Call Lists After
  • Whole Philadelphia Metro Recycled Through Rehash Campaigns
  • Sequences And Lists Fully Dialed In
  • Over 50 Deals A Year Across Two Companies
  • New Construction Plans Stalled By Rates And Costs
  • Deep Prospecting Alone, Before Any System
  • Two Cheap College Duplexes, Bought With A Partner
  • Everything Done By 6pm
  • $1,500-1,800 A Month Total Marketing Spend
  • 150 Dials A Day, First To Market
  • 200 Probates A Month From Weekly Courthouse Runs
  • $800K A Year Running Solo
  • No Online County Data In His Market
  • Long Hours Getting The Business Started
  • Years Of Flips And Contractor Headaches
  • Tuesday At 2 Hunts Generate His Own Deals
  • 4 Deals And $330K Equity In 30 Days
  • Sales Leader Owns Leads, Casey Tunes Systems
  • 325,000 County Records, Scrubbed Nightly By VAs
  • Full Operation: Acquisitions Agents, Sales Leader, VA Data Team
  • Team Waiting On Leads To Come In
  • Doing Well, But Knew He Could Do More
  • Watching Every Lead Himself, Day To Day
  • Callers Grinding Through Manual Data
  • Two-man Team: Casey Plus One Acquisitions Guy
  • Cutting edge 1-1 sales and marketing integration
  • Improved accuracy when making offers and estimating rehab costs
  • Leak proof communication between clients, buyers and contractors
  • Thorough marketing and acquisitions from anywhere in the world
  • Real estate companies that want documented communications with contractors, clients and buyers
  • Wholesalers who want to enter into new markets
  • Investors looking to have leak proof marketing and acquisitions
  • Anyone looking to wholesale virtually
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  • Tips and tools you can use to get a steady flow of money coming in, no matter what's happening out there.
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  • Unorganized Data
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  • Basic Marketing Approach
  • Poor Data Management
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  • Refined Direct Mail Strategy
  • Clarity In All Business Operations
  • Enhanced Team Management
  • Strong Lead Management Flow
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  • Effective Marketing Flow
  • Limited Marketing
  • Targeting Constraints
  • Poor Lead Management
  • Difficult Team Management
  • Reactive Marketing
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  • Empowered Data Management
  • First to Market Strategy
  • Automated Processes
  • Strategic Focus
  • Improved Lead Prioritization
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  • Low Level CRM
  • Successful But Hitting a Wall
  • Missed Opportunities
  • Poor Data Management
  • Data Driven Decisions
  • Full Data Clarity
  • Consistent Deal Flow
  • Strong Marketing Flow
  • Lacked Marketing Clarity
  • Difficult Marketing Flow
  • Inconsistent Deal Flow
  • Strong Lead Management Flow
  • Strong Marketing Flow

What changed

The pivot came in February, one month into marketing. The old playbook said get every seller on the phone, and his team kept grinding at it. Then they noticed sellers would answer a text when they would not take a call, especially after the Apple update. "We changed in February and said we need to interact with people. We don't need to get them on the phone. So, we leaned into texting with people." Conversations now run a week or two over text before the phone close, and the pipeline stays full of what Phil calls little acorns waiting to turn into deals.

The Results

The acquisitions Slack group was named one deal a week first, then two. By this April 28 mastermind it had been renamed three deals a week, a pace the team had hit two weeks running. Phil posted four contracts in 10 days, then two more possible contracts on a single Monday. His wholesales average $12,000 to $15,000 and his flips net $25,000 to $35,000. Four contracts in 10 days at his average assignment fee is $48,000 to $60,000 of pipeline in a week and a half.

Of every 20 contracts he takes down about 10 to flip himself, and at least 8 of the 10 wholesales close. The honest zero: three weeks and roughly 150 to 200 handwritten first to market mailers have produced no callbacks yet. Before January, every deal in 15 years came through the MLS or another wholesaler. Now a CRM that is only five months old carries the whole pipeline, and he is hiring another prospector to add a second AI county in June.

I don't have some real sexy like do this, do that. It's systems and work is really all we're doing.

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