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Dominic & Mark

$800K in revenue from 6-7 deep-research county deals

Daily county record pulls, cold callers trained to converse, and a research desk that finds the owners nobody reaches.
Dominic & Mark
Case study

The golden list does not exist. Public records are public, so the edge is pulling them from the county first and out-working everyone on owners nobody can reach.

$800K
revenue from their first 6-7 intuitive deals
20
team members today, started as two founders
2 years
of contact attempts on one deal until it closed
Revenue
$800K
Team size
10+
Market
Southwest Florida
Niche
Vacant, tax delinquent, no-mortgage properties with code violations or liens where probate has not been started
Monthly overhead
N/A
Time to first deal
N/A
The big win
$800K in revenue from six or seven deals that started as unreachable records
There's got to be like a golden list here, like a list that no one else is calling, and that's where all the deals are.
Two co-founders, seven overseas cold callers, a research team, US acquisitions, a lead manager, a transaction coordinator, and a director of sales

About

Dominic and Mark run Florida Sell Now, a Florida wholesaling company built on county records and deep owner research. They started with bandit signs and a coffee shop call list, then moved the operation onto DataSift in 2021. Five years later they run a team of about 20 and are expanding into Texas and Miami.

Operating market

Southwest Florida

Favorite features

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SiftMap
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Owner Records

The Challenge

Dominic and Mark started Florida Sell Now with sweat equity and almost no capital. Dominic was fresh out of college. Mark was still in college, stacking chairs at a beach hotel. They placed yellow bandit signs at busy intersections in the early morning hours. Then they posted up at a coffee shop and cold called a PropStream list all day.

The lists kept letting them down. Mark pulled tax delinquent records, then heard owners say they had paid their taxes months ago. For two years the pair hunted a golden list nobody else was calling, convinced that was where the deals hid. When Mark first saw a DataSift webinar in 2021, the platform felt like a whole other language, complex and complicated. He asked Dominic for a couple of months to figure it out anyway.

What They Built

County records pulled before the list providers update

Mark went straight to the source. Virtual assistants check county records every single day: tax delinquents, code violations, liens, pre-probate filings. The rows land in a spreadsheet, get filtered, skip traced, and tagged, then upload to DataSift. They started with two or three Southwest Florida counties, including Lee and Charlotte. Mark keeps the playbook honest: 'It's basically whatever's in the first to market challenge.' The point is beating other buyers, and the list providers, to the record.

This isn't just a list. This is data, and data is very very important here.

Cold callers trained to hold a real conversation

Seven full-time cold callers work the records from Egypt, Mexico, and the Philippines, three to five attempts each. Florida Sell Now trains them hard on what each list means. A pre-probate call does not stall when someone says the owner was their dad.

Our cold callers can actually have a conversation with them and not just, 'Oh, okay. Here's a lead.'

A research desk for the owners nobody reaches

When a strong record survives three to five attempts with no contact, callers post it to a shared Slack channel. The research team, led by Holly, spends 15 to 20 minutes on a first pass: relatives, neighbors, co-owners, obituaries. Private investigators pick up the dead ends. The network now runs the other way too. Sheriff deputies and code enforcement officers send them properties nobody maintains. After the pair spoke at Florida's statewide code enforcement meetup, 15 to 20 officers stayed in contact.

A brand sellers find before the first call

The company name carries the marketing, not the founders. A YouTube channel breaks down their most difficult deals, a TV ad runs in Southwest Florida, and SEO plus Google reviews back it up. Sellers have told them they researched every company in the area and picked the one with the best reviews. Private lenders watch the same videos and see actual operators before committing money.

Before and After

REISift logo

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

A couple of years in, Mark was trying to pull a code enforcement list in a difficult county and hit one record. The file read: owner deceased, probate never started, grass overgrown, junk car in the driveway. The property sat close to his house, so he got in the car and drove by. It was completely overgrown. "That was basically my intuition saying, 'Hey, if we can just make contact with the right person, then this is going to be a deal.'" Florida Sell Now calls them intuitive deals now, and a whole department grew out of that one drive.

The Results

The first six or seven intuitive deals brought in about $800,000 in revenue. Spread across seven deals, that is roughly $115,000 each, and Dominic says typical size runs into the six figures. He pegs the pace at one intuitive deal every month or two, quality over quantity. The longest chase took two years of contact attempts before it closed. Volume channels keep running underneath, so the big deals never have to carry the company.

The operation itself is the before and after. Two founders placing bandit signs became a team of about 20: seven cold callers, a research desk, US acquisitions, a lead manager, a transaction coordinator, and a director of sales. A director of operations comes next, hired to push AI into research and follow-up. The same county-data system is already live in one Texas county, with West Palm open and Miami planned.

A lot of people give up because they just don't put enough repetition into this. They quit, you know, when they're almost at the finish line.

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Won't I need to hire an acquisitions person to keep up?

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Your lead manager works six filters every day:

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When all six are empty at end of day, the day is done. No guessing. No drowning. No leads sitting where they shouldn't.

What happens to leads we never reach?

"For every hundred ghostings, I could probably pull another two deals at minimum a year out of them. That could be worth a hundred grand to my company every year."

You don't lose leads. You stop spending your lead manager's day on the ones who aren't talking back.

How long does setup take?

Your account ships with the lead management default build already wired. Boards, statuses, tasks, automations — ready on day one. Add your team, import your data, and your lead manager can start working leads the same afternoon.

Can I customize it?

Yes, but don't. Not at first. Run the default for 60 days. Prove your team has the discipline. Then extend. Most operators who break their CRM do it in the first 30 days by trying to make it "smarter."

I'm running bulk SMS through another tool. Do I still need this?

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No. DataSift works with any marketing approach. Sequential is the framework we teach because it's the one our top operators run, but you can use the platform for bulk-only, niche-only, drip-only, or any mix you already have working.

I want to do bulk marketing. I don't want to niche-prospect.

Run bulk. If you want the framework, Bulk Sequential is the one we teach — same flow as Niche Sequential, just at volume through power-dial integrations and bulk mail. If you already have a bulk approach that works, DataSift tracks the dispositions, the wrong numbers, the responses, and the rehash pool either way.

I'm a one-person operation. Is this overkill?

No. Niche Sequential runs at 150 to 200 new records a month. Small budget, small team, real results. Scale into Bulk when you're ready.

Will my team actually use this?

The marketing operator works a short set of filters every day: a needs-skip view, a ready-to-call view, the active touch cycles, a needs-mail view, deep prospecting, and rehash. Same loop every day. Nothing complicated.

What happens to records nobody ever reaches?

They don't disappear. After the call cycle is exhausted, records move to Deep Prospecting or back into a rehash cadence. The "every number wrong or dead" pool stays accessible for mail and door-knock campaigns. You don't lose records. You stop spending budget on the ones who aren't picking up.

Won't this take weeks to set up?

The default account ships with the four core Filter Preset folders, SiftLine boards, statuses, sequences, and task presets already wired. The Niche Sequential and Bulk Sequential workflows are recommended structures that go on top — typically added the same day you pull your first list.

How does a record get to me as an AQS?

The Lead Manager qualifies the lead, gathers motivation, and moves the card to "Send to Acquisitions" in the SiftLine board. The moment that card moves, a sequence fires: the Make Offer task is created, assigned to the AQS, and the card appears on the Acquisitions Board. The AQS doesn't set anything up. They open their Make Offer filter in the morning and it's already there.

For teams with multiple AQS people, tasks can be round-robin assigned so work distributes automatically across the team.

How many Acquisitions people do I need?

Fewer than you think. One dialed-in AQS inside DataSift can handle five or more offers a day. Before you hire a second AQS, hire a Lead Manager first — and make sure your first AQS is hitting their daily offer quota. The default build handles the prioritization, the follow-ups, and the handoffs. The person handles the conversation.

What if my AQS doesn't follow the system?

The Activity Log keeps everyone honest. Every offer, every follow-up, every call is stamped to the record. The Offer Follow-Up Overdue filter and No Tasks filter catch anything that fell through. The Lead Manager owns every lead — even while it's in AQS hands — and has every right to hold the AQS accountable for overdue tasks.

What's the offer follow-up cadence?

Make the offer on Day 0. Follow up Day 1, Day 2, Day 3, then Day 5. Call or text each time. If the seller needs more time, apply the task and change the due date — don't skip it. If there's no decision after one week, the contract expires and you restart the offer. Keep mailing the record until a contract is actually signed.

What does "Seller Considering" mean?

It's the offer status between "made" and "accepted or rejected." When a seller says they need time to think, update the offer to Considering and let the follow-up sequence run. It keeps the record visible in your Offer Follow-Up filter, tracks the offer against your KPIs, and makes sure no open offer sits without a next action.

How do we learn from rejected offers?

Tag rejected offers with "Review Rejected." At the end of every week, filter by that tag and do a call review with a team member. Once reviewed, swap the tag to "Reviewed Rejected." Over time you'll see patterns — objections you can handle differently, deal structures you're not using. Closing more deals starts with understanding why you're losing them.

Should I automate the offer follow-up tasks right away?

Not yet. Run the manual process first. Get consistent. The goal is to show up every day and do the work until it becomes second nature — then add the automation as a reward for the consistency, not a shortcut around it. One sequence worth adding early: auto-attach a Make Offer task when a card moves to the Make Offer phase. Everything else, do manually until you've built the habit.

What about the deals I lose — are they gone?

No. Rejected the offers recycle to Lead Management for nurture. No-decision records stay in the system with follow-up tasks.

Won't this take weeks to set up?

No. Your account ships with the Acquisitions Board, Task Presets, Sequences, and all eight Filter Presets already wired. Add your team, pull your first list from Lead Management, and you're making offers the same afternoon.

How does a deal get to dispositions?

The moment a contract is signed in Acquisitions, the record updates to Under Contract. That status change fires a sequence: the card moves to the Transactions Board, a Process Contract task is created and assigned to the Dispositions Coordinator, and the record is ready to route. The coordinator opens their task queue and it's already there.

What's the difference between the Transactions Board and the exit boards?

The Transactions Board is the hub — every contract lands there first. The coordinator reviews the deal, sets the exit type, and the card routes automatically. Wholesale, Flips, and Rentals each have their own phase columns and task presets built for that exit. The Transactions Board holds the Closed and Fell Through statuses — when a deal finishes, the card auto-removes from the active view.

What's the difference between the Wholesale, Flips, and Rentals boards?

Each board has its own phases and task presets. Wholesale moves through buyer activation, offer selection, and assignment. Flips move through scoping, rehab, and listing. Rentals move through scoping, tenant placement, and occupancy. Set the exit type and the card routes automatically.

How do I manage my buyers list?

Your buyers list is a pre-built list inside DataSift. Add buyers as records, tag them by buy box — market, price range, property type, cash or financed. When a wholesale deal is ready, filter by criteria, select the right buyers, and reach out directly from the record. Every conversation and offer logs on the deal.

How do I track profit across different exit types?

Every closed deal logs purchase price, total expenses, exit price or assignment fee, and net profit. Filter by exit type, month, or source list — no spreadsheet, no exporting. The data is on the record.

Can I run wholesale and flipping at the same time?

Yes. Both boards run independently inside the same account. Each has its own statuses, tasks, and sequences. One account, two pipelines, clean separation between them.

What happens to deals that fall through?

They update to Fell Through on the Transactions Board — the card auto-removes from the active view, a review task fires, and the record stays active. The seller is still in your account. Any future contact connects back to the original record. You never lose a deal. You sometimes lose the timing.

How do I know nothing is falling through the cracks?

Use the STAB-THEM check on every record: Status, Tasks, Assignee, Board, Messages. Run the Deals Missing Task filter daily — it surfaces every active deal without a next step. Every deal always has a status. Every status always has a next task.

How do I reverse engineer a closed deal?

Filter closed deals by source list, exit type, or marketing channel. Open any record and the full history is there — first marketing touch to closed exit. Days-to-close, profit, deal source, every step in between. That's your playbook for where to spend your next marketing dollar.

Won't this take weeks to set up?

No. Your account ships with all six SiftLine boards, task presets, sequences, and filter presets already wired. Learn the manual flow first — run deals step by step before leaning on automations. Once you understand each phase, the automations become something you earn. Most operators are running a live dispositions pipeline the same week they get in.

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Free Lists

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SiftMap Pro Lists

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  • Pre-Foreclosures - Court Order
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When you create a new DataSift account (or enable the default build if you're an existing user), you'll have:

How does DataSift work for Commercial Real Estate & Land?

Yes! You can manage any prospect with an address in DataSift. No street address for vacant land? No worries. Upload using the APN/Parcel ID as street address. Then it’s a matter of skiptracing and running a marketing campaign in Sift.