Multiple six figures on 50,000 free county records
Consistency comes from organized data. Fifty thousand well-cut free county records on a four-month calling cycle beat any new blanket list.
About
Joaquin Rosario started wholesaling in 2017 with his business partner. He was working at AT&T in New York; his partner was boots on the ground in Tampa. He moved his family down in 2019, and growth took off once the two split duties. Today he runs acquisitions and marketing in Pasco County, his partner runs dispositions, with a lean 4-5 person team behind them.
Operating market
Pasco County, FL
Favorite features
The Challenge
Joaquin and his business partner started in 2017 with one flip and made all the mistakes they could possibly make, his words. He was still working at AT&T in New York. His partner was the boots on the ground in Tampa. So they went direct to seller, just the two of them on the phones, from 2017 until he relocated in 2019.
The data side dragged. Whenever the pipeline ran dry, the answer was another blanket ListSource pull, and the results were not there. Joaquin had also caught what the ListSource filters hide. A property bought in 2010 and quitclaimed into an LLC later reads as a recent sale, so owners with real equity drop out of the pull. And every county download meant his VA rebuilding the data by hand in Excel. They believed in county records. They had no system that made the data clean, trackable, and callable on a schedule.
What They Built
Pulling the county direct instead of buying records
The county hands over owner, mailing address, and assessed value files free. Joaquin aggregates the five spreadsheets by parcel ID, then filters out commercial, agriculture, and land.
In Pasco County you have about one hundred and sixty-eight thousand potential leads.
After the filters he keeps about 50,000 records and pays nothing per record for any of them.
Four core lists cut by years owned and equity
The base splits into 15-year-plus owners, 2006 to 2016 purchases, and the 2009 to 2013 buyers broken out on their own. Anyone who bought in that window bought near the bottom, so the equity is assumable. Multi-family is the fourth list. Newer builds after 2010 and the higher-end assessed values stay out, because that is not where his buyers are.
A calling cycle sized to the data
Every record gets called every four months, and the math stays honest about headcount.
If you divide those records by four you'll have 12,500 records that you're gonna be calling in those four months. What I then do is divide it by two callers and then divided by four weeks, so approximately 1,500 records of my broad data is gonna be uploaded per week to each caller.
Those weekly batches load into Mojo Dialer. Adding a third caller without adding data would only thin out the two he has, so data comes first, then hires.
Niche lists on a quarterly recall rhythm
Code violation arrives monthly, driving for dollars weekly, plus tax delinquent and vacancy. His VA loads each batch into DataSift, where the scrubbed base data does most of the cleanup.
The beauty of the software is that a lot of the data cleans on itself.
Each batch gets called the quarter it lands, then again two quarters later, until he verifies the owner sold. Before export every list splits four ways: absentee, owner occupied, and vacant versions of both. Absentee vacant gets the first call. Cold calling and texting are the only two channels running against it.
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
- 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
What changed
The click has a place: Gonzalo and Dom's event, around August 2019, a few months after Joaquin moved his family down from New York. Tyler presented DataSift, and the two kept talking in the hallway afterward about pulling data straight from county records. "I was like, wow, this is exactly what I'm looking for." Back at the office he put a question to the VA rebuilding every county file by hand: want to go back to Excel? The answer was no way. The county data stayed, the spreadsheet grind ended, and the four-month cycle took its place.
The Results
The callers work 35 to 40 hours a week against a floor of 10 leads each at a 3% contact rate. They beat it: 16 to 18 leads per caller per week, roughly 32 to 36 into the pipeline across the pair. Contracts come at 25 to 35 leads apiece. Tyler Austin puts the typical average at 50 to 60, so the niched data converts at about twice the usual rate.
Follow-up compounds it. A seller Joaquin first cold called in 2018 finally closed two years later. Her house had burnt down and been condemned, and she was facing $35,000 to knock it down. He bought it for about $5,000 and assigned it for $15,000. That is a $10,000 spread on zero new marketing dollars, funded the day before this video was recorded. Multiply that discipline across 50,000 free records and you get the operation Tyler says is close to crossing the seven-figure mark.
There was no competition on it because I was the only one following up and I knew the situation.
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What our users have to say
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Answers to some
commonly asked questions
Does DataSift work with my dialer?
Yes. Ready Mode, Smart Dialer, Call Tools, Smarter Contact, Aircall and Kixie connect directly. A wrong-number disposition in the dialer flips the phone status in DataSift in real time. A new-lead disposition fires the full Call New Lead sequence. Other dialers connect through CSV upload or Zapier.
I'm coming from Podio, REsimpli, or Go High Level. Why switch?
Every CRM needs someone to move leads where they belong. The difference is what catches the misses. Most CRMs hand you an empty box and tell you to build it. DataSift ships with the workflow assembled — boards, statuses, tasks, and 26+ automations already wired. You're not paying for a database. You're paying for the system that already runs your lead management.
I have too many leads. Don't I need drip campaigns for my warm and hot leads?
Drip campaigns are for ghosting leads and not-interested follow-up. Never for warm or hot. Warm and hot get a human call, every time, on a tempo set by when the seller will sign.
Won't I need to hire an acquisitions person to keep up?
Most operators give away 20% of their revenue solving an operational problem with a hire. A trained lead manager working the default build prevents that hire for a long time. Bring in an acquisitions specialist when your lead manager is buried in qualified follow-up that's converting — not before.
Will my team actually use this?
Your lead manager works six filters every day:
- Call New Leads
- Unqualified Overdue
- Unqualified Due Today
- Qualified Overdue
- Qualified Due Today
- Leads Missing Task
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?
Yes — and the two work better together. Your dialer or SMS tool handles the conversation. DataSift handles the data that survives the conversation. If your dialer ever gets flagged or shut down, every wrong number, correct number, and Not Interested response stays safe in DataSift.
Do I have to run Sequential Marketing?
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.
Is there a free trial?
Yes DataSift offers a 7 day free trial. In those 7 days you’ll receive all necessary materials to learn exactly how to leverage Sift in your company.
What does DataSift do?
DataSift helps real estate companies locate the best markets, execute targeted marketing, and identify the right sellers, buyers and buy boxes. Sift gives your team one place to manage leads, follow-ups, tasks, appointments, and KPIs to keep your operation tight.
How much does DataSift cost?
Our lowest plan starts at $149 a month and our highest plan is $1250 a month.
Will I have access to the support team?
Yes, all users have access to our support team through our support chat. We offer live calls, community calls, help center tutorials and a large investor community for widespread support.
Will new data automatically add to my Sift account?
Yes. Expert plan, AI plan and users with the SiftMap Pro add-on can opt to have records auto-added to their account based on their preferred criteria.
How do I migrate over my data from another CRM?
Contact our support team through our support chat and they will give you all necessary materials and information to make sure you get all of your data uploaded exactly how you want it.
How does the unlimited skiptracing work?
DataSift provides pay per skip pricing as well as a fixed $97 a month unlimited skiptracing add on. Unlimited skiptracing comes with the Expert and AI Plans automatically
What lists can I pull inside DataSift?
Free Lists
- Free and Clear
- High Equtiy
- Low Equity
- Negative Equity
- Owner Occupied
- Absentee
- Pre-Foreclosure
- Foreclosure
SiftMap Pro Lists
- Pre-Foreclosures - Notice of Default
- Pre-Foreclosures - Lis Pendens
- Pre-Foreclosures - Notice of Foreclosure
- Pre-Foreclosures - Final Judgement
- Pre-Foreclosures - Court Order
- State Tax Lien
- Federal Lien
- Liens (Mechanic's, Utility)
- Judgment Liens
- HOA Liens
- Bad Credit
- Estate Sales
- Probate Properties
- Criminal Felony
- Senior Homeowners
- Divorce Properties
- Eviction
- Vacant Properties
- Pre-Probate
- Low Income
- Bankruptcy Properties
- Inheritance Properties
- Tax Delinquent Properties
- Short Term Loan
What is DataSifts default account?
When you create a new DataSift account (or enable the default build if you're an existing user), you'll have:
- Pre-built SiftLine Boards
- Default Lists, Tags, and Phone Tags for easy organization
- Pre-set Property Statuses and Contact Statuses
- Task Presets for Lead Management, Acquisitions, and Transactions.
- Saved Filter Presets to quickly filter for tasks.
- Ready-to-go Sequences (Automations) for smooth daily workflows
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.
