Marketing speed other wholesalers can't match
Built a $100K+ business using free courthouse data while maintaining a W-2 job.
About
Kasim, a real estate investor, began his journey by purchasing a wholesale course while working a full-time job.
Operating market
Kasim works mainly in real estate, with a focus on Delaware and neighboring states: Maryland, Virginia, and Pennsylvania.
Favorite features
The Challenge
Kasim Adeleke came into real estate the usual way: college, a full time job, then a wholesaling course. A mentor from his Brazilian Jiu-Jitsu gym, known there as the real estate guy, widened the lens past wholesaling into creative finance and flips. He started with bandit signs and direct mail. Then he leaned on his drop shipping background and ran the business on Facebook ads for years.
During COVID, Facebook shut down his ad account and the inbound engine died overnight. He wanted marketing he could control, hunting instead of waiting. His old school mentor's advice was just get a list, mail it, repeat. Kasim kept asking the question that advice could not answer: how do you know when a record already said not interested, or told you to stop mailing? A fellow DataSift user in Delaware showed him how to pull county records and filter data, and that became the model. He still works the W-2 today, by choice.
What They Built
Free courthouse records as the deal engine
Kasim markets to foreclosures and probates he pulls straight from the county courthouse, in person or through the county sites. The records cost nothing. Delaware is home base, with Maryland, Pennsylvania, and New Jersey counties layered on. Facebook and PPC still run, but county data drives the business.
Now that's really the engine of my business at the end of the day and how I am seeing the success that I'm seeing here today.
A three day sequence on every new record
New records go into a Google Sheet, get skip traced, then upload into DataSift with a direct mail first to market status. From there the team calls and texts each owner on day one, day two, and day three. Every disposition gets tracked: correct number, not interested, new lead, hot, offer, under contract.
Recycling the records nobody else could reach
Records that survive three days unreached move to an exhausted bucket for a second skip trace and a fresh round of attempts. Still nothing, and the team researches relative phone numbers in a round two bucket. Not interested prospects get a follow up every 90 days, once a quarter. The last stop is direct mail only, for a set number of touches. One September record proves the loop: weeks of calls went nowhere, then one letter got the seller to call back.
A board for every lead source
Siftline boards separate direct mail, website, Facebook, and cold calling leads, with Zapier feeding inbound forms straight onto the boards. Separate boards run acquisitions, novations and wholesale deals, short sales, and return mail.
I want to be able to visually see it. Like I'm just a visual person.
Before and After
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
- 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
Kasim's journey in real estate began conventionally, but it was during the Covid-19 crisis when his Facebook ad account was shut down that he realized the need for a proactive approach. A mentor already leveraging DataSift introduced him to a new perspective—a true 'a-ha' moment—shifting from a waiting game to actively hunting opportunities.
Clarity emerged as another significant 'a-ha' for Kasim. DataSift's ability to visualize and track every prospect's lifecycle provided a detailed understanding, allowing him to minimize gaps in marketing strategies and business processes.
Highlighting Kasim's success was his personalized approach in direct marketing. His 'a-ha' came when a tailored mail led to a positive conversation with a potential client, validating his strategy. Kasim emphasizes that dedication is the key to making everything work.
"DataSift brought a new level of precision to my real estate endeavors. Its tools and organization streamlined my hunt for opportunities, turning data into lucrative conversations. The system's clarity is the key that unlocked my success."
The Results
The operation has produced $100K+ in revenue while Kasim keeps his full time W-2 job. Overhead runs $2,000 to $3,000 a month for a two person team: Kasim plus one VA on data and follow up. The list data itself costs $0 because the courthouse gives it away.
Before, his deal flow depended on an ad account Facebook could switch off, and did. Now the inputs are records he pulls himself and a three day sequence his team runs on every one. On a call right before this interview, a seller he had mailed since early September thanked him for the personalized letter.
It's just a testament that everything works, man. You just got to stay committed to it.
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