DataSift

Data Strategy

Data Priority Pyramid

Everyone Has the Same Leads. That Is the Problem.

The real question is not "where do I get data?" The real question is "who else is calling this list?" The Data Priority Pyramid gives you the answer and the fix.

12 min read
The Framework

The Harder Your Data Is to Get, the More Money You Make

Most investors start at the top of the pyramid instead of the bottom. They jump straight to AI-scored lists before building the courthouse foundation. The result? High spend without a system underneath to convert at scale.

The Data Priority Pyramid is the fix. It ranks every data source by three things: cost to acquire, competition level, and speed to contact. But it is more than a ranking — it is a sequenced revenue engine. Start at Tier 1 with free county data to generate your first revenue. Reinvest that revenue into the Expert plan ($499/mo) to unlock Tier 2 Stacked Niche data. Roll Tier 2 revenue into Tier 3 AI data to scale appropriately. Each tier funds the next. Never skip tiers.

AI data is not the problem. Skipping the foundation is. When you layer AI scoring on top of a strong FTM and niche system, it amplifies your results. Without that foundation, you are paying premium prices for the same leads everyone else is calling.

Ty's Tip

I watched an operator spend $4,200 a month on AI lists and close one deal every 90 days. Cost per contract: $12,600. A student in the same market pulled free probate records, skip traced for $0.12 each, and closed in two weeks. Cost per contract: $1,000-2,000. The difference was not data quality. It was the sequence. The student had the foundation built first.

The Three Tiers

Click each tier to explore the data sources, costs, and strategies. Start at the bottom. That is the whole point.

AI DATA $1,250+/mo STACKED NICHE $500/mo FIRST TO MARKET Free - $25
Tier 1: Foundation

First-to-Market Data

Free or nearly free data pulled directly from public records before anyone else touches it. This is your highest-converting, lowest-cost tier. The courthouse does not charge you for records that will make you $30,000.

Free-$25Monthly Cost
1-3Competing Investors
$1,000-2,000Cost/Contract

Data Sources

  • County courthouse records (probate, foreclosure, liens, code violations)
  • Tax delinquency lists from the county treasurer
  • Building permit records
  • Eviction filings from the court clerk
  • Absentee owner lists from the assessor

Freshness: 0-7 days from filing. Competition: 1-3 other investors on the same record.

Tier 2: Multiplier

Stacked Niche Data

Take your Tier 1 revenue and reinvest into the Expert plan ($499/mo) to unlock stacking filters. Layer two or three distress indicators on one property. A probate filing alone is good. A probate filing on a property with code violations and tax delinquency? That is a deal waiting to happen. This tier is where you take first-to-market revenue and multiply it.

$500Monthly Cost
2-3xStacking Multiplier
$3,000-5,000Cost/Contract

Stacking Examples

  • Probate + code violation + out-of-state owner
  • Tax delinquent + vacant property + high equity
  • Pre-foreclosure + divorce filing + long ownership
  • Inherited property + failed listing + 10+ years ownership

Phil Loesch builds 50-150 hyper-niche lists of 20-50 records each. His first deal from this approach closed in two weeks.

Tier 3: Premium

AI and Predictive Data

Machine learning models that score every property in a market based on likelihood to sell. The technology is powerful. The key is sequencing: when you layer AI on top of Tiers 1 and 2, it amplifies your edge. Without that foundation, you are competing against every other investor using the same scores.

$1,250+Monthly Cost
50+Competing Investors
$4,000-8,000Cost/Contract

AI Data Reality

  • Providers: First American, LexisNexis, Formium
  • Backend compute cost: $90,000/month for the provider
  • Plan pricing starts at $1,250/month for investors
  • Best use: supplement Tier 1 and 2, never replace them

AI data amplifies a strong foundation. Build Tiers 1 and 2 first, then layer AI on top to multiply your results.

PUT THE PYRAMID INTO PRACTICE

Your data stack starts with Tier 1

You just mapped the three data tiers. DataSift lets you upload free courthouse records, skip trace them for $0.15 each, and market from the same system. Start with the data you already have.

Decision Framework

The Targeting Matrix

Two variables determine whether your data makes money: freshness and competition. Most investors confuse these. This matrix separates them.

The Targeting Matrix DATA FRESHNESS Fresh Stale COMPETITION LEVEL Low High FIRST MOVER Fresh data + low competition County pulls, new filings, permit records Competition: 1-3 investors | Cost: $1,000-2,000/contract This is where the money is. HIDDEN GEM Fresh data + high competition Stack niches to separate from the crowd Needs speed + deep niche stacking Winnable with the right stack. CROWDED RACE Stale data + low competition Old lists nobody wants for a reason High marketing cost per contact Low ROI. Skip unless stacking. DEAD MONEY Stale data + high competition Recycled lists from data brokers Competition: 20-50+ investors | Cost: $10,000+/contract Most investors live here.

First Mover: Your highest-ROI zone

Fresh courthouse data with almost no competition. Pull records within 48 hours of filing, contact the same day. This is where Blueprint A operators start and Blueprint D operators never stop.

Action: Set up weekly courthouse pulls for probate, foreclosure, and tax delinquency. Skip trace immediately. Contact within 24 hours.

Hidden Gem: Winnable with stacking

The data is fresh but other investors found it too. Your edge: stack 2-3 distress indicators to separate motivated sellers from the crowd. Speed to contact is your tiebreaker.

Action: Layer filters (probate + code violation + out-of-state). Use sequential marketing starting with cheapest channel. Best for Blueprint B and C operators.

Crowded Race: Low ROI territory

Old data that nobody else wants either. Low competition does not help when the seller already talked to five investors last month. Only worth pursuing if you can stack enough filters to find hidden motivation.

Action: Skip unless you can add a fresh trigger (new code violation on an old tax delinquent property). Otherwise, spend your time on fresher data.

Dead Money: Where most investors are stuck

Recycled lists from data brokers. Stale records. 20-50 other investors calling the same people. This is a $10,000+ cost per contract zone. If this is your primary data source, the pyramid is your escape route.

Action: Stop buying pre-built lists. Start pulling from the courthouse. Move to the First Mover quadrant.

Click a quadrant above to see your action plan. Most investors are in Dead Money and think they are in First Mover.

Proof

The Pyramid in Action: Kasim Delake's Tier 1 System

A W-2 employee in Delaware built a six-figure wholesaling operation starting at the bottom of the pyramid. Free courthouse records, skip tracing, and DataSift's sequential marketing. Tier 1, executed well.

The Setup

Kasim's ad account got shut down during COVID. A mentor who was already a DataSift user showed him the courthouse method. Market: Delaware plus satellites in MD, VA, PA, and NJ. Primary data: foreclosure and probate filings from the county courthouse. Cost: zero. Blueprint B, Phase 4.

The System

Every week, Kasim pulls fresh records from the courthouse (online or in person). Here is his exact flow:

County Records Google Sheet Upload to DataSift Skip Trace Niche Sequential (3-day call/text/mail)

Day 1-3: Call, text, and mail every new record. Cannot reach them? Second skip trace with new numbers. Still nothing? Try relative phone numbers. Last resort: direct mail only for ongoing touches.

The Result

"All of the county data and marketing that way is the life."

$100K+ wholesaling business built on Tier 1 data. Kasim now runs Facebook ads and PPC alongside his courthouse data, but the Tier 1 foundation through DataSift remains the engine.

Kasim Delake case study interview
Kasim Delake: $100K+ From Free County Data
Ty's Tip

Kasim proves that Tier 1 alone can build a real business. Once this system is producing consistently, Tier 2 stacking and Tier 3 AI become force multipliers. The pyramid is a sequence, not a ceiling.

Blueprint Alignment

Which Tier Fits Your Blueprint?

Your budget, your team size, and your phase determine where you start on the pyramid. Not every operator needs all three tiers.

Blueprint A: The Launchpad

Pyramid Tier: 1 only (First-to-Market)

No budget. No team. Just you and the courthouse. Pull free records, skip trace for pennies, and dial. This is how you get your first deal without spending money you do not have.

Budget: $0-50/month (skip tracing only)

First hire: Data Manager at $500-700/month once you close your first deal.

Rule: Do not buy any paid data until Tier 1 is producing consistent contracts.

Blueprint B: The Optimizer

Pyramid Tiers: 1 + 2 (FTM + Stacked Niche)

You have capital but limited time. You are still working a W-2 or running another business. Automate Tier 1 with a data manager, then layer Tier 2 stacking to increase conversion without increasing volume.

Budget: $500-2,000/month

Team: Data Manager + 1-2 callers

Rule: Stacking filters are your edge. You compete on precision, not volume.

Blueprint C: The Specialist

Pyramid Tiers: 1 + 2 (Heavy niche focus)

You own a niche: probate, tax liens, land, or creative finance. Your edge is depth, not breadth. Build 50-150 micro-lists of 20-50 records each. Know every property on every list by name.

Budget: $200-1,000/month

Team: Data Manager (niche-trained)

Rule: Never go wide. Your margin comes from knowing more about fewer properties than anyone else.

Blueprint D: The Scale-Up

Pyramid Tiers: 1 + 2 + 3 (All three)

You are doing deals but not consistently. You need all three tiers feeding a full team. Tier 1 is still your foundation. Tier 2 is your multiplier. Tier 3 (AI) is supplemental, never primary.

Budget: $3,000-10,000+/month

Team: Full stack: Data Manager, Callers, Lead Manager, Closer, Sales Manager

Rule: AI data supplements FTM and stacked niche. If you remove Tiers 1 and 2 and your business breaks, your foundation is wrong.

Self-Assessment

Data Source Audit

Most investors think their data strategy is better than it is. Rate yourself honestly on these five dimensions. The score tells you where to focus.

1 = Buying recycled lists. 5 = Pulling records within 48 hours of filing.

1 = Same lists as 50 other investors. 5 = Only you and maybe one other person.

1 = Single-filter lists only. 5 = Every list has 2-3 distress indicators layered.

1 = Weeks between data pull and first contact. 5 = Same-day contact on every new record.

1 = Spending $10,000+ per contract. 5 = Under $1,000 per contract.

Freshness Competition Stacking Speed Cost Eff.
15 out of 25
Getting There

You have a foundation but gaps remain. Focus on improving your lowest-scoring dimension first.

The Flip

What Most People Do vs. What Works

The difference between a $10,000 contract cost and a $1,000 contract cost is not talent. It is data strategy.

Data Exclusivity
Shared with 20-50+ investors
Cost Per Contract
$4,000 - $8,000
Competition Level
20-50 investors
Data Freshness
30-90 days old
Speed to Contact
1-2 weeks
Key Terms

Vocabulary

Click any card to reveal the definition. These terms show up in every conversation about data strategy.

First-to-Market Data

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First-to-Market Data

Data you pull directly from public sources (courthouse, assessor, clerk) before it hits any aggregator or list broker. Value comes from being first, not from the data itself.

Stacked Niche

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Stacked Niche

Combining two or more distress indicators on a single property. Probate + code violation + out-of-state owner = three signals that the seller needs to move.

Skip Tracing

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Skip Tracing

Finding phone numbers and contact information for property owners from public and proprietary databases. Costs $0.04-0.15 per record depending on provider and volume.

Cost Per Contract

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Cost Per Contract

Total marketing spend divided by number of signed contracts. The single most important metric for evaluating data source ROI. FTM targets: $1,000-2,000. AI data without foundation: $4,000-8,000.

Data Freshness

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Data Freshness

How recently the data was generated at its source. A probate filing from yesterday is fresh. A "motivated seller" list from a broker compiled 60 days ago is stale. Freshness directly correlates with lower competition and higher conversion.

Niche Sequential Marketing

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Niche Sequential Marketing

A 3-day sequential marketing cadence: call, text, and mail every new record on days 1-3. If no contact, escalate to second skip trace, then relative numbers, then direct mail only.

AI Scoring

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AI Scoring

Machine learning models that predict which homeowners are most likely to sell. Providers like First American and Formium spend $90K/month on compute. Plans start at $1,250/month for investors. High cost, high competition.

Hyper-Niche List

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Hyper-Niche List

A list of 20-50 properties with multiple stacked filters. Phil Loesch builds 50-150 of these and works each one deeply. Small lists, high intent, low competition. His first deal closed in two weeks.

Knowledge Check

Test Your Understanding

Seven questions. No time limit. Each answer includes an explanation you can reference later.

1. What is the core principle of the Data Priority Pyramid?

  • AI-scored data converts best because it is most sophisticated
  • The harder your first-to-market data is to acquire, the more money you make
  • Expensive data is always better than free data
  • All data sources convert at the same rate

2. Why does Tier 1 (FTM) data have the highest conversion rate?

  • Because the data is more accurate than AI data
  • Because fewer investors are competing on the same records
  • Because the courthouse guarantees every seller will sell
  • Because Tier 1 data costs the most to acquire

3. What is "stacking" in the context of Tier 2?

  • Buying data from multiple brokers at once
  • Combining two or more distress indicators on a single property
  • Sending multiple marketing channels simultaneously
  • Hiring multiple data managers for coverage

4. What is the approximate cost per contract for AI-scored data (Tier 3)?

  • $1,000-2,000
  • $500-1,000
  • $4,000-8,000
  • $1,250 flat

5. In the Targeting Matrix, where do most investors unknowingly operate?

  • First Mover (fresh + low competition)
  • Hidden Gem (fresh + high competition)
  • Crowded Race (stale + low competition)
  • Dead Money (stale + high competition)

6. What makes Tier 2 (Stacked Niche) data more effective than a single-indicator list?

  • It costs more, so it must be better data
  • Combining two or more distress indicators on a single property increases motivation likelihood
  • It uses AI to score properties automatically
  • Stacking means buying from multiple data brokers at once

7. Which blueprint should use all three tiers of the pyramid?

  • Blueprint A: Launchpad
  • Blueprint B: Optimizer
  • Blueprint C: Specialist
  • Blueprint D: Scale-Up

Score: 0 / 7

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