A simple cold calling system that will make $40K a month wholesaling in 2026

Business Goal & Positioning (2026)

• Build a solo (1-person) cold-calling system for real estate wholesaling targeting $40,000/month in 2026.
• Core idea: stop “data dumping” (random lists + mass calling) and instead run a repeatable lead system using:
  • Niche government / AI-generated lists
  • Skip tracing
  • Dialing with number-registration to improve answer rates

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The 5-Step Cold-Calling “System” (Playbook)

1) Harvest Niche Data Lists

• Prioritize list sources wholesalers often don’t use:
  • Government-derived records
  • “Ugly house” style signals (high motivation indicators)
• Examples of list types mentioned:
  • Probates
  • Pre-foreclosure (via Clerk of Court)
  • Code violations
  • Tax delinquent
  • Liens
  • Fire damage properties
  • Water shut-offs
  • “Driving for dollars” variants
  • AI lists / sellability score
  • AI drawing-for-dollars (visual “ugliness” scoring)

Tools

• xleads.com (recommended “only software” in the process)
• Two AI list modes on xleads:
  • Sellability list: AI scores likelihood of selling for a discount (0–1000) using massive datasets by zip code.
  • SkyDrive: AI “drawing for dollars” that scans properties visually/satellite imagery, scoring “ugliness” (0–100) to surface low-hanging fruit.

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2) Skip Trace the List

• Use xleads (including trial):
  • Mentioned: free trial provides 1,000 free skip traces
  • Paid estimate: ~$97/month for 25,000 records (including skips)
• Operational detail: xleads can import messy government outputs, including:
  • Street address only (plus optional city/county)
  • Useful when zip/state are missing (common in probate/code-violation style lists)

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3) Systematize Dialing (Dialer + Phone Numbers Rotation)

Dialer guidance

• Mojo (triple-line dialer) is referenced as an option
• xleads suggests starting with a single-line auto dialer

Phone number capacity rule

• Rotate numbers: for every 100 calls, rotate ~1 number
• For ~3,000 calls, plan ~30 phone numbers minimum

Cost logic (rough)

• Buying phone numbers: ~$1.50 per number
  • ~$45 for 30 numbers
• Estimated monthly total (software + dialer + numbers): ~$130–$175/month

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4) “Attack” the Lists (Calling KPIs)

Target workload

• Call volume: ~3,000 calls
• Dial time rate: ~40 calls/hour
• Dial time: ~75 hours
• Timeline: ~4 weeks for that dialing volume

Expected deal funnel (for niche lists)

• 1–2 deals per 3,000 calls
• ~10–15 good leads
• ~3–4 offers

Email/voicemail tactic

• If available, drop voicemails (example phrasing included in the original content) to increase responsiveness.

Call-quality emphasis

• Avoid mass calling huge datasets.
• Recommendation: max 2,000–3,000 targets, not tens of thousands.

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5) Optional Scale via Texting

• Texting via xleads:
  • ~1 penny per text
  • For ~$30, text the same list
• Expected incremental results:
  • Extra deal every other month
  • +5 more leads
  • Rough revenue lift stated: + $8k–$12k/month
  • Example basis: every other month at least one ~$25,000 deal

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Core KPI Targets & Economics (Explicit/Implicit)

• Monthly outcome target: $40,000/month
• Lead/calling inputs:
  • Working list size: 2,000–3,000 max
  • Primary cycle: ~3,000 calls
• Expected outputs per cycle:
  • 1–2 deals
  • 10–15 good leads
  • 3–4 offers
• Time budgeting:
  • ~75 hours dial time across ~4 weeks
  • Implied: ~19 hours/week calling

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Data Strategy vs. “Data Dumping” (Process Principle)

• The speaker frames common wholesaler failure as:
  • Random lists
  • Random cold calling
  • No coherent business system
• Alternative approach:
  • Niche government/AI lists
  • Controlled list size
  • Skip trace
  • Dialing system
• “Why it works” emphasis:
  • Niche motivation signals (probates, driving-for-dollars signals, delinquencies, fire damage, etc.)
  • Higher seller motivation → better deal outcomes

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Operational Growth Levers & Constraints

Answer rate / contact rate improvements come from:

• Registering phone numbers to reduce spam likelihood
• Increasing pick-up rates:
  • Speaker contrast: ~10% contact vs ~20% contact with the right setup
• Using voicemail when possible

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Phone-Number Deliverability Framework (Explicit Step)

To reduce spam labeling and increase pick-up rates:

Register numbers with providers/services

• Google Voice route: use a “free caller registry” website
• Mentioned registrations:
  • Free Caller Registry
  • Register with First Orion (free)
  • Register with Hiya (free)
  • Register with TNS (free)

xleads settings to support trust / caller ID

• xleads → Settings → Trust Center
• Register CNAME voice/outbound caller ID for better pick-up rates
• Use Voice Integrity to avoid spam tags and raise answer rates

Caution: bad numbers can increase spam likelihood and “kill” performance.

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Actionable Recommendations (What to Implement First)

Start with:

• xleads Basic
• Single-line dialer
• Buy at least ~30 phone numbers (for ~3,000-call cycles)
• Run these list types:
  • Niche government
  • AI sellability
  • AI SkyDrive / drawing-for-dollars
• Cap targets at 2,000–3,000 properties per list cycle

Suggested process flow:

• Pull lists → import (street-address-only if needed) → skip trace → dial → optionally voicemail → optionally text for scale

Performance planning baseline:

• Use ~3,000 calls per cycle
• Aim for 1–2 deals as baseline expectation

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Revenue Framing (Why $40K vs Lower “Averages”)

The system hits $40K/month because it emphasizes:

• More niche data, especially:
  • Probates
  • Driving-for-dollars style leads
• Deal size depends on:
  • Seller motivation
  • Whether offers are structured around the discount/motivation dynamics (speaker notes it’s not “lowballing,” but ties pricing strategy to motivation)

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Presenters / Sources Mentioned

• Presenter: Zach (named in the voicemail script; video host/speaker)

Software / services:

• xleads.com
• Free Caller Registry (website)
• TruePeopleSearch.com (mentioned as an earlier skip-trace approach)
• Mojo dialer
• Google Voice
• First Orion
• Hiya
• TNS