Summary of "How to Get Your First Wholesale Deal in 14 Days (Step-by-Step)"

Concise overview

Goal: land your first wholesale real estate deal in ≤14 days using the “Bull Method” (Zach). Time commitment: ~2 hours/day (1 hour pulling lists, 1 hour marketing/outreach). Mindset: “Charging bull” — single-minded focus on one playbook; use a commitment device (e.g., pretend you paid $5,000) to force execution and avoid distractions.

Core promise / constraints

Target timeline: first deal within 14 days.
Daily commitment: ~2 hours/day for focused execution.
Work style: short, intense sprints focused on one repeatable playbook.

The Bull Method — three-framework system

Framework 1 — Daily list pulling (1 hr/day)
- Two list sources:
  - Government lists (free public records).
  - AI-driven lists from wholesaling software (e.g., XLeads).
- Create a monthly master list of all records.
Framework 2 — SUPER HOT “stacked” lists (stacking duplicates)
- Stack all 10 government lists into one master sheet.
- Identify addresses that appear in multiple lists — duplicates = higher likelihood of motivation/distress.
- Use Excel/Google Sheets and AI (ChatGPT) to dedupe and extract the “super hot” subset.
Framework 3 — Triple Tap (marketing / outreach)
- Outreach sequence:
  1. Call.
  2. Text non-responders.
  3. Sticky note (reverse-drive) / email / Facebook message (or other physical/virtual follow-up).
- Prioritize outreach to stacked “super hot” addresses first; then AI list; then general government lists.

14-day operational playbook (step-by-step)

Day 0

Days 1–3

Pull all 10 government lists plus AI list(s).
Combine into a monthly master list.

Days 4–6

Use ChatGPT / Excel to identify duplicated addresses across lists → create SUPER HOT (stacked) list.
Skip-trace the master list (use XLeads trial to save time).

Days 7–14

Execute Triple Tap outreach every day:
- Call everyone on the prioritized lists.
- Text all non-answers (Google Voice or XLeads texting).
- Reverse-drive and place sticky notes on TOP stacked leads.
- Email or Facebook message remaining non-responders.
Continuously prioritize the stacked “super hot” list over the general lists.
Maintain discipline: 2 hours/day of focused work for the 14-day sprint.

Where to get the data (government lists & AI)

Government lists / sources (pull online or in-person at county/city offices):

Pre-foreclosure / lis pendens — county clerk/court
Evictions — county clerk
Probates — county clerk/court
Tax delinquent — county tax collector
Liens — clerk of the court
Code violations — city/county code enforcement
Water shut-off — utility company (phone/email)
Arrest records — sheriff / city / county police
Fire-damaged properties — fire department
Divorce list — county clerk/court

AI lists:

Use wholesaling software (e.g., XLeads).
Recommended threshold: score ≥ 750 (0–1000) for higher-likelihood leads.
Suggested pull: 200–300 AI leads per month for a high-signal sample.

Skip tracing:

Use XLeads trial (~1,000 free skip traces over 14 days) to avoid 10–30 hours of manual skip tracing.

Tools / tech stack

Data: county/city public records, utility contacts, police/fire departments.
Wholesaling software: XLeads (AI lists + skip tracing; 14-day trial).
Tables / dedupe: Excel or Google Sheets.
AI assistant: ChatGPT (merge lists, dedupe, generate stacked list).
Outreach: Google Voice or XLeads texting, phone calling, Facebook messaging, email.
Physical follow-up: reverse drive and place sticky notes on doors for super hot leads.

Key metrics, benchmarks & estimates

Timeline target: first deal ≤14 days.
Presenter credibility: claims >4,000 wholesale deals over ~10 years.
Outreach/contact assumptions (example):
- Calling 2,000 contacts → estimated 20% answer rate (~400 answers, 1,600 no-answers).
- Use texting for the 80% non-answers.
List-to-deal approximations:
- Generic vacant-property lists: may require ~8,000 contacts per deal (low signal).
- AI-scored lists: much smaller sets (~1,000) are likelier to deliver deals.
AI score guidance: target XLeads score 750+.

Tactical tips & rationale

Stack multiple public data sources to create a higher-probability “super hot” subset — duplicates indicate higher distress/motivation.
Sequence outreach to increase contact rate and conversions: call → text → physical/virtual sticky note/follow-up.
Prioritize stacked duplicates to maximize limited daily time and increase signal-to-noise.
Use AI and automation (ChatGPT, wholesaling software) to compress manual work (skip-tracing, deduplication).
Limit scope and distractions: run short, intense sprints rather than spreading effort across many channels.
Use commitment psychology (pretend you paid $5,000) to boost follow-through.

Risks & caveats

AI lists increase probability but are not guaranteed leads.
Some government records may require in-person requests depending on county.
Manual skip-tracing thousands of properties is time consuming (10–30 hours); the trial software is recommended to speed this stage.
Local laws and privacy/solicitation rules vary — check compliance for calling, texting, and door-knocking.

Examples / illustrative numbers

10 government lists to pull (listed above).
AI filter example: XLeads score 750+; pull 200–300 AI leads per month.
Contact model example: calling 2,000 leads → ~20% answer rate.

Presenters & resources

Presenter: Zach (Zack / video host) — claims ~4,000 wholesale deals.
Mentioned contributors/resources: Rick (live-stream training), FreeWholesaling.com (community/course).
Tools/software referenced: XLeads, ChatGPT, Google Sheets/Excel, Google Voice.

Summary takeaway: Run a focused 14-day sprint — daily list-pulling, stack duplicate public records for a “super hot” subset, use AI-assisted lists and skip-tracing to save hours, and apply a disciplined Triple Tap outreach sequence prioritized on stacked leads to maximize the chance of your first wholesale deal.