New Method to Find Unlimited USA Clients | Out of Marketplace Client | Client Hunting

Business-focused summary (client acquisition: out-of-market “unlimited USA clients”)

Core strategy: move from marketplaces to direct outreach

The video positions direct client hunting (email outreach) as a way to find USA clients without relying on platforms/marketplaces.

Stated goal:

• Hunt ~10–15 clients per month
• With outbound volume, close at least ~5 clients in a month

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Step-by-step playbook / process

1) Build a target list using a “formula” (lead sourcing)

A search/query string is used that combines:

• Platform domain (e.g., Instagram; with variants to use other sources like LinkedIn/Amazon)
• Niche filter (e.g., “doctor”, “dentist”, “real estate agents”)
• Geography filter (e.g., “USA”, “Germany”, etc.)
• Email domain (e.g., gmail.com, outlook.com)

Example inputs described:

• Niche: “doctor” → results show “doctor’s” profiles
• Location: “USA”
• Email providers: switch between Gmail and Outlook to change the results set

Outcome: you generate a list of leads (name/category/founder/inferred info) with associated emails or email-like entries.

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2) Extract lead data manually (light automation)

The process is:

1. Collect the results
2. Copy emails and key fields from the dataset one-by-one

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3) Use ChatGPT to convert raw lead data into structured tables

Instruction:

• Paste the copied lead data into ChatGPT and ask it to make a table (e.g., Name, category, etc.).

Benefit claimed:

• ChatGPT organizes fields and normalizes missing data (e.g., “Not Specified/Not Provided”).

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4) Generate personalized cold emails at scale

Workflow:

1. Paste the structured lead table into ChatGPT
2. Command: “write cold email”
3. Requirement: use each person’s name
4. Customize the offer
   • Video example: a new website offer (“I am a web developer… offer a new beautiful website”)

Output: ChatGPT generates separate emails per lead.

Example subject line (shown in the video):

• “Elevate your online presence with a stunning new website”

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5) Send volume + close-rate expectation (simple KPI guidance)

• Suggested cadence: 15–20 emails per day
• Expected conversion: minimum of ~5 clients per month (claim)

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Frameworks / playbooks explicitly used or implied

• Outbound GTM loop: lead sourcing → data structuring → personalization → sending → conversion
• Personalization at scale: ChatGPT-generated individualized emails
• Marketplace replacement strategy: direct prospecting via niche + geography targeting

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Key metrics / KPIs mentioned (targets & timelines)

• Lead hunting target: 10–15 clients/month
• Outbound volume target: 15–20 emails/day
• Conversion target: minimum ~5 clients/month

No explicit revenue, CAC, LTV, churn, or margins are provided.

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Concrete examples and actionable recommendations

Example niches

• Doctors, dentists, real estate agents

Example geographies

• Germany, USA, France, Canada (with primary “unlimited USA clients” framing)

Email-domain testing

• Use gmail.com or outlook.com to find different segments

Example email subject

• “Elevate your online presence with a stunning new website”

Recommendation (actionable)

• Customize the offer to the service provider’s expertise (example: web development)
• Ensure personalization includes the recipient’s name
• Use ChatGPT to structure leads into a usable table before drafting emails

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Presenter(s) / source(s)

No specific person is named in the subtitles; the speaker provides the method and examples (including a sample web-development offer and a ChatGPT-based workflow).