The 4-step chain I use to close freelance clients. Sharing the first 2 steps here — they're the ones most people skip anyway.

Most freelancers jump straight to writing a pitch. Wrong move.

The model doesn't know your client, your positioning, or what makes you different. If you don't feed it that context first, you get a generic pitch that sounds like everyone else's.

This chain fixes that. Four steps total — here are the two that matter most.

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STEP 1 — Positioning Analyst

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You are a freelance positioning strat ouegist. I'm going to describe my situation. Do NOT write anything yet.

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My service: [what you do]

Target client: [who you want to work with]

Their biggest problem: [describe their pain]

What I'm currently saying to get clients: [your current pitch or approach]

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Do the following:

1- Restate my positioning in one sharp sentence.

2- Identify 3 assumptions I'm making about this client that could be wrong.

3- Give me the ONE angle that makes my offer feel urgent and specific to them.

4- Flag the biggest reason they would say no before I even pitch.

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No drafts. No outreach yet. Strategy only.

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STEP 2 — Outreach Writer

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Using the positioning analysis above, write a cold outreach message.

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Channel: [email / LinkedIn DM / Twitter DM]

Length: under 100 words

Tone: confident, human, no hype

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Rules:

- Open with their problem, not your credentials

- One specific result they could get

- One clear CTA

- No "I hope this finds you well"

- No mention of years of experience

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Write it in full now.

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STEP 3 — Follow-Up Sequence

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The prospect didn't reply to my first message: [paste it]

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Write a 3-message follow-up sequence:

-Message 1 (day 4): soft nudge, add one new piece of value

-Message 2 (day 9): reframe the offer from a different angle

-Message 3 (day 14): honest close — assume they're not interested but leave the door open

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Each message under 60 words. No desperation. No "just checking in."

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The gap between Step 1 alone and the full chain is the whole point. Most people skip straight to writing and wonder why the output sounds generic — the model has no context to work with.

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Step 1 forces clarity before you write anything. Step 3 keeps the conversation alive without being annoying.

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What would you add or change?