aaaaqwq/cold-outreach-sequence

Cold Outreach Sequence

Here's what I've learned about cold outreach: the word "cold" is the problem.

Spray-and-pray templates don't work. 10 minutes of research + a specific reference = not cold anymore. This skill builds the second kind.

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Context Loading Gates

Before writing any message, collect:

• [ ] Prospect name and company — full name, company, role/title
• [ ] Research signals — run tool calls first (see below); do not write without them
• [ ] Sender positioning — what does the sender do, for whom, with what result? (Use positioning-basics output if available)
• [ ] Platform — LinkedIn DM, email, or both?
• [ ] Batch size — how many prospects? (determines tier assignment)

Research tool calls — run before writing:

web_search('[Company] [Founder/Name] news 2026')
web_search('[Company] funding recent')
web_search('[Person name] [Company] LinkedIn')

Personalization constraint: Do not write a Tier 1 message without a named specific signal from research. If search yields 0 signals, default to Tier 3 and say so explicitly.

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Phase 1: Research & Signal Assessment

For each prospect, document findings before drafting:

Signal types (ranked by message strength):

1. Recent news event (funding, launch, hire, press) → strongest signal
2. Recent LinkedIn post activity → strong signal
3. Company stage/growth data → medium signal
4. Role + industry awareness only → weak signal (Tier 3)

Personalization tier assignment:

| Research Result | Tier | Approach | |---|---|---| | Named signal (news + post + context) | Tier 1 | Fully custom, reference signal in every message | | Company info + role context | Tier 2 | Template + personalized opener | | No signals found | Tier 3 | Volume template, minimal customization |

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Phase 2: Sequence Generation

Connection Request (LinkedIn) — 300 chars max

Formula: [Specific observation from research] + [Simple reason to connect]

Rules:

• No pitching
• Prove you did research (name the signal)
• One sentence, conversational
• Never "I'd love to pick your brain"

By signal type:

Recent funding: "Congrats on the Series A — the [investor] backing is a smart signal. Would love to connect."

Recent post: "Your post on [specific topic] resonated — been thinking the same thing. Happy to connect."

News/launch: "Saw the [product] launch — [specific detail] is smart positioning. Would love to connect."

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First Message (After Accept — Wait 24-48 Hours)

Formula: [Thanks] + [Bridge to relevance] + [Light value] + [Soft question]

Template:

Thanks for connecting. I work with [ICP description] on [specific outcome].

Curious — is [relevant function] something you own directly at [Company], 
or is that still founder-led?

Happy to share what I'm seeing work at similar-stage companies either way.

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Follow-Up #1 (Day 7)

Formula: [Light nudge] + [New signal or angle] + [Easy out]

Constraint: Do NOT write "following up" with nothing new. Add one new piece:

• A relevant article or trend
• A related insight you recently had
• A connection to something they posted

Template:

Bumping this up — came across [specific article/trend/insight] and 
thought of your situation at [Company].

[One sentence on why it's relevant to them.]

Happy to share more if useful. If not, no worries.

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Follow-Up #2 (Day 14)

Shift to email if LinkedIn hasn't converted, or try a different angle.

Subject line options:

• "[Company]'s [function] as you scale"
• "Saw your [post/news] — quick thought"
• "Question about [specific thing they're doing]"

Email structure:

[1-line hook tied to their specific situation]

[2-3 sentences: why you're reaching out + one proof point]

[Soft CTA — 1 sentence]

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Break-Up Message (Day 21)

I'll assume timing isn't right — totally get it. 

If [relevant pain point] becomes a priority down the road, happy to reconnect. 
Best of luck with [specific thing they're working on based on research].

Post-break-up action: Add to 6-month re-engagement list with a resurface date.

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Phase 3: Self-Critique Pass (REQUIRED)

After generating the full sequence, evaluate:

• [ ] Does every message reference the specific signal from research, or are they generic?
• [ ] Is the connection request under 300 characters?
• [ ] Does the first message ask a question (invite dialogue) rather than pitch?
• [ ] Does follow-up #1 add something genuinely new, or is it just "following up"?
• [ ] Does the break-up message reference something specific about their situation?
• [ ] Did I correctly assign the personalization tier, or am I over-personalizing a Tier 3 prospect?

Flag any issue: "The first message doesn't include a soft question — it reads as a pitch. Revised to invite dialogue."

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Pipeline Tracking Table

Always output a tracking table for the batch:

| Prospect | Company | Platform | Tier | Sent Date | Response | Stage | Next Action | Resurface Date |
|---|---|---|---|---|---|---|---|---|
| [Name] | [Co] | LinkedIn | 1 | [date] | — | Connection sent | Wait 24-48h | — |
| [Name] | [Co] | Email | 2 | [date] | — | First email sent | Follow-up Day 7 | — |

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Iteration Protocol

After each response (or non-response), ask:

• Did the connection request get accepted? If low acceptance rate → revise the observation line
• Did the first message get a reply? If no → was the question soft enough, or did it feel like a pitch?
• Did follow-ups get ignored? If yes → try a different angle or acknowledge the silence directly

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Output Structure

## Outreach Sequence: [Prospect Name] — [Date]

### Research Summary
- Signal type: [news / post / company info / none]
- Signal found: "[Specific detail]"
- Personalization tier: [1/2/3]
- Source: [URL or platform]

### Sequence

**Connection Request (LinkedIn):**
[Text — max 300 chars]

**First Message (Day 1-2 after accept):**
[Text]

**Follow-Up #1 (Day 7):**
[Text]

**Follow-Up #2 (Day 14):**
Platform: [LinkedIn / Email]
Subject: [if email]
[Text]

**Break-Up (Day 21):**
[Text]

### Pipeline Entry
| Prospect | Company | Platform | Tier | Stage | Next Action | Resurface Date |
|---|---|---|---|---|---|---|
| [Name] | [Co] | [Platform] | [Tier] | Connection sent | Wait 24-48h | — |

### Self-Critique Notes
[Any issues flagged + revisions made]

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Skill by Brian Wagner | AI Marketing Architect | brianrwagner.com