Outbound optimizer
Skill genfeedai/skills/bundles/gtm-strategy/skills/outbound-optimizer
AI skills for content creation, SEO, advertising, image prompting, and strategy. Works standalone with Claude Code — works better with Genfeed.ai. Install: bunx skills add genfeedai/skills
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Improve outbound strategy and cold email or DM messaging with value-first personalization, prospecting systems, sequence diagnosis, and response-rate fixes. Triggers on cold outreach, outbound sequences, low replies, prospecting strategy, and sales DMs.
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SKILL.md
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Outbound Optimizer - Cold Outreach Revenue Machine
Overview
Executes an outreach transformation using Alex Hormozi's outbound principles — diagnosing current messaging and producing high-converting templates that lead with value, prove personalization, and make zero-commitment offers.
Hormozi's Core Principle: "Outbound is the fastest way to revenue. Most people just suck at it. Lead with value, not pitch."
The Framework: Value-First Outbound
Key Principles:
- Lead with Value: Solve their problem before asking for anything
- Prove Research: Show you know THEM, not just their industry
- Zero Commitment First: Offer something with no strings attached
- Natural CTA: Make the next step feel obvious, not pushy
- Volume + Quality: Bad outreach at volume = spam. Good outreach at volume = revenue.
Execution Workflow
Step 1: ICP Clarity
Ask the user:
Who exactly are you reaching out to?
- What's their job title/role?
- What company size/type?
- What industry or vertical?
- What pain are they experiencing RIGHT NOW?
- Why should THEY specifically care about what you offer?
- What would make them say "this person actually gets my situation"?
ICP Framework:
| Element | Question | Example |
|---|---|---|
| Title | Who decides? | Marketing Directors |
| Company | What type? | B2B SaaS, $1-10M ARR |
| Pain | What hurts? | Content isn't converting to leads |
| Trigger | Why NOW? | Just raised funding, hiring marketers |
| Proof | Why YOU? | We helped [similar company] get [result] |
Step 2: Current Message Audit
Ask the user:
Share your current outreach message(s):
- What's your current cold email or DM?
- What's your subject line?
- What's your response rate? (Be honest)
- What responses do you typically get?
- How many do you send per day/week?
Common Problems to Diagnose:
| Issue | Symptom | Fix |
|---|---|---|
| Too long | Wall of text | Under 100 words |
| No hook | Boring first line | Lead with insight |
| No research | Generic message | Personalize first line |
| All about YOU | "I/We/Our" focus | Talk about THEM |
| Pushy CTA | "Book a call" immediately | Zero-commitment offer |
| No value | Just asking for time | Give something first |
Step 3: The Value-First Rewrite
Formula:
[Personalized opener showing research]
[Observation/insight about their situation]
[Value you can offer for free]
[Zero-commitment CTA]
First Sentence Test:
- Does it prove you researched THEM specifically?
- Would this apply to 100 other people? (If yes, it's not personalized)
- Does it make them want to read more?
Step 4: Message Components
Component 1: The Hook (First Line)
Make it impossible to ignore. Prove you know them.
Good Examples:
- "Saw your post about [specific thing] — made me think of [insight]"
- "Noticed you're hiring [role] — usually means [pain point]"
- "[Mutual connection] mentioned you're working on [project]"
- "Your [blog/podcast/talk] on [topic] was [specific reaction]"
Bad Examples:
- "Hope this email finds you well"
- "I'm reaching out because..."
- "My name is X and I work at Y"
- "I came across your profile..."
Component 2: The Observation
Show you understand their world.
Good Examples:
- "Companies at your stage usually struggle with [problem]"
- "Saw you're scaling — that usually creates [challenge]"
- "Most [role] I talk to are dealing with [pain]"
Component 3: The Value Offer
Give before you ask.
Zero-commitment offers:
- "Made you a quick [audit/video/analysis]"
- "Put together [resource] that might help"
- "Happy to share how we solved this for [similar company]"
- "Have a [template/framework] we use — yours if useful"
Component 4: The CTA
Make it natural and low-friction.
Good CTAs:
- "Worth a look?"
- "Interested?"
- "Want me to send it over?"
- "Open to a quick look?"
Bad CTAs:
- "Let's book a 30-minute call"
- "When are you free to chat?"
- "I'd love to pick your brain"
- "Can we schedule a demo?"
Step 5: Follow-Up Sequence
Sequence Framework:
| Timing | Purpose | |
|---|---|---|
| #1 | Day 0 | Initial value offer |
| #2 | Day 3 | Bump with additional value |
| #3 | Day 7 | Different angle/insight |
| #4 | Day 14 | Social proof or case study |
| #5 | Day 21 | Break-up email |
Follow-Up Templates:
Email 2 (Value Bump):
"Quick follow-up — [additional insight or value]. [Restate offer]."
Email 3 (Different Angle):
"[New observation about their business]. Thought this might be relevant."
Email 4 (Social Proof):
"Just helped [similar company] with [result]. Thought of you."
Email 5 (Break-Up):
"Closing the loop on this. If [problem] isn't a priority right now, no worries. Door's open when it is."
Step 6: Response Handling
When They Respond Positively:
- Thank them briefly
- Deliver the promised value
- Ask ONE qualifying question
- Suggest a specific next step
When They Say "Not Now":
"Totally understand. Mind if I check back in [timeframe]? Things change."
When They Ask "What's This About?":
"In short: [1-sentence value prop]. [Offer the value you promised]. Happy to share more if helpful."
When They're Skeptical:
"[Acknowledge concern]. Totally fair. [Proof point]. Happy to share [example/case study] if useful."
Output Format
# Outbound Optimization: [Business/Offer Name]
## ICP Definition
**Target:**
- **Title:** [Job title/role]
- **Company:** [Size, type, industry]
- **Pain:** [Core problem they have]
- **Trigger:** [Why they'd care NOW]
- **Proof Point:** [Why you can help]
## Current Message Audit
**Your Current Message:**
> [Their current outreach]
**Issues Identified:**
1. [Problem 1] — [Why it hurts performance]
2. [Problem 2] — [Why it hurts performance]
3. [Problem 3] — [Why it hurts performance]
**Response Rate:** X% (Target: 5-10% for cold email)
## Optimized Outreach
### Email 1: Initial Outreach
**Subject:** [Subject line]
**Body:**
> [Full rewritten message]
**Why It Works:**
- Hook: [Why the first line works]
- Value: [What you're offering]
- CTA: [Why the CTA is low-friction]
### Email 2: Follow-Up (Day 3)
**Subject:** [Subject line]
**Body:**
> [Follow-up message]
### Email 3: Different Angle (Day 7)
**Subject:** [Subject line]
**Body:**
> [Different angle message]
### Email 4: Social Proof (Day 14)
**Subject:** [Subject line]
**Body:**
> [Social proof message]
### Email 5: Break-Up (Day 21)
**Subject:** [Subject line]
**Body:**
> [Break-up message]
## Personalization Framework
### Research Checklist
For each prospect, find:
- [ ] Recent post, article, or interview
- [ ] Company news or announcement
- [ ] Hiring activity or new roles
- [ ] Technology they use
- [ ] Mutual connections
### Personalization Templates
**Pattern 1: Content-Based**
> "Your [post/article] on [topic] resonated — especially [specific point]."
**Pattern 2: Hiring Signal**
> "Noticed you're hiring [role] — usually means [pain you solve]."
**Pattern 3: Company News**
> "Saw the news about [event]. [Insight about what it means]."
**Pattern 4: Mutual Connection**
> "[Name] mentioned you're working on [project]. Made me think of [value]."
## Response Scripts
### Positive Response
> "[Thanks]. Here's [value you promised]. Quick question: [qualifying question]? If [condition], [specific next step]."
### "Not Now" Response
> "No problem at all. Would it make sense to reconnect in [timeframe]? Happy to check back then."
### "What's This?" Response
> "Good question. [1-sentence value prop]. [Reoffer the value]. Worth a look?"
### Skeptical Response
> "Totally fair to ask. [Proof point — specific result for similar company]. Happy to share the case study if helpful."
## Metrics to Track
| Metric | Current | Target |
|--------|---------|--------|
| Emails Sent/Day | X | X |
| Open Rate | X% | 40%+ |
| Response Rate | X% | 5-10% |
| Positive Response Rate | X% | 3-5% |
| Meetings Booked/Week | X | X |
| Meeting → Customer Rate | X% | X% |
## Implementation Checklist
### This Week
- [ ] Finalize ICP definition
- [ ] Set up email/sending tool
- [ ] Create personalization research process
- [ ] Write and load email sequence
- [ ] Send first batch of 20-50 emails
### Ongoing
- [ ] Send X outreach per day
- [ ] A/B test subject lines
- [ ] Track response patterns
- [ ] Iterate on messaging weekly
Volume Guidelines
Quality + Volume = Results
| Stage | Volume | Focus |
|---|---|---|
| Testing (Week 1-2) | 20-50/day | Find what works |
| Scaling (Week 3-4) | 50-100/day | Systematize |
| Cruising (Month 2+) | 100+/day | Maintain and iterate |
Rule: Never sacrifice personalization for volume. Better to send 50 great emails than 500 spam.
Integration with Other Skills
| Skill | How It Works Together |
|---|---|
leads-researcher | Find and research prospects |
offer-architect | Make the offer being pitched irresistible |
| Genfeed copywriter | Polish the messaging |
lead-channel-optimizer | Compare outbound to other channels |
execution-accelerator | Stop overthinking, start sending |
Common Mistakes to Avoid
- Spray and pray: Mass emails with no personalization
- All about you: "I/We/Our" in every sentence
- Asking too soon: "Book a call" in first email
- Novel-length emails: More than 100 words
- Boring subject lines: "Quick question" or "Introduction"
- No follow-up: 80% of deals happen after email 5
- Wrong ICP: Reaching out to people who can't buy
The Outbound Math
Example:
- 100 emails/day × 5 days = 500 emails/week
- 5% response rate = 25 responses
- 50% positive responses = 12-13 interested
- 50% book calls = 6-7 calls/week
- 20% close rate = 1-2 customers/week
That's 4-8 customers/month from outbound alone.
Gotchas
- Never trigger outreach sending automatically. Generating templates and sequences is safe; actually sending emails or DMs requires explicit user confirmation and a connected sending tool.
- Personalization depth vs. volume trade-off: Sequences generated here are templates — real personalization of the first line must happen per-prospect before sending.
- CAN-SPAM / GDPR compliance: Cold email rules vary by jurisdiction. Always remind the user to include an unsubscribe mechanism and validate legal requirements for their target region.
- Domain reputation: Sending from a primary domain risks deliverability. Recommend a dedicated sending subdomain or separate domain.
When to Route Elsewhere
- If not enough leads overall →
lead-channel-optimizer - If the offer isn't converting →
offer-architect - If stuck on what to say →
execution-accelerator - If pricing is wrong →
pricing-strategist
Gives 0 of the 12 instructions most sales crm skills give in ~2.9k tokens
Counted across 361 of the 361 authors here whose files we hold, read 2026-08-06
- Read product marketing context before writing if it existsin 22 of 361, across 14 files
- keep the ask low-frictionin 16 of 361, across 7 files
- Call RUBE_SEARCH_TOOLS firstin 15 of 361, across 5 files
- personalize every outbound messagein 13 of 361, across 4 files
- confirm connection status is activein 13 of 361, across 4 files
- Keep forwardable blurbs under 100 wordsin 13 of 361, across 4 files
- State if personalization context is missingin 13 of 361, across 4 files
- Cut any sentence that does not drive a replyin 13 of 361, across 4 files
- Use proof instead of adjectivesin 12 of 361, across 3 files
- Use a single, low-friction call to actionin 12 of 361, across 4 files
- Calibrate tone to the specific audiencein 12 of 361, across 3 files
- Make each follow-up email add new valuein 12 of 361, across 6 files
Said here and by no other author read
- Ask the user for their ideal customer profile
- Ask the user for their current outreach messages
- Diagnose existing messages for common performance issues
- Rewrite messages using the value-first formula
- Lead the first sentence with specific researched personalization
- Include a zero-commitment offer before asking for anything
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.