Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
日本語の概要は準備中です。原文の説明を表示しています。
Construisez un système de distribution complet (posting, DM delivery, retargeting, tracking) qui transforme vos hooks en pipeline prévisible, basé sur la méthodologie A4 du Marketing Swarm de Lasse Flagstad. Use when: **Lancer une machine de contenu LinkedIn/X** - Cadence, review flow, posting engine; **Automatiser les DMs après engagement** - Trigger → message → tag → booking; **Installer le retargeting** - Email + Meta/IG pour ne jamais perdre un lead; **Créer un dashboard simple** - Les 6 ...
日本語の概要は準備中です。原文の説明を表示しています。
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Construisez un système de distribution complet (posting, DM delivery, retargeting, tracking) qui transforme vos hooks en pipeline prévisible, basé sur la méthodologie A4 du Marketing Swarm de Lasse Flagstad.
Source: Lasse Flagstad - A4 Distribution Engineer (Marketing Swarm, 2025)
Core Principle: "La distribution n'est pas un add-on. C'est le système nerveux de votre marketing. Sans wiring propre, même les meilleurs hooks meurent dans le vide."
Why This Matters: La plupart des créateurs produisent du contenu sans système de capture. Le Distribution Engine connecte chaque point de contact (post, comment, DM, email, ad) en un flux mesurable et optimisable.
| Claude Does | You Decide |
|---|---|
| Structures production workflow | Final creative direction |
| Suggests technical approaches | Equipment and tool choices |
| Creates templates and checklists | Quality standards |
| Identifies best practices | Brand/voice decisions |
| Generates script outlines | Final script approval |
Je lance du contenu sur LinkedIn mais je n'ai aucun système de capture. Aide-moi à construire mon distribution engine.
J'ai des posts qui performent mais je perds les leads entre le comment et le booking. Audite mon flow avec le skill distribution-engine.
Je veux savoir exactement combien de leads passent de post → DM → call → close. Configure mon tracking.
## Inventory Check
**Email/CRM:**
[ ] ESP: _____________ (ConvertKit, Mailchimp, Brevo, etc.)
[ ] CRM: _____________ (HubSpot, Pipedrive, Notion, etc.)
**Automation:**
[ ] DM Tool: _____________ (Phantombuster, Dripify, manuel)
[ ] Calendar: _____________ (Calendly, Cal.com, HubSpot)
**Tracking:**
[ ] Analytics: _____________ (GA4, Plausible, Fathom)
[ ] Meta Pixel: [ ] Installé [ ] Non
[ ] LinkedIn Insight Tag: [ ] Installé [ ] Non
**Content:**
[ ] Posting queue: _____________ (Buffer, Hypefury, manuel)
[ ] Link shortener: _____________ (Short.io, Bitly, none)
**Access this week:**
[ ] ESP [ ] Calendar [ ] DM tool [ ] Analytics [ ] Ad Manager
Why each matters:
## Posting Engine v1
**Who posts:**
[ ] Founder only (personal brand)
[ ] Founder + team member (amplification)
[ ] Team via queue (scaled content)
**Platform priority:**
1. _____________ (primary - usually LinkedIn)
2. _____________ (secondary - X, newsletter, etc.)
**Cadence:**
- Primary: ___ posts/week
- Secondary: ___ posts/week
- Stories/ephemeral: ___ /week
**Review flow:**
[ ] Draft → Self-review → Post
[ ] Draft → Peer review → Schedule
[ ] AI draft → Human edit → Schedule
**Best slots (test these):**
- LinkedIn: Tue-Thu 7-9am, 12pm, 5-6pm local ICP time
- X: Varies by audience, test 4 slots
**Content mix (per 4 posts):**
- 1 Comment-magnet (engagement driver)
- 1 Proof/case study (credibility)
- 1 POV/insight (thought leadership)
- 1 Soft CTA (booking/lead magnet)
## DM Delivery Map
**Trigger → Message → Action**
1. **Comment with keyword** (e.g., "MAP", "GUIDE", "YES")
→ Auto-DM: "[Asset] + starter question"
→ Tag: lead_commented
→ Action: Add to nurture sequence
2. **Profile visit** (if tool allows)
→ Manual or auto DM: "Saw you checked us out..."
→ Tag: profile_visitor
3. **Post engagement** (like/repost without comment)
→ Soft DM after 24h: "Thanks for engaging..."
→ Tag: warm_lead
**DM Templates (3 tones):**
**Friendly:**
"Hey [name]! Saw your comment — here's the [asset] as promised.
Quick Q: What's your biggest challenge with [topic] right now?"
**Direct:**
"[Asset] link: [URL]
One question: Are you actively trying to fix [problem] or just researching?"
**Curious:**
"Sent! Curious — what made you comment on that post specifically?"
**Rules:**
- Respond within 2h during business hours
- Max 2 follow-ups if no reply
- Always end with a question (keeps thread alive)
- Tag everything for segmentation
## Retargeting v1 (Never Lose a Lead)
**Layer 1: Email (3-touch minimum)**
- Touch 1: Value delivery (lead magnet, insight)
- Touch 2: Proof/case (social proof, numbers)
- Touch 3: Soft invite (booking, VSL)
**Layer 2: Meta/IG Retargeting**
- Audience: Website visitors 7-30 days
- Exclude: Already booked / customers
- Creative: 3 variants (proof, POV, invite)
- Budget: $5-20/day to start
**Layer 3: LinkedIn (optional)**
- Insight Tag on key pages (VSL, booking)
- Matched audience from email list
- Thought leader ads (boost organic posts)
**Pixel placement:**
- Homepage: awareness
- VSL/Sales page: intent
- Booking page: high intent
- Thank you page: conversion (exclude from retargeting)
## Event Naming (Creative, Not Generic)
**Standard events → Story-driven names:**
- page_view → entered_universe
- scroll_50 → reading_deep
- video_play → watching_proof
- cta_click → raised_hand
- form_start → committing
- form_complete → opted_in
- book_click → booking_intent
- booked_call → pipeline_added
- showed_up → serious_buyer
- closed_won → customer_born
**UTM Structure:**
?utm_source=[platform] &utm_medium=[content_type] &utm_campaign=[campaign_name] &utm_content=[specific_post_id]
**Examples:**
- LinkedIn comment-magnet post:
`?utm_source=linkedin&utm_medium=post&utm_campaign=lead_magnet_jan&utm_content=hook_v1`
- Email nurture touch 2:
`?utm_source=email&utm_medium=nurture&utm_campaign=evergreen&utm_content=proof_email`
- Meta retargeting ad:
`?utm_source=meta&utm_medium=retargeting&utm_campaign=vsl_push&utm_content=testimonial_ad`
## Daily Dashboard
| Metric | Source | Target | Red Flag |
|--------|--------|--------|----------|
| **Impressions** | LinkedIn/X analytics | Trending up | -30% WoW |
| **Engagement Rate** | (likes+comments)/impressions | >3% | <1.5% |
| **DMs Sent** | DM tool or manual count | X/day | 0 for 2+ days |
| **Leads Captured** | CRM/ESP | X/week | <50% of target |
| **Calls Booked** | Calendar | X/week | <30% of leads |
| **Show Rate** | Calendar + CRM | >75% | <60% |
**Weekly Review Questions:**
1. Which post drove most DMs this week?
2. What's the comment → DM → book conversion?
3. Which retargeting creative is winning?
4. Where's the biggest drop-off in the funnel?
**Monthly Actions:**
- Prune dead automations
- Refresh retargeting audiences
- Test 1 unconventional distribution play
Setup:
Flow:
Post with hook + "Comment GUIDE"
↓
DM with lead magnet + question
↓
Reply qualifies → Send booking link
↓
Email reminder (T-24h, T-2h)
↓
Call → Close or nurture
Results tracked:
Setup:
Flow:
LinkedIn post (founder) + X thread (team)
↓
Auto-DM on comment keyword
↓
Lead magnet delivery + CRM tag
↓
Email nurture (5-touch evergreen)
↓
Meta retargeting (VSL viewers)
↓
Booking page → Call → Close
Dashboard:
## Before First Post
**Tracking:**
[ ] UTM structure defined
[ ] Analytics installed (GA4 or alternative)
[ ] Key events configured
[ ] Pixels placed (Meta, LinkedIn if using)
**Capture:**
[ ] DM templates written (3 tones)
[ ] Keyword chosen for comment-magnet
[ ] Lead magnet ready to send
[ ] CRM/ESP tags created
**Flow:**
[ ] Posting schedule set
[ ] Review process defined
[ ] First week of content drafted
[ ] Retargeting audiences created (even if not running yet)
**Dashboard:**
[ ] 6 metrics identified
[ ] Tracking source for each
[ ] Weekly review time blocked
## Distribution Health (5 min)
[ ] All links working?
[ ] DM tool connected?
[ ] New leads tagged correctly?
[ ] Retargeting audiences updating?
[ ] Any automation errors?
## Performance (10 min)
[ ] Best post this week?
[ ] Worst post this week?
[ ] DM → Book conversion?
[ ] Show rate?
[ ] One thing to test next week?
| Problem | Likely Cause | Fix |
|---|---|---|
| Posts get views, no comments | Hook not comment-worthy | Add explicit CTA ("Comment X if...") |
| Comments but no DMs sent | Automation broken or too slow | Check tool, reduce delay |
| DMs sent, no replies | Message too salesy | Lead with value, end with question |
| Leads but no bookings | Friction in booking flow | Simplify, add calendar link in DM |
| Bookings but no-shows | Weak reminders | Add SMS, value reminder in email |
| Retargeting not working | Pixel not firing | Use Meta Pixel Helper to debug |
Beyond standard posting:
sources/swarms/lasse-marketing-swarm.md (if saved)headline-formulas/ - Craft the hooks that feed this enginenurture-sequences/ - What happens after lead captureemail-writing/ - Craft the emails in your sequenceslanding-page-copy/ - Optimize the pages leads land onSkill version: 1.0 Last updated: 2026-01-28 Source: Lasse Flagstad Marketing Swarm
まだレビューはありません。使ってみた感想をお寄せください。
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Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
日本語の概要は準備中です。原文の説明を表示しています。
Calculate A/B test statistical significance. Use when: determining if test results are significant; calculating required sample size; estimating test duration; analyzing conversion experiments; making data-driven decisions
日本語の概要は準備中です。原文の説明を表示しています。
Assess customer account health using product usage, support sentiment, payment status, and relationship signals
日本語の概要は準備中です。原文の説明を表示しています。
Analyze paid advertising performance across channels and recommend budget reallocation to maximize ROAS and minimize CAC. Use when: planning quarterly ad budget allocation, diagnosing underperforming ad channels, deciding whether to scale spend on a channel, calculating marginal ROI across Google Ads, Meta, LinkedIn, or TikTok, rebalancing media mix after performance shifts, or setting up a test-and-scale framework for new channels.
日本語の概要は準備中です。原文の説明を表示しています。
Use when testing skills, commands, or agents for quality. Use after creating new skills, before deploying agents, or when debugging inconsistent agent behavior. Triggers on "evaluate", "test quality", "is this skill working", or QA of AI workflows.
日本語の概要は準備中です。原文の説明を表示しています。
Use when analyzing server logs to understand how AI crawlers (GPTBot, ClaudeBot, PerplexityBot) interact with your site. Use when optimizing content placement for LLM retrieval, diagnosing why AI search isn't citing your content, or auditing crawl patterns to find optimization gaps.
日本語の概要は準備中です。原文の説明を表示しています。