Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
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Transformez l'attention en conviction avec des séquences email evergreen qui font progresser les leads de curiosité → confiance → call booké, basé sur la méthodologie A5 du Marketing Swarm de Lasse Flagstad. Use when: **Créer une séquence evergreen** - Emails automatiques qui tournent indéfiniment; **Réactiver une liste froide** - Réveiller des leads dormants sans spam; **Structurer le nurturing post-lead-magnet** - Que se passe-t-il après l'opt-in?; **Définir les segments et triggers** - HOT...
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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Transformez l'attention en conviction avec des séquences email evergreen qui font progresser les leads de curiosité → confiance → call booké, basé sur la méthodologie A5 du Marketing Swarm de Lasse Flagstad.
Source: Lasse Flagstad - A5 Nurture Orchestrator (Marketing Swarm, 2025)
Core Principle: "Le nurturing n'est pas du spam programmé. C'est une conversation asynchrone qui construit la confiance pendant que vous dormez. Chaque email doit apporter de la valeur OU faire avancer vers la décision."
Why This Matters: La plupart des leads ne sont pas prêts à acheter immédiatement. Sans nurturing, vous perdez 80% de votre pipeline. Avec un bon système, vous restez top-of-mind jusqu'au moment où ils sont prêts.
| 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 |
J'ai des leads qui opt-in mais je ne sais pas quoi leur envoyer après. Crée ma séquence nurture avec le skill nurture-sequences.
J'ai 2000 emails qui n'ont pas ouvert depuis 3 mois. Comment les réactiver sans tuer ma délivrabilité?
Ma séquence a un taux d'ouverture de 15% et 1% de clics. Audite et propose des améliorations.
## Nurture Audit
**ESP & Domain:**
- ESP utilisé: _____________
- Domaine d'envoi contrôlé: [ ] Oui [ ] Non
- SPF/DKIM/DMARC configuré: [ ] Oui [ ] Non [ ] Je ne sais pas
**Liste actuelle:**
- Taille: _____ contacts
- Actifs (ouvert/cliqué 30j): _____ (~___%)
- Idle (30-90j sans activité): _____
- Cold (>90j sans activité): _____
- Taux de bounce estimé: ___%
**Séquence actuelle:**
[ ] Aucune séquence automatique
[ ] Welcome email uniquement
[ ] Séquence ___ emails
[ ] Newsletter régulière
**Fréquence confort:**
[ ] 1x/semaine (safe)
[ ] 2x/semaine (standard)
[ ] 3x/semaine (aggressive)
**Tone:**
[ ] Formel (B2B corporate)
[ ] Neutre (professionnel friendly)
[ ] Conversationnel (comme un ami)
[ ] Edgy (polarisant, opinion forte)
## Email Loop Structure
**Objectif:** Faire progresser de "curieux" à "convaincu" en 5 touches
**Email 1: Resource (Valeur immédiate)**
- Timing: Immédiat après opt-in
- But: Délivrer la promesse + quick win
- Contenu: Lead magnet + 1 insight bonus + question ouverte
- CTA: Soft ("Reply if you want...")
**Email 2: Case (Preuve sociale)**
- Timing: +2-3 jours
- But: Montrer que ça marche pour des gens comme eux
- Contenu: 1 client story avec chiffres + before/after
- CTA: Soft ("Curious if this resonates?")
**Email 3: Insight (POV différenciant)**
- Timing: +2-3 jours
- But: Challenger leur façon de penser
- Contenu: "La plupart pensent X. En réalité Y."
- CTA: Medium ("If this clicked, here's the next step...")
**Email 4: Invite (Proposition claire)**
- Timing: +3-4 jours
- But: Présenter l'offre sans friction
- Contenu: Ce qu'on fait, pour qui, comment ça marche, next step
- CTA: Direct (booking link)
**Email 5: Check-in (Relance légère)**
- Timing: +4-5 jours
- But: Dernière chance sans pression
- Contenu: "Still interested?" + question binaire
- CTA: Reply-based ("Reply YES if you want the details")
## Email 1: Resource
**Subject lines (test 2-3):**
- "Here's [asset] as promised"
- "[Asset] + something extra"
- "Your [topic] shortcut"
**Preview:** The thing you asked for + a bonus question
**Body:**
---
Hey [first_name],
Here's [asset/lead magnet]: [LINK]
Most people who grab this are trying to [outcome].
Quick tip that's not in the guide: [1 bonus insight in 2 sentences].
Curious — what's your biggest challenge with [topic] right now?
[Signature]
---
**CTA:** Reply-based (no link)
**Length:** ~80 words
## Email 2: Case
**Subject lines:**
- "How [client type] went from [before] to [after]"
- "[Result] in [timeframe] — here's how"
- "This might be you"
**Preview:** A quick story that might sound familiar
**Body:**
---
[First_name],
Quick story:
[Client name/type] came to us [situation — 1 sentence].
Their biggest problem? [Pain point in their words].
[2-3 sentences on what changed and the result with numbers]
What made the difference: [1 key insight/mechanism].
Does this sound like your situation?
[Signature]
---
**CTA:** Question (reply-based)
**Length:** ~100 words
## Email 3: Insight
**Subject lines:**
- "The [topic] mistake everyone makes"
- "Why [common approach] doesn't work anymore"
- "Unpopular opinion about [topic]"
**Preview:** Something most people get wrong
**Body:**
---
[First_name],
Most [ICP type] think [common belief].
I used to think the same thing.
But here's what I've seen after [experience/data]:
[Contrarian insight in 2-3 sentences]
The fix isn't [obvious solution].
It's [your mechanism/approach in 1 sentence].
If this clicked for you, [soft CTA — usually a link or reply].
[Signature]
---
**CTA:** Medium (link to content or reply)
**Length:** ~90 words
## Email 4: Invite
**Subject lines:**
- "Is this a fit?"
- "Here's exactly what we do"
- "Quick overview of [offer name]"
**Preview:** A clear look at how this works
**Body:**
---
[First_name],
You've seen [what they've consumed so far].
Here's what working together actually looks like:
**Who it's for:**
- [Criteria 1]
- [Criteria 2]
- [Criteria 3]
**What happens:**
[2-3 sentences on mechanism/process]
**What you get:**
[Key deliverables/outcomes — bullet points]
**Next step:**
[Clear CTA — usually booking link]
If now's not the right time, no pressure.
But if you're ready — [link].
[Signature]
---
**CTA:** Direct (booking link)
**Length:** ~120 words
## Email 5: Check-in
**Subject lines:**
- "Still thinking about it?"
- "Quick check-in"
- "Yes or no?"
**Preview:** No pressure, just checking
**Body:**
---
[First_name],
Just checking in — are you still interested in [outcome]?
If yes, reply "YES" and I'll send over [next step / more details].
If the timing isn't right, totally get it. Just reply "LATER" and I'll follow up in a few months.
Either way, appreciate you.
[Signature]
---
**CTA:** Reply-based (binary choice)
**Length:** ~50 words
## Segment Definitions
**HOT (High Intent)**
- Definition: Clicked/visited VSL or booking page in last 7 days
- Behavior: Actively evaluating
- Treatment: Invite + reminder email, skip to Email 4-5
- Exit: Books call or goes cold
**WARM (Engaged)**
- Definition: Opened or clicked in last 30 days
- Behavior: Interested but not ready
- Treatment: Full 5-email loop + weekly value
- Exit: Becomes HOT (visits VSL) or IDLE (no activity 30 days)
**IDLE (Cooling)**
- Definition: No open/click for 30-90 days
- Behavior: Lost interest or inbox issues
- Treatment: Reactivation micro-asset (1 high-value email)
- Exit: Re-engages → WARM, or stays idle → COLD
**COLD (Dormant)**
- Definition: >90 days no activity
- Behavior: Probably forgot you exist
- Treatment: Rescue sequence (3 emails) or sunset
- Exit: Re-engages → WARM, or unsubscribe/remove
**Trigger Map:**
- New subscriber → WARM → Start Email 1
- Clicks VSL link → HOT → Jump to Email 4
- No activity 30 days → IDLE → Reactivation email
- No activity 90 days → COLD → Rescue or sunset
## 3 Retargeting Snippets (for A4/Ads)
**Snippet 1: Proof-led**
"[Client type] went from [before] to [after] in [timeframe].
Here's the system → [CTA]"
**Snippet 2: POV-led**
"Still doing [old way]?
There's a faster path → [CTA]"
**Snippet 3: Invite-led**
"Ready to [outcome]?
Book a quick call → [CTA]"
**Usage:**
- Meta/IG: Image + snippet as primary text
- Email subject: Use as inspiration
- LinkedIn: Adapt for carousel hooks
## 2-Week Proof → Post Schedule
**Week 1:**
- Mon: Case study email (Email 2 variant)
- Wed: LinkedIn post (same case, hook format)
- Fri: Retargeting ad (Snippet 1)
**Week 2:**
- Mon: New proof email (different client)
- Wed: LinkedIn post (contrarian insight from case)
- Fri: Email 3 (Insight) referencing both proofs
**Rotation:**
- Swap in new proof every 2-4 weeks
- Archive top performers for retargeting
- Feed best-performing angles to A3/Hooksmith
## Target Metrics (Adjust by Industry)
| Metric | Floor | Target | Great |
|--------|-------|--------|-------|
| Open/Reach Rate | 20% | 30-40% | 50%+ |
| Click-through Rate | 2% | 4-6% | 8%+ |
| Reply Rate | 0.5% | 1-2% | 3%+ |
| Unsubscribe/send | <0.5% | <0.3% | <0.1% |
| Booking from loop | 0.5% | 1-2% | 3%+ |
**Red Flags:**
- Open rate <15% → Deliverability issue or bad subject lines
- CTR <1% → Content not resonating or CTA unclear
- Unsub >1% per send → Too aggressive or wrong audience
- Spam complaints >0.1% → Stop sending, clean list
Sequence:
Timing: 0, +3, +6, +10, +14 days Result: 2.5% lead → demo booking rate
Sequence:
Timing: 0, +2, +4, +7, +10 days Result: 3% lead → discovery call rate
| Problem | Likely Cause | Fix |
|---|---|---|
| Low open rates | Subject lines or deliverability | A/B test subjects, check spam score |
| Opens but no clicks | Content doesn't match expectation | Align preview text with body |
| Clicks but no bookings | Friction in booking flow | Simplify, add calendar in email |
| High unsubscribes | Wrong audience or too frequent | Segment tighter, reduce frequency |
| Replies but no conversions | Qualification issue | Add pre-qualification in sequence |
| Deliverability dropping | Domain/IP reputation | Warm up, clean list, reduce volume |
## Checklist Before Sending
**Technical:**
[ ] SPF record configured
[ ] DKIM signing enabled
[ ] DMARC policy set
[ ] Sending domain warmed (if new)
**List Hygiene:**
[ ] Double opt-in (or clear consent)
[ ] Bounces removed automatically
[ ] Unsubscribe link in every email
[ ] Complaints monitored
**Content:**
[ ] No spam trigger words
[ ] Text-to-image ratio reasonable
[ ] Links not flagged
[ ] Mobile preview checked
email-writing/ - Craft individual emailsdistribution-engine/ - How leads enter the sequencelaunch-formula/ - Jeff Walker's launch sequencesdistribution-engine/ - Feed leads into this sequenceemail-writing/ - Individual email craftlanding-page-copy/ - Optimize opt-in pagesdotcom-secrets/ - Advanced funnel sequencesSkill version: 1.0 Last updated: 2026-01-28 Source: Lasse Flagstad Marketing Swarm
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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。