marketing-skill/skills/marketing-demand-acquisition/SKILL.md
Creates demand generation campaigns, optimizes paid ad spend across LinkedIn, Google, and Meta, develops SEO strategies, and structures partnership programs for Series A+ startups scaling internationally. Use when planning marketing strategy, growth marketing, advertising campaigns, PPC optimization, lead generation, pipeline generation, or startup marketing budgets. Covers multi-channel acquisition (Google Ads, LinkedIn Ads, Meta Ads), CAC analysis, MQL/SQL workflows, attribution modeling, technical SEO, and co-marketing partnerships for hybrid PLG/Sales-Led motions in EU/US/Canada markets.
npx skillsauth add alirezarezvani/claude-skills marketing-demand-acquisitionInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Acquisition playbook for Series A+ startups scaling internationally (EU/US/Canada) with hybrid PLG/Sales-Led motion.
Demand Gen: MQL/SQL volume, cost per opportunity, marketing-sourced pipeline $, MQL→SQL rate
Paid Media: CAC, ROAS, CPL, CPA, channel efficiency ratio
SEO: Organic sessions, non-brand traffic %, keyword rankings, technical health score
Partnerships: Partner-sourced pipeline $, partner CAC, co-marketing ROI
| Stage | Tactics | Target | |-------|---------|--------| | TOFU | Paid social, display, content syndication, SEO | Brand awareness, traffic | | MOFU | Paid search, retargeting, gated content, email nurture | MQLs, demo requests | | BOFU | Brand search, direct outreach, case studies, trials | SQLs, pipeline $ |
utm_source={channel} // linkedin, google, meta
utm_medium={type} // cpc, display, email
utm_campaign={campaign-id} // q1-2025-linkedin-enterprise
utm_content={variant} // ad-a, email-1
utm_term={keyword} // [paid search only]
| Channel | Best For | CAC Range | Series A Priority | |---------|----------|-----------|-------------------| | LinkedIn Ads | B2B, Enterprise, ABM | $150-400 | High | | Google Search | High-intent, BOFU | $80-250 | High | | Google Display | Retargeting | $50-150 | Medium | | Meta Ads | SMB, visual products | $60-200 | Medium |
| Channel | Budget | Expected SQLs | |---------|--------|---------------| | LinkedIn | $15k | 10 | | Google Search | $12k | 20 | | Google Display | $5k | 5 | | Meta | $5k | 8 | | Partnerships | $3k | 5 |
See campaign-templates.md for detailed structures.
| Tier | Type | Volume | Priority | |------|------|--------|----------| | 1 | High-intent BOFU | 100-1k | First | | 2 | Solution-aware MOFU | 500-5k | Second | | 3 | Problem-aware TOFU | 1k-10k | Third |
| Tier | Type | Effort | ROI | |------|------|--------|-----| | 1 | Strategic integrations | High | Very high | | 2 | Affiliate partners | Medium | Medium-high | | 3 | Customer referrals | Low | Medium | | 4 | Marketplace listings | Medium | Low-medium |
See international-playbooks.md for regional tactics.
| Model | Use Case | |-------|----------| | First-Touch | Awareness campaigns | | Last-Touch | Direct response | | W-Shaped (40-20-40) | Hybrid PLG/Sales (recommended) |
| Metric | Target | |--------|--------| | MQLs | Weekly target | | SQLs | Weekly target | | MQL→SQL Rate | >15% | | Blended CAC | <$300 | | Pipeline Velocity | <60 days |
See attribution-guide.md for detailed setup.
| Script | Purpose | Usage |
|--------|---------|-------|
| calculate_cac.py | Calculate blended and channel CAC | python scripts/calculate_cac.py --spend 40000 --customers 50 |
See hubspot-workflows.md for workflow templates.
| File | Content | |------|---------| | hubspot-workflows.md | Lead scoring, nurture, assignment workflows | | campaign-templates.md | LinkedIn, Google, Meta campaign structures | | international-playbooks.md | EU, US, Canada market tactics | | attribution-guide.md | Multi-touch attribution, dashboards, A/B testing |
| Metric | LinkedIn | Google Search | SEO | Email | |--------|----------|---------------|-----|-------| | CTR | 0.4-0.9% | 2-5% | 1-3% | 15-25% | | CVR | 1-3% | 3-7% | 2-5% | 2-5% | | CAC | $150-400 | $80-250 | $50-150 | $20-80 | | MQL→SQL | 10-20% | 15-25% | 12-22% | 8-15% |
Required:
✅ Job title: Director+ or budget authority
✅ Company size: 50-5000 employees
✅ Budget: $10k+ annual
✅ Timeline: Buying within 90 days
✅ Engagement: Demo requested or high-intent action
| Handoff | Target | |---------|--------| | SDR responds to MQL | 4 hours | | AE books demo with SQL | 24 hours | | First demo scheduled | 3 business days |
Validation: Test lead through workflow, verify notifications and routing.
data-ai
Use when you want to understand what Claude contributed vs what you drove in a session. Triggers on: /collab-proof, session retrospective, ai contribution analysis, collaboration evidence, what did claude do.
data-ai
Personal coach that teaches users to become Claude power users. Use this skill the FIRST time a user asks to "learn Claude", "be a power user", "coach me", "teach me Claude tricks", "what can Claude do", "make me better at prompting", or any variation. After activation, also use it on EVERY subsequent turn to detect missed optimization opportunities (vague prompts, ignored capabilities, manual work Claude could automate) and surface a single power-user tip. Trigger generously — most users do not know what they do not know, so err on the side of coaching.
development
Use when designing or revisiting product pricing — selecting a pricing model (subscription seat-based, usage-based, value-based, freemium, or hybrid), running Van Westendorp Price Sensitivity Meter analysis on WTP survey data, or designing Good/Better/Best packaging tiers. Recommends a model and a price range with trade-offs, never a single number. For Commercial leads, Product Marketing, and CMOs at the pricing-design moment — not deal-by-deal discounting, not brand positioning.
testing
Use when a startup is approached by a prospective partner and someone has to decide should we sign this partner, at what partner tier (referral / reseller / OEM / SI-consulting / strategic alliance), with what joint GTM commitment, and at what revshare. Classifies partner tier from independent-demand evidence vs. preferential-terms hunting, designs a 90-day joint GTM plan, models revshare against direct-sale margin, and surfaces kill criteria for unwinding under-performing partnerships. For Head of Partnerships, Head of BD, and Founder-CEOs doing reseller agreement, OEM deal, or strategic alliance review — not technical sale enablement, not channel cost economics, not M&A.