Marketing Demand Acquisition Skill for Claude

Marketing Demand & Acquisition

Acquisition playbook for Series A+ startups scaling internationally (EU/US/Canada) with hybrid PLG/Sales-Led motion.

Table of Contents

• Role Coverage
• Core KPIs
• Demand Generation Framework
• Paid Media Channels
• SEO Strategy
• Partnerships
• Attribution
• Tools
• References

Role Coverage

| Role | Focus Areas |

|------|-------------|

| Demand Generation Manager | Multi-channel campaigns, pipeline generation |

| Paid Media Marketer | Paid search/social/display optimization |

| SEO Manager | Organic acquisition, technical SEO |

| Partnerships Manager | Co-marketing, channel partnerships |

Core KPIs

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

Demand Generation Framework

Funnel Stages

| 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 $ |

Campaign Planning Workflow

• Define objective, budget, duration, audience
• Select channels based on funnel stage
• Create campaign in HubSpot with proper UTM structure
• Configure lead scoring and assignment rules
• Launch with test budget, validate tracking
• Validation: UTM parameters appear in HubSpot contact records

UTM Structure

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]

Paid Media Channels

Channel Selection Matrix

| 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 |

LinkedIn Ads Setup

• Create campaign group for initiative
• Structure: Awareness → Consideration → Conversion campaigns
• Target: Director+, 50-5000 employees, relevant industries
• Start $50/day per campaign
• Scale 20% weekly if CAC < target
• Validation: LinkedIn Insight Tag firing on all pages

Google Ads Setup

• Prioritize: Brand → Competitor → Solution → Category keywords
• Structure ad groups with 5-10 tightly themed keywords
• Create 3 responsive search ads per ad group (15 headlines, 4 descriptions)
• Maintain negative keyword list (100+)
• Start Manual CPC, switch to Target CPA after 50+ conversions
• Validation: Conversion tracking firing, search terms reviewed weekly

Budget Allocation (Series A, $40k/month)

| 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.

SEO Strategy

Technical Foundation Checklist

• [ ] XML sitemap submitted to Search Console
• [ ] Robots.txt configured correctly
• [ ] HTTPS enabled
• [ ] Page speed >90 mobile
• [ ] Core Web Vitals passing
• [ ] Structured data implemented
• [ ] Canonical tags on all pages
• [ ] Hreflang tags for international
• Validation: Run Screaming Frog crawl, zero critical errors

Keyword Strategy

| 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 |

On-Page Optimization

• URL: Include primary keyword, 3-5 words
• Title tag: Primary keyword + brand (60 chars)
• Meta description: CTA + value prop (155 chars)
• H1: Match search intent (one per page)
• Content: 2000-3000 words for comprehensive topics
• Internal links: 3-5 relevant pages
• Validation: Google Search Console shows page indexed, no errors

Link Building Priorities

• Digital PR (original research, industry reports)
• Guest posting (DA 40+ sites only)
• Partner co-marketing (complementary SaaS)
• Community engagement (Reddit, Quora)

Partnerships

Partnership Tiers

| 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 |

Partnership Workflow

• Identify partners with overlapping ICP, no competition
• Outreach with specific integration/co-marketing proposal
• Define success metrics, revenue model, term
• Create co-branded assets and partner tracking
• Enable partner sales team with demo training
• Validation: Partner UTM tracking functional, leads routing correctly

Affiliate Program Setup

• Select platform (PartnerStack, Impact, Rewardful)
• Configure commission structure (20-30% recurring)
• Create affiliate enablement kit (assets, links, content)
• Recruit through outbound, inbound, events
• Validation: Test affiliate link tracks through to conversion

See international-playbooks.md for regional tactics.

Attribution

Model Selection

| Model | Use Case |

|-------|----------|

| First-Touch | Awareness campaigns |

| Last-Touch | Direct response |

| W-Shaped (40-20-40) | Hybrid PLG/Sales (recommended) |

HubSpot Attribution Setup

• Navigate to Marketing → Reports → Attribution
• Select W-Shaped model for hybrid motion
• Define conversion event (deal created)
• Set 90-day lookback window
• Validation: Run report for past 90 days, all channels show data

Weekly Metrics Dashboard

| 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.

Tools

scripts/

| Script | Purpose | Usage |

|--------|---------|-------|

| calculate_cac.py | Calculate blended and channel CAC | python scripts/calculate_cac.py --spend 40000 --customers 50 |

HubSpot Integration

• Campaign tracking with UTM parameters
• Lead scoring and MQL/SQL workflows
• Attribution reporting (multi-touch)
• Partner lead routing

See hubspot-workflows.md for workflow templates.

References

| 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 |

Channel Benchmarks (B2B SaaS Series A)

| 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% |

MQL→SQL Handoff

SQL Criteria

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

SLA

| 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.

Proactive Triggers

• Over-relying on one channel -- Single-channel dependency is a business risk. Diversify acquisition across 3+ channels.
• No lead scoring -- Not all leads are equal. Route to revenue-operations for scoring setup.
• CAC exceeding LTV -- Demand gen is unprofitable. Optimize or cut underperforming channels.
• No nurture for non-ready leads -- 80% of leads aren't ready to buy. Nurture sequences convert them later.

Related Skills

• campaign-analytics: For measuring demand gen effectiveness with attribution and ROI.
• marketing-strategy-pmm: For positioning and GTM strategy that feeds demand gen campaigns.
• social-media-analyzer: For analyzing social channel performance within demand gen mix.
• revenue-operations: For pipeline analysis and forecast accuracy downstream of demand gen.

Troubleshooting

| Problem | Likely Cause | Solution |

|---------|-------------|----------|

| CAC exceeding LTV ratio (below 3:1) | Over-spending on high-cost channels without sufficient conversion optimization | Audit channel-specific CAC against benchmarks. Cut or pause channels with CAC >$400 for B2B SaaS. Shift budget toward lower-CAC channels (SEO, email, organic social). A 3:1 LTV:CAC ratio is the minimum for sustainability; below 2:1 indicates immediate problems |

| LinkedIn Ads delivering low CTR (<0.4%) | Audience too broad, creative fatigue, or wrong ad format | Narrow targeting to Director+ titles at 50-5,000 employee companies. Refresh creative every 2-3 weeks. Test Thought Leader Ads before scaling standard formats -- they deliver 10-20% CTR at premium CPMs, which frequently beats standard LinkedIn ads' 0.5-1% rates |

| Google Ads CPA rising above target | Insufficient conversion data for automated bidding, or keyword competition increasing | Stay on Manual CPC until you have 50+ conversions, then switch to Target CPA. Google Ads CPC increased 164% from 2019-2024. Expand negative keyword list (maintain 100+). Focus on long-tail, high-intent keywords to reduce competition |

| MQL-to-SQL conversion rate below 15% | Lead scoring too loose, or MQL criteria not aligned with sales expectations | Tighten MQL scoring criteria. Require minimum engagement score (demo request or equivalent high-intent action). Align with sales on SQL criteria: Director+ title, 50-5,000 employees, $10k+ budget, buying within 90 days |

| UTM parameters not appearing in HubSpot contact records | Tracking script not firing, form stripping UTM values, or redirect losing parameters | Verify HubSpot tracking code is on all pages. Ensure forms pass hidden UTM fields. Test by clicking a UTM-tagged link and checking the contact record. Use server-side UTM capture if client-side tracking is blocked by privacy tools |

| Partner channel not generating pipeline | Partner enablement insufficient, or wrong partner tier selection | Ensure partners have completed demo training and have access to co-branded assets. Focus on Tier 1 strategic integration partners (high effort, very high ROI) before scaling to Tier 2 affiliates. Set clear success metrics and revenue model before launch |

| Single-channel dependency risk | Over 50% of pipeline from one channel | Diversify acquisition across 3+ channels immediately. Recommended 2026 allocation: AI-enhanced paid search 28-33%, omnichannel social 22-28%, content + experience marketing 20-25%. No single channel should exceed 40% of total pipeline |

Success Criteria

• Blended CAC: Target <$300 for B2B SaaS Series A (2026 benchmark). Channel-specific targets: LinkedIn $150-400, Google Search $80-250, SEO/Organic $50-150, Email $20-80. Average B2B SaaS CAC reached $1,200 in 2026 for all segments; self-serve targets $100-500 while enterprise can reach $5,000+
• CAC Payback Period: Achieve payback within 6-12 months (2026 median). Elite performers reach payback in under 80 days. Payback exceeding 18 months signals unsustainable unit economics
• LTV:CAC Ratio: Maintain minimum 3:1 ratio. Below 2:1 requires immediate intervention. Top-quartile SaaS companies spend $1.10 or less to acquire $1 of new ARR; median spends $2 per $1 ARR
• MQL-to-SQL Conversion: Target 15-25% for Google Search, 12-22% for SEO, 10-20% for LinkedIn, 8-15% for email. Overall blended target >15%
• Pipeline Velocity: Close marketing-sourced deals within 60 days average. SDR response to MQL within 4 hours, AE demo booking within 24 hours, first demo within 3 business days
• Channel Diversification: No single channel should represent more than 40% of pipeline. Maintain active campaigns across minimum 3 channels. LinkedIn generates highest quality B2B leads (40% of marketers cite it as most effective)
• Marketing Budget Efficiency: SaaS companies under $10M ARR should spend 20-35% of revenue on marketing; $10-50M spend 18-25%; $50-100M spend 15-20%. For 2026, allocate 18-28% of revenue total with clear channel allocation ratios

Scope & Limitations

In Scope:

• Multi-channel demand generation strategy for B2B SaaS (Series A+) with hybrid PLG/sales-led motion
• Paid media channel selection, budget allocation, and CAC calculation (LinkedIn, Google Search, Google Display, Meta)
• SEO strategy including technical foundation, keyword strategy, on-page optimization, and link building priorities
• Partnership program planning (strategic integrations, affiliates, referrals, marketplace listings)
• Attribution model selection (first-touch, last-touch, W-shaped) with HubSpot integration guidance
• UTM structure standards and campaign tracking
• MQL/SQL criteria definition and handoff SLA

Out of Scope:

• Campaign creative design (ad copy, images, video production)
• Platform-specific campaign management UI guidance (use LinkedIn Campaign Manager, Google Ads, Meta Ads Manager directly)
• Product-led growth (PLG) product instrumentation (freemium flows, in-app upgrade prompts)
• Sales process optimization beyond MQL-to-SQL handoff (see revenue-operations or sales-success skills)
• Advanced predictive analytics or ML-based lead scoring
• International regulatory compliance for advertising (GDPR consent, CCPA disclosures)
• Brand marketing and awareness campaigns without direct pipeline attribution

Market Context (2026):

• CAC is rising 40-60% since 2023 across B2B SaaS
• Google Ads CPC increased 164% from 2019-2024; LinkedIn costs up 89%
• Privacy regulations and cookie deprecation are reducing attribution accuracy
• AI-enhanced bidding strategies (Google Performance Max, LinkedIn Maximize Conversions) are becoming standard

Integration Points

| Integration | Purpose | How to Connect |

|-------------|---------|----------------|

| HubSpot CRM | Campaign tracking, lead scoring, MQL/SQL workflows, attribution reporting | Create campaigns with UTM structure (utm_source={channel}, utm_medium={type}, utm_campaign={campaign-id}). Configure W-shaped (40-20-40) attribution model. Set 90-day lookback window. Validate with weekly metrics dashboard |

| Google Ads | Paid search campaign management | Structure: Brand > Competitor > Solution > Category keywords. 3 responsive search ads per ad group (15 headlines, 4 descriptions). Start Manual CPC, switch to Target CPA after 50+ conversions. Weekly search term review |

| LinkedIn Campaign Manager | B2B paid social campaigns | Structure: Awareness > Consideration > Conversion campaigns. Target Director+, 50-5,000 employees. Start $50/day per campaign. Scale 20% weekly if CAC < target. Verify LinkedIn Insight Tag on all pages. Test Thought Leader Ads for higher CTR |

| Google Search Console | SEO performance tracking | Monitor indexing, Core Web Vitals, keyword positions. Target page speed >90 mobile. Submit XML sitemap. Track non-brand traffic percentage as key SEO health metric |

| campaign-analytics skill | Attribution modeling and ROI calculation | Export HubSpot journey data as JSON for attribution_analyzer.py. Use campaign_roi_calculator.py for cross-channel ROI comparison. Feed funnel data into funnel_analyzer.py for bottleneck detection |

| social-media-analyzer skill | Social channel performance within demand gen mix | Analyze paid social campaign performance with calculate_metrics.py. Compare social channel CAC against other acquisition channels |

| Partner Platforms (PartnerStack, Impact, Rewardful) | Affiliate and partner program management | Configure 20-30% recurring commission. Create affiliate enablement kit. Set up partner UTM tracking. Test affiliate link tracking through to conversion |

Tool Reference

calculate_cac.py

Type: CLI script (runs with example data or edit inline)

Usage:

python calculate_cac.py

Note: This script uses hardcoded example data. To analyze your own data, edit the example_data list in the script with your channel-specific spend and customer counts.

Input Format (edit in script):

example_data = [
    {'channel': 'LinkedIn Ads', 'spend': 15000, 'customers': 10},
    {'channel': 'Google Search', 'spend': 12000, 'customers': 20},
    {'channel': 'SEO/Organic', 'spend': 5000, 'customers': 15},
    {'channel': 'Partnerships', 'spend': 3000, 'customers': 5},
]

Functions:

| Function | Parameters | Returns |

|----------|-----------|---------|

| calculate_cac() | total_spend: float, customers_acquired: int | Basic CAC as float. Returns 0.0 if customers is 0 |

| calculate_channel_cac() | channel_data: List[Dict] (each dict: channel, spend, customers) | Dict with per-channel breakdown (spend, customers, cac) plus blended key with total_spend, total_customers, blended_cac |

| print_results() | results: Dict | Prints formatted table to stdout with per-channel and blended CAC |

Built-in Benchmarks (printed at end of output):

• LinkedIn Ads: $150-$400
• Google Search: $80-$250
• SEO/Organic: $50-$150
• Partnerships: $100-$300
• Blended Target: <$300

2026 Context: These benchmarks reflect Series A B2B SaaS. Overall B2B SaaS CAC has risen to $1,200 average across all segments (up 40-60% since 2023). Self-serve models target $100-500; enterprise segments can exceed $5,000. The median SaaS company spends $2 to acquire $1 of new ARR.