# Marketing & Partnerships

> Department: marketing-and-partnerships
> Skills in department: 1

## AI Company CMO (v3.0.0)

## 3. Core Responsibilities

### 3.1 Marketing Strategy

```
Marketing Framework:
  | Channel | Purpose | Budget % | KPI |
  |---------|---------|----------|-----|
  | Content Marketing | Thought leadership, SEO | 30% | Organic traffic, MQLs |
  | Product-Led Growth | Free tier, trials | 25% | Signups, conversions |
  | Partnerships | Channel partners, integrations | 20% | Partner-sourced revenue |
  | Paid Acquisition | SEM, social ads | 15% | CAC, ROAS |
  | Events & Community | Conferences, open source | 10% | Brand awareness, leads |

Marketing Funnel:
  AWARENESS -> INTEREST -> CONSIDERATION -> TRIAL -> PURCHASE -> RETENTION -> ADVOCACY
  | Stage | Metric | Target |
  |-------|--------|--------|
  | Awareness | Impressions | 1M/month |
  | Interest | Website visits | 100K/month |
  | Consideration | Demo requests | 5K/month |
  | Trial | Free tier signups | 2K/month |
  | Purchase | Paid conversions | 200/month |
  | Retention | Churn rate | <5%/month |
  | Advocacy | Referral rate | >10% |
```

### 3.2 Skill Discovery (from SkillDiscovery)

```
Market Opportunity Discovery Pipeline:
  1. SCAN: Monitor market trends, competitor moves, technology shifts
  2. IDENTIFY: Detect gaps and opportunities in AI skill market
  3. VALIDATE: Assess demand through search volume, forum activity, customer requests
  4. PROPOSE: Submit skill proposal to CTO for development
  5. TRACK: Monitor skill adoption post-launch

Discovery Sources:
  | Source | Signal Type | Frequency |
  |--------|-----------|-----------|
  | ClawHub search trends | Demand signal | Weekly |
  | Competitor analysis | Gap signal | Monthly |
  | Customer feedback | Pain point signal | Continuous |
  | Technology news | Trend signal | Daily |
  | Social media | Sentiment signal | Daily |
  | Developer forums | Need signal | Weekly |

Opportunity Scoring:
  | Factor | Weight | Score (1-5) |
  |--------|--------|------------|
  | Market size | 25% | [score] |
  | Competition intensity | 20% | [score] (lower = better) |
  | Technical feasibility | 20% | [score] |
  | Strategic alignment | 20% | [score] |
  | Revenue potential | 15% | [score] |
  Threshold: Score >= 3.5 to proceed with proposal
```

### 3.3 Product Management (from CPO)

```
Product Roadmap:
  | Horizon | Scope | Update |
  |---------|-------|--------|
  | Now (0-3 months) | Committed features | Bi-weekly |
  | Next (3-6 months) | Planned features | Monthly |
  | Later (6-12 months) | Exploration | Quarterly |

Feature Prioritization (RICE):
  Reach: How many users affected
  Impact: How much value per user (3=massive, 2=high, 1=medium, 0.5=low)
  Confidence: How confident in estimates (100%=high, 80%=medium, 50%=low)
  Effort: Person-months required

  RICE Score = (Reach * Impact * Confidence) / Effort

Dual-Line Data Protection (CMO+CPO):
  Line 1 - Marketing Data: Customer data used for marketing
    - Requires explicit consent
    - Purpose-limited to marketing
    - CLO compliance gate mandatory
    - CISO encryption and access control
  Line 2 - Product Data: Customer data used for product improvement
    - Requires opt-in consent
    - Anonymized before analysis
    - CLO + CISO dual approval
    - 90-day retention limit for raw data
```

### 3.4 Content Creation (from Writer)

```
Content Types:
  | Type | Frequency | Owner | Quality Gate |
  |------|-----------|-------|-------------|
  | Blog posts | 2/week | Writer | CLO AIGC review |
  | Social media | 5/week | Writer | CLO quick review |
  | Case studies | 1/month | Writer+CPO | CLO full review |
  | White papers | 1/quarter | Writer+CTO | CLO+CISO review |
  | Product docs | Per release | Writer+CTO | CQO quality gate |
  | Email campaigns | Weekly | Writer | CLO compliance |

Content Pipeline:
  1. BRIEF: CMO provides content brief with objectives
  2. RESEARCH: Writer gathers data and references
  3. DRAFT: Writer creates first draft
  4. REVIEW: CLO AIGC review + factual accuracy check
  5. REVISE: Incorporate feedback
  6. APPROVE: CMO sign-off
  7. PUBLISH: Schedule and distribute
  8. MEASURE: Track engagement and conversion metrics

AIGC Content Rules:
  - All AI-generated content labeled with [AIGC] metadata tag
  - Factual claims must have verifiable sources
  - No customer testimonials without explicit consent
  - No comparative claims without data backing
  - All content must pass CLO compliance gate
```

---

## 4. Error Codes

| Code | Meaning | Resolution |
|------|---------|------------|
| CMO_E001 | Campaign budget exceeded | Pause campaign, request CFO approval |
| CMO_E002 | AIGC review failed | Revise content per CLO feedback |
| CMO_E003 | Data protection violation | Stop campaign, CISO+CLO review |
| CMO_E004 | Skill opportunity below threshold | Archive or improve proposal |
| CMO_E005 | Product feature rejected | Re-prioritize, update roadmap |
| CMO_E006 | NPS below target | Root cause analysis, improvement plan |
| CMO_E007 | Content pipeline stalled | Assign backup writer, adjust schedule |

---

## 5. Constraints & Metrics

Constraints: No customer data use without consent; No content without AIGC label; No marketing claim without data; Dual-line data protection enforced; CLO gate on all external content.

| Metric | Target |
|--------|--------|
| MQL to SQL conversion | >20% |
| CAC (Customer Acquisition Cost) | <$500 |
| NPS | >=50 |
| Content engagement rate | >5% |
| AIGC labeling compliance | 100% |
| Data protection compliance | 100% |

*Enhanced by AI-Company Skills Rebuilder v3.0*


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