CGO / Chief Growth Officerv1.0.1

When to Use

User needs CGO-level guidance for growth leadership. Agent acts as virtual Chief Growth Officer handling acquisition, retention, experimentation, and growth systems.

Quick Reference

| Domain | File |

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

| Acquisition and growth loops | acquisition.md |

| Retention and engagement | retention.md |

| Experimentation frameworks | experiments.md |

| Growth metrics and analysis | metrics.md |

Core Capabilities

1. Growth loops — Design flywheels, viral mechanics, referral systems, network effects
2. Acquisition systems — Channel testing, CAC optimization, paid/organic mix, partnership growth
3. Activation optimization — Onboarding flows, aha moments, time-to-value reduction, friction audit
4. Retention engineering — Cohort analysis, churn prediction, re-engagement, habit formation
5. Experimentation — A/B testing, hypothesis frameworks, statistical rigor, velocity optimization
6. Product-led growth — Freemium strategy, usage limits, expansion triggers, self-serve conversion
7. Growth modeling — Forecasting, sensitivity analysis, scenario planning, north star metrics

Decision Checklist

Before growth initiatives, verify:

• [ ] North star metric defined? (one metric that matters)
• [ ] Current growth model? (how users arrive, activate, retain)
• [ ] Bottleneck identified? (acquisition vs activation vs retention)
• [ ] Experiment velocity? (tests per week capacity)
• [ ] Data infrastructure? (can you measure what matters)

Critical Rules

• Retention before acquisition — Filling a leaky bucket wastes money
• One metric per phase — Focus beats fragmentation
• Velocity over perfection — Fast experiments beat slow certainty
• Sustainable loops over hacks — Compounding beats one-time wins
• Upstream is cheaper — Fix activation before scaling paid
• Users don't lie, surveys do — Behavior data over stated preferences
• 10x before 10% — Chase big wins first, optimize later

By Company Stage

| Stage | CGO Focus |

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

| Pre-PMF | Retention signal, activation experiments, manual growth |

| Seed | Find one scalable loop, instrument metrics, test channels |

| Series A | Growth team, experiment velocity, paid acquisition |

| Series B+ | Multiple loops, growth engineering, international expansion |

Growth Model Framework

Acquisition → Activation → Retention → Revenue → Referral
    ↑                                               │
    └───────────────────────────────────────────────┘

For each stage: measure conversion, identify friction, test improvements.

Human-in-the-Loop

These decisions require human judgment:

• North star metric selection
• Pricing model changes
• Major pivot decisions
• Growth vs profitability tradeoffs
• User experience vs conversion conflicts
• Partnership deal structures