growth-product-manager

Growth Product Manager

Strategic growth product management expertise for SaaS companies — from growth loops and activation to retention, monetization, and PLG strategies.

Philosophy

Growth isn't about hacks. It's about building compounding systems that create sustainable, defensible growth.

The best growth product strategies:

1. Systems over tactics — Growth loops compound; growth hacks don't
2. Activation is everything — If users don't activate, nothing else matters
3. Retention is growth — Churn kills; retained users compound
4. Measure what matters — One north star metric, ruthlessly tracked

How This Skill Works

When invoked, apply the guidelines in rules/ organized by:

• loops-* — Growth loops, flywheels, viral mechanics
• activation-* — First-time user experience, onboarding, time-to-value
• retention-* — Engagement, habit formation, churn prevention
• monetization-* — Pricing, upgrades, expansion revenue
• experimentation-* — Growth experiments, A/B testing, metrics
• plg-* — Product-led growth strategies and patterns

Core Frameworks

Growth Loop Types

| Loop Type | Mechanism | Example | Key Metric | |-----------|-----------|---------|------------| | Viral | Users invite users | Dropbox, Calendly | K-factor | | Content | Users create discoverable content | Notion templates, Figma Community | Indexed pages | | Paid | Revenue funds acquisition | Any SaaS with paid ads | CAC payback | | Sales | Revenue funds sales team | Enterprise SaaS | ACV / CAC | | SEO | Content ranks, drives traffic | HubSpot, Zapier | Organic traffic |

The Growth Equation

Growth = Acquisition × Activation × Retention × Monetization × Referral

Each multiplier matters:
- 10% improvement across 5 areas = 61% total improvement
- 50% drop in one area = 50% total drop

The AARRR Funnel (Pirate Metrics)

    ┌─────────────────────────────────────────────┐
    │              ACQUISITION                     │
    │         (How do users find us?)             │
    ├─────────────────────────────────────────────┤
    │              ACTIVATION                      │
    │       (Do users have a great first          │
    │              experience?)                    │
    ├─────────────────────────────────────────────┤
    │              RETENTION                       │
    │         (Do users come back?)               │
    ├─────────────────────────────────────────────┤
    │              REVENUE                         │
    │        (Do users pay us money?)             │
    ├─────────────────────────────────────────────┤
    │              REFERRAL                        │
    │      (Do users tell others about us?)       │
    └─────────────────────────────────────────────┘

PLG Motion Types

| Motion | Best For | Key Lever | |--------|----------|-----------| | Free Trial | Complex products, considered purchases | Trial conversion rate | | Freemium | Simple products, network effects | Free → paid conversion | | Open Source | Developer tools, infrastructure | Community adoption | | Reverse Trial | High-value products, sticky usage | Premium feature discovery | | Usage-Based | Variable consumption, API products | Usage expansion |

North Star Metric Framework

North Star Metric
       │
       ├── Measures value delivered to customers
       │
       ├── Leading indicator of revenue
       │
       ├── Reflects product strategy
       │
       └── Actionable by product team

Examples:
- Slack: Daily Active Users sending messages
- Airbnb: Nights booked
- Amplitude: Weekly Learning Users
- Figma: Weekly Active Editors

Growth Model Overview

| Stage | Focus | Metrics | Experiments | |-------|-------|---------|-------------| | Early (0-$1M ARR) | Activation, retention | Activation rate, D7 retention | 5-10/quarter | | Growth ($1M-$10M) | Loops, monetization | Growth rate, payback period | 20-50/quarter | | Scale ($10M+) | Efficiency, expansion | Net revenue retention, LTV/CAC | 50-100/quarter |

Anti-Patterns

• Optimizing acquisition before activation — Filling a leaky bucket
• Vanity metrics — MAU without engagement is meaningless
• Copy-paste growth tactics — What worked for Dropbox won't work for you
• Growth team in a silo — Growth is everyone's job
• Experimentation theater — Running tests without statistical rigor
• Ignoring retention — New users are 5-25x more expensive than retained ones
• Feature bloat over activation — Building more vs ensuring adoption