growth-hacking
starsforks
How to install growth-hacking?
nguyenphp/antigravity-marketing/growth-hacking
$npx -y skills add nguyenphp/antigravity-marketing --skill growth-hackingGrowth strategies, viral loops, acquisition funnels, AARRR framework, and rapid experimentation.
SKILL.md
| 1 | # Growth Hacking |
| 2 | |
| 3 | > Systematic approaches to rapid, scalable growth. |
| 4 | |
| 5 | --- |
| 6 | |
| 7 | ## 1. AARRR Pirate Metrics Framework |
| 8 | |
| 9 | | Stage | Focus | Key Metric | |
| 10 | |-------|-------|------------| |
| 11 | | **Acquisition** | Get users | CAC, traffic sources | |
| 12 | | **Activation** | First value | Activation rate | |
| 13 | | **Retention** | Keep users | Churn, DAU/MAU | |
| 14 | | **Revenue** | Make money | ARPU, LTV | |
| 15 | | **Referral** | Spread word | Viral coefficient | |
| 16 | |
| 17 | --- |
| 18 | |
| 19 | ## 2. Acquisition Strategies |
| 20 | |
| 21 | ### Channel Categories |
| 22 | |
| 23 | | Channel | Type | Speed | Cost | |
| 24 | |---------|------|-------|------| |
| 25 | | **SEO** | Organic | Slow | Low | |
| 26 | | **Content** | Organic | Medium | Medium | |
| 27 | | **Social** | Organic/Paid | Fast | Variable | |
| 28 | | **Paid ads** | Paid | Fast | High | |
| 29 | | **Referral** | Viral | Medium | Low | |
| 30 | | **Partnerships** | Leverage | Medium | Medium | |
| 31 | |
| 32 | ### Channel Prioritization (ICE Score) |
| 33 | |
| 34 | | Factor | Score 1-10 | |
| 35 | |--------|------------| |
| 36 | | **Impact** | Potential effect | |
| 37 | | **Confidence** | Likelihood of success | |
| 38 | | **Ease** | Resources needed | |
| 39 | |
| 40 | --- |
| 41 | |
| 42 | ## 3. Activation Tactics |
| 43 | |
| 44 | ### Onboarding Best Practices |
| 45 | |
| 46 | | Tactic | Purpose | |
| 47 | |--------|---------| |
| 48 | | **Progress bar** | Show completion % | |
| 49 | | **Quick wins** | Early success | |
| 50 | | **Personalization** | Relevance | |
| 51 | | **Tooltips** | Guidance | |
| 52 | | **Checklist** | Clear next steps | |
| 53 | |
| 54 | ### Activation Metrics |
| 55 | |
| 56 | | Metric | Calculation | |
| 57 | |--------|-------------| |
| 58 | | **Activation rate** | Users who complete key action / Total signups | |
| 59 | | **Time to value** | Time from signup to first value | |
| 60 | | **Setup completion** | % completing onboarding | |
| 61 | |
| 62 | --- |
| 63 | |
| 64 | ## 4. Retention Strategies |
| 65 | |
| 66 | ### Retention Types |
| 67 | |
| 68 | | Type | Timeframe | Focus | |
| 69 | |------|-----------|-------| |
| 70 | | **Day 1** | 24 hours | First impression | |
| 71 | | **Week 1** | 7 days | Habit formation | |
| 72 | | **Month 1** | 30 days | Core value | |
| 73 | | **Long-term** | 90+ days | Loyalty | |
| 74 | |
| 75 | ### Retention Tactics |
| 76 | |
| 77 | | Tactic | How | |
| 78 | |--------|-----| |
| 79 | | **Email sequences** | Drip campaigns | |
| 80 | | **Push notifications** | Timely reminders | |
| 81 | | **In-app messages** | Contextual help | |
| 82 | | **Feature education** | Show unused features | |
| 83 | | **Rewards** | Gamification | |
| 84 | | **Community** | Build connections | |
| 85 | |
| 86 | ### Retention Metrics |
| 87 | |
| 88 | | Metric | Formula | |
| 89 | |--------|---------| |
| 90 | | **Day N retention** | Active on day N / Total signups day 0 | |
| 91 | | **Cohort retention** | Users still active / Users in cohort | |
| 92 | | **Churn rate** | Lost customers / Total customers | |
| 93 | | **DAU/MAU** | Daily active / Monthly active | |
| 94 | |
| 95 | --- |
| 96 | |
| 97 | ## 5. Viral Loops |
| 98 | |
| 99 | ### Types of Viral Loops |
| 100 | |
| 101 | | Type | Example | K-factor potential | |
| 102 | |------|---------|-------------------| |
| 103 | | **Inherent** | Invite to collaborate | High | |
| 104 | | **Word of mouth** | Product so good | Medium | |
| 105 | | **Incentivized** | Referral rewards | High | |
| 106 | | **Social sharing** | Share content | Medium | |
| 107 | | **Embedded** | "Made with X" | Low-Medium | |
| 108 | |
| 109 | ### Viral Coefficient (K-factor) |
| 110 | |
| 111 | ``` |
| 112 | K = i × c |
| 113 | |
| 114 | Where: |
| 115 | i = invites sent per user |
| 116 | c = conversion rate of invites |
| 117 | ``` |
| 118 | |
| 119 | | K-factor | Result | |
| 120 | |----------|--------| |
| 121 | | K > 1 | Exponential growth | |
| 122 | | K = 1 | Linear growth | |
| 123 | | K < 1 | Declining growth | |
| 124 | |
| 125 | ### Referral Program Structure |
| 126 | |
| 127 | | Element | Best Practice | |
| 128 | |---------|---------------| |
| 129 | | **Incentive** | Two-sided rewards | |
| 130 | | **Friction** | One-click sharing | |
| 131 | | **Visibility** | In-product placement | |
| 132 | | **Tracking** | Unique referral codes | |
| 133 | |
| 134 | --- |
| 135 | |
| 136 | ## 6. Growth Experiments |
| 137 | |
| 138 | ### Hypothesis Template |
| 139 | |
| 140 | ``` |
| 141 | If we [make this change] |
| 142 | Then [this metric] will [increase/decrease] |
| 143 | Because [reasoning] |
| 144 | ``` |
| 145 | |
| 146 | ### Experiment Process |
| 147 | |
| 148 | | Phase | Activities | |
| 149 | |-------|------------| |
| 150 | | **Ideation** | Brainstorm, prioritize (ICE) | |
| 151 | | **Design** | Hypothesis, success metrics | |
| 152 | | **Build** | MVP implementation | |
| 153 | | **Measure** | Track results | |
| 154 | | **Learn** | Document, iterate | |
| 155 | |
| 156 | ### Sample Size Calculator |
| 157 | |
| 158 | | Baseline | Lift | Sample needed | |
| 159 | |----------|------|---------------| |
| 160 | | 2% | 10% | ~78,000 per variant | |
| 161 | | 2% | 25% | ~12,500 per variant | |
| 162 | | 5% | 10% | ~31,000 per variant | |
| 163 | | 5% | 25% | ~5,000 per variant | |
| 164 | |
| 165 | --- |
| 166 | |
| 167 | ## 7. Product-Led Growth (PLG) |
| 168 | |
| 169 | ### PLG Principles |
| 170 | |
| 171 | | Principle | Implementation | |
| 172 | |-----------|----------------| |
| 173 | | **Free tier** | Generous freemium | |
| 174 | | **Self-serve** | No sales needed | |
| 175 | | **Bottom-up** | Individual users first | |
| 176 | | **Virality** | Built-in sharing | |
| 177 | | **Data-driven** | Usage triggers upgrade | |
| 178 | |
| 179 | ### PLG Metrics |
| 180 | |
| 181 | | Metric | Target | |
| 182 | |--------|--------| |
| 183 | | **Free to paid** | 2-5% | |
| 184 | | **Time to paid** | < 30 days | |
| 185 | | **PQL conversion** | 10-20% | |
| 186 | | **Expansion revenue** | > 30% of new revenue | |
| 187 | |
| 188 | --- |
| 189 | |
| 190 | ## 8. Growth Levers |
| 191 | |
| 192 | ### North Star Metric |
| 193 | |
| 194 | | Business Type | North Star | |
| 195 | |---------------|------------| |
| 196 | | **SaaS** | Weekly active users | |
| 197 | | **E-commerce** | Weekly purchases | |
| 198 | | **Marketplace** | Weekly transactions | |
| 199 | | **Media** | Daily active readers | |
| 200 | | **Consumer app** | DAU/MAU ratio | |
| 201 | |
| 202 | ### Input Metrics |
| 203 | |
| 204 | | North Star | Input Metrics | |
| 205 | |------------|---- |
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