# Growth Hacking Strategies Worksheet

## Overview
Growth hacking focuses on rapid experimentation across marketing channels and product development to identify the most efficient ways to grow a business. This worksheet helps you systematically approach growth through data-driven experimentation.

## Current State Analysis

### Key Metrics Baseline
**Acquisition Metrics:**
- Monthly Active Users (MAU): _____________
- New User Acquisition Rate: _____________
- Customer Acquisition Cost (CAC): $_____________
- Organic vs Paid Split: _____% / _____%

**Activation Metrics:**
- Sign-up to Active Rate: _____%
- Time to First Value: _____ minutes/hours/days
- Onboarding Completion: _____%
- Feature Adoption Rate: _____%

**Retention Metrics:**
- Day 1/7/30 Retention: ____% / ____% / ____%
- Monthly Churn Rate: _____%
- Customer Lifetime Value (CLV): $_____________
- CLV:CAC Ratio: _____:1

**Revenue Metrics:**
- Average Revenue Per User (ARPU): $_____________
- Conversion to Paid: _____%
- Monthly Recurring Revenue (MRR): $_____________
- MRR Growth Rate: _____%

**Referral Metrics:**
- Viral Coefficient (K-factor): _____
- Referral Program Participation: _____%
- Share Rate: _____%
- Net Promoter Score (NPS): _____

## Growth Model Analysis

### AARRR Framework Assessment
Rate each area (1-10) and identify bottlenecks:

| Stage | Current Performance | Bottleneck? | Primary Metric |
|-------|-------------------|-------------|----------------|
| Acquisition | /10 | Yes/No | |
| Activation | /10 | Yes/No | |
| Retention | /10 | Yes/No | |
| Revenue | /10 | Yes/No | |
| Referral | /10 | Yes/No | |

**Primary Bottleneck:** _________________________
**Secondary Bottleneck:** _________________________

### Growth Equation
**Your Growth Formula:**
Growth = (New Users × Activation Rate × Retention Rate × Monetization Rate) × (1 + Viral Coefficient)

Current Values:
- New Users/Month: _____
- Activation Rate: _____%
- Retention Rate: _____%
- Monetization Rate: _____%
- Viral Coefficient: _____

**Monthly Growth Rate:** _____%

## Acquisition Strategies

### Channel Analysis
| Channel | Current CAC | Conversion Rate | Monthly Volume | Scalability | Priority |
|---------|-------------|-----------------|----------------|-------------|----------|
| SEO | $ | % | | High/Med/Low | |
| SEM | $ | % | | High/Med/Low | |
| Social Media | $ | % | | High/Med/Low | |
| Content Marketing | $ | % | | High/Med/Low | |
| Email | $ | % | | High/Med/Low | |
| Partnerships | $ | % | | High/Med/Low | |
| Referrals | $ | % | | High/Med/Low | |

### Acquisition Experiments
**Experiment 1:**
- Hypothesis: _________________________
- Channel: _________________________
- Test Duration: _____days
- Success Metric: _________________________
- Budget: $_____

**Experiment 2:**
- Hypothesis: _________________________
- Channel: _________________________
- Test Duration: _____days
- Success Metric: _________________________
- Budget: $_____

## Activation Optimization

### First User Experience Analysis
**Current Onboarding Flow:**
1. Step: _____________ → Drop-off: ____%
2. Step: _____________ → Drop-off: ____%
3. Step: _____________ → Drop-off: ____%
4. Step: _____________ → Drop-off: ____%

**Time to "Aha!" Moment:** _____________

### Activation Experiments
**A/B Tests to Run:**
- [ ] Simplified sign-up flow
- [ ] Personalized onboarding
- [ ] Interactive product tour
- [ ] Quick win features
- [ ] Social proof integration
- [ ] Progress indicators

**Highest Impact Test:**
_________________________________________________________________

## Retention Strategies

### Cohort Analysis
| Cohort | Day 1 | Day 7 | Day 30 | Day 90 | Day 180 |
|--------|-------|-------|--------|--------|---------|
| Month 1 | % | % | % | % | % |
| Month 2 | % | % | % | % | % |
| Month 3 | % | % | % | % | % |

### Retention Drivers
**Engagement Hooks:**
- [ ] Daily active use trigger: _________________________
- [ ] Habit formation mechanism: _________________________
- [ ] Re-engagement campaigns: _________________________
- [ ] Product stickiness features: _________________________

**Retention Experiments:**
1. _________________________________________________________________
2. _________________________________________________________________
3. _________________________________________________________________

## Revenue Optimization

### Pricing Strategy
**Current Pricing Model:**
- [ ] Freemium
- [ ] Free trial
- [ ] Pay-per-use
- [ ] Subscription
- [ ] One-time purchase

**Pricing Experiments:**
- [ ] Price point testing
- [ ] Packaging optimization
- [ ] Urgency/scarcity tactics
- [ ] Upsell/cross-sell flows
- [ ] Annual vs monthly pricing

### Monetization Funnel
| Stage | Current Rate | Benchmark | Improvement Potential |
|-------|--------------|-----------|---------------------|
| Free → Trial | % | % | % |
| Trial → Paid | % | % | % |
| Paid → Upgraded | % | % | % |

## Referral/Viral Mechanisms

### Viral Loop Design
**Current Viral Coefficient Calculation:**
- Average invites sent per user: _____
- Invite acceptance rate: _____%
- K-factor = _____ × _____% = _____

**Viral Mechanics:**
- [ ] In-product sharing
- [ ] Incentivized referrals
- [ ] Network effects
- [ ] User-generated content
- [ ] Collaborative features

### Referral Program Design
**Incentive Structure:**
- Referrer reward: _________________________
- Referee reward: _________________________
- Double-sided value: _________________________

**Program Mechanics:**
- Sharing mechanism: _________________________
- Tracking method: _________________________
- Reward delivery: _________________________

## Growth Experiment Pipeline

### Experiment Backlog
| Experiment | Hypothesis | Impact | Effort | ICE Score | Status |
|------------|------------|--------|--------|-----------|--------|
| | | H/M/L | H/M/L | | Planned |
| | | H/M/L | H/M/L | | Planned |
| | | H/M/L | H/M/L | | Planned |

*ICE Score = Impact × Confidence × Ease (each rated 1-10)

### Current Experiments
**Running This Week:**
1. Test: _________________________
   Metric: _________________________
   Target: _____% improvement

2. Test: _________________________
   Metric: _________________________
   Target: _____% improvement

### Experiment Results Log
| Date | Experiment | Result | Learning | Next Step |
|------|------------|--------|----------|-----------|
| | | Win/Loss | | |
| | | Win/Loss | | |
| | | Win/Loss | | |

## Growth Team Structure

### Roles & Responsibilities
- [ ] Growth Lead: _________________________
- [ ] Product Manager: _________________________
- [ ] Engineer: _________________________
- [ ] Designer: _________________________
- [ ] Data Analyst: _________________________
- [ ] Marketer: _________________________

### Weekly Growth Meeting
**Agenda:**
1. Metrics review (10 min)
2. Experiment results (15 min)
3. New hypotheses (15 min)
4. Prioritization (10 min)
5. Action items (10 min)

## Tools & Infrastructure

### Growth Stack
**Analytics:**
- [ ] Web analytics: _________________________
- [ ] Product analytics: _________________________
- [ ] A/B testing platform: _________________________
- [ ] Attribution tool: _________________________

**Marketing Tools:**
- [ ] Email automation: _________________________
- [ ] Push notifications: _________________________
- [ ] In-app messaging: _________________________
- [ ] Social media tools: _________________________

**Data Infrastructure:**
- [ ] Data warehouse: _________________________
- [ ] ETL pipeline: _________________________
- [ ] Dashboards: _________________________
- [ ] Alerting system: _________________________

## 90-Day Growth Plan

### Month 1: Foundation
**Week 1-2:**
- [ ] Set up tracking infrastructure
- [ ] Baseline all key metrics
- [ ] Identify biggest bottleneck

**Week 3-4:**
- [ ] Launch 3 quick experiments
- [ ] Build experiment pipeline
- [ ] Establish weekly rhythm

### Month 2: Acceleration
**Week 5-6:**
- [ ] Double down on winning experiments
- [ ] Launch referral program
- [ ] Optimize onboarding flow

**Week 7-8:**
- [ ] Test new acquisition channels
- [ ] Implement retention hooks
- [ ] A/B test pricing

### Month 3: Scale
**Week 9-10:**
- [ ] Scale winning channels
- [ ] Automate growth processes
- [ ] Build viral features

**Week 11-12:**
- [ ] Optimize full funnel
- [ ] Plan next quarter
- [ ] Document playbook

## Success Metrics

### North Star Metric
**Metric:** _________________________
**Current Value:** _____
**90-Day Target:** _____
**Required Weekly Growth:** _____%

### Supporting Metrics
1. _________________________: Target _____
2. _________________________: Target _____
3. _________________________: Target _____

## Example Application

**Company:** B2B SaaS Startup
**Challenge:** 5% monthly growth, high CAC

**Growth Hacks Implemented:**
1. **Freemium model** → 300% increase in sign-ups
2. **In-app referrals** → K-factor from 0.2 to 0.7
3. **Onboarding optimization** → Activation from 15% to 40%
4. **Content marketing** → CAC reduced by 60%

**Result:** Monthly growth increased from 5% to 25% in 90 days

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*Date Completed:* _____________
*Completed By:* _____________
*Next Review Date:* _____________