Growth & Analytics
Work through product growth metrics, from acquisition costs to retention
intermediate
Suggested pace: 4 weeks
7 articles
What You'll Learn
- Understand and calculate key SaaS metrics
- Build data-driven growth strategies
- Optimize conversion funnels
- Analyze cohort retention patterns
Prerequisites
- • Basic understanding of product metrics
- • Familiarity with spreadsheets
Growth & Analytics Track
Use this track to work through the numbers behind product growth. It covers acquisition costs, recurring revenue, retention, conversion, and engagement, with calculators you can use as you read.
What you'll learn
You'll work with these metrics and methods:
- MRR/ARR Fundamentals: Understanding recurring revenue and growth rates
- Unit Economics: CAC, LTV, and their role in assessing customer economics
- Retention Analytics: Cohort analysis and churn reduction strategies
- Conversion Optimization: Funnel analysis and A/B testing
- Engagement Metrics: DAU/MAU ratios and patterns of repeat use
Suggested schedule
The suggested four-week schedule starts with definitions, then moves into calculations and their use in product decisions:
- Foundation (Week 1): Core metrics and definitions
- Analysis (Week 2): Deep dives into calculation methods
- Application (Week 3): Real-world case studies and examples
- Optimization (Week 4): Advanced strategies and techniques
Calculators to try
Throughout this track, you'll use our suite of calculators to practice:
- MRR/ARR Calculator
- CAC Calculator
- LTV Calculator
- Retention Analytics
- Conversion Rate Calculator
Prerequisites
Before starting this track, you should:
- Have basic familiarity with product metrics
- Understand fundamental business concepts
- Be comfortable with basic math and percentages
Time commitment
- Total Duration: 4 weeks
- Weekly Time: 3-4 hours
- Format: Self-paced with checkpoints
Start with the recurring revenue guide, then use the calculators to work through your own numbers.