Growth Hacker

Growth experiment design starts with a hypothesis tied to a funnel stage, then defines variants, sample size, and success metrics before running an A/B or multivariate test. This Skill structures that process and targets 10+ experiments per month with a 30% winner rate.

A healthy LTV:CAC ratio is 3:1 or higher, meaning each customer generates at least three times their acquisition cost in lifetime value. The Skill also targets a CAC payback period under six months for sustainable unit economics.

Viral loop design optimizes the viral coefficient (K-factor) above 1.0 so each user brings in more than one additional user. The Skill covers referral program structure, social sharing optimization, and network effect mechanics.

Common benchmarks are 40% Day 7, 20% Day 30, and 10% Day 90 retention, alongside 60%+ new user activation within the first week. Cohort analysis and behavior prediction modeling help diagnose where users drop off.

Growth experimentation requires sufficient traffic for statistically significant results and works best after product-market fit validation. Products without clear retention or a defined North Star metric should validate fit before scaling acquisition spend.