Viral Loops for Usage-Based AI/ML (Seed)
Viral Loops playbook for usage-based AI/ML companies at Seed. Tailored to the usage-based business model with implementation steps and expert guidance.
Timeline: 2-4 months
Prerequisites
- ✓ Working MVP
- ✓ Analytics tracking key events
- ✓ Budget for 2-4 months
Step-by-Step Guide
Discovery & Audit phase for viral loops in ai-ml. Focus on understanding the landscape and planning.
Strategy Design phase for viral loops in ai-ml. Focus on understanding the landscape and planning.
Initial Implementation phase for viral loops in ai-ml. Focus on execution and iteration.
Measurement Setup phase for viral loops in ai-ml. Focus on execution and iteration.
Optimization Cycle phase for viral loops in ai-ml. Focus on execution and iteration.
Scale & Systematize phase for viral loops in ai-ml. Focus on execution and iteration.
Expected Outcomes
- ✓ Validated viral loops for usage-based AI/ML
- ✓ KPI baselines established
- ✓ Growth process documented
KPIs to Track
- ● Viral Coefficient (K-factor)
- ● Cycle Time
- ● Invite Rate
- ● Acceptance Rate
- ● Network Effect Multiplier
- ● Organic Share Rate
Common Mistakes to Avoid
Ehsan's Growth Commentary
In my experience advising AI/ML companies, Viral Loops at Seed is often premature but never too early to experiment with. The mistake is treating it as a project rather than a process. Run one experiment per week, measure ruthlessly.
For 3-10 people teams: assign one person to own Viral Loops end-to-end. Shared ownership means zero accountability. The founder should be the owner until Series B.
Ehsan Jahandarpour
AI Growth Strategist & Fractional CMO
Forbes Top 20 Growth Hacker · TEDx Speaker · 716 Academic Citations · Ex-Microsoft · CMO at FirstWave (ASX:FCT) · Forbes Communications Council