Viral Loops Playbook for AI/ML (Series B Stage)
Step-by-step viral loops playbook for AI/ML companies at Series B. Team: 30-80 people, budget: $1.5-5M. Implementation steps, KPIs, and expert guidance.
Timeline: 1-2 months
Prerequisites
- ✓ Product-market fit
- ✓ Analytics infrastructure
- ✓ Team capacity for 1-2 months execution
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 as channel for AI/ML
- ✓ Baseline KPIs established
- ✓ Repeatable process documented
KPIs to Track
- ● Invite Rate
- ● Acceptance Rate
- ● Network Effect Multiplier
- ● Organic Share Rate
- ● Viral Coefficient (K-factor)
- ● Cycle Time
Common Mistakes to Avoid
Ehsan's Growth Commentary
After working with 60+ AI/ML companies, the pattern is clear: Viral Loops at the Series B stage requires systematic processes. The teams that win start smaller than they think they should and iterate 3x faster than their competitors.
With 30-80 people and $1.5-5M budget, focus Viral Loops efforts on the single highest-ROI activity. Do not spread thin across multiple sub-channels. Validate one approach before adding another.
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