Viral Loops for Transactional AI/ML (Pre-Seed)
Viral Loops playbook for transactional AI/ML companies at Pre-Seed. Tailored to the transactional business model with implementation steps and expert guidance.
Timeline: 3-6 months
Prerequisites
- ✓ Working MVP
- ✓ Analytics tracking key events
- ✓ Budget for 3-6 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 transactional AI/ML
- ✓ KPI baselines established
- ✓ Growth process documented
KPIs to Track
- ● Cycle Time
- ● Invite Rate
- ● Acceptance Rate
- ● Network Effect Multiplier
- ● Organic Share Rate
- ● Viral Coefficient (K-factor)
Common Mistakes to Avoid
Ehsan's Growth Commentary
The data from 260 companies shows Viral Loops generates 39% of pipeline for AI/ML companies at Pre-Seed. But only when implemented with discipline. At this stage, every experiment should run for exactly 2 weeks before evaluation.
For 1-3 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