Referral Programs Playbook for AI/ML (Series C Stage)
Step-by-step referral programs playbook for AI/ML companies at Series C. Team: 80-200 people, budget: $5-15M. 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 referral programs in ai-ml. Focus on understanding the landscape and planning.
Strategy Design phase for referral programs in ai-ml. Focus on understanding the landscape and planning.
Initial Implementation phase for referral programs in ai-ml. Focus on execution and iteration.
Measurement Setup phase for referral programs in ai-ml. Focus on execution and iteration.
Optimization Cycle phase for referral programs in ai-ml. Focus on execution and iteration.
Scale & Systematize phase for referral programs in ai-ml. Focus on execution and iteration.
Expected Outcomes
- ✓ Validated referral programs as channel for AI/ML
- ✓ Baseline KPIs established
- ✓ Repeatable process documented
KPIs to Track
- ● Program Participation Rate
- ● Viral Coefficient
- ● Referral Revenue %
- ● Time to First Referral
- ● Referral Rate
- ● Referred User LTV
Common Mistakes to Avoid
Ehsan's Growth Commentary
Most AI/ML founders get distracted from Referral Programs. My recommendation: build repeatable systems before hiring specialists. The companies reaching $10M ARR through Referral Programs all share this pattern.
The first 90 days of Referral Programs for AI/ML at Series C: weeks 1-2 audit and baseline, weeks 3-6 first experiments, weeks 7-12 double down on winners. Do not skip the baseline step.
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