Referral Programs for Hybrid AI/ML (Series C)
Referral Programs playbook for hybrid AI/ML companies at Series C. Tailored to the hybrid business model with implementation steps and expert guidance.
Timeline: 1-2 months
Prerequisites
- ✓ Product-market fit
- ✓ Analytics tracking key events
- ✓ Budget for 1-2 months
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 for hybrid AI/ML
- ✓ KPI baselines established
- ✓ Growth process documented
KPIs to Track
- ● Referred User LTV
- ● Program Participation Rate
- ● Viral Coefficient
- ● Referral Revenue %
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