Referral Programs for Advertising AI/ML (Series B)
Referral Programs playbook for advertising AI/ML companies at Series B. Tailored to the advertising 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 advertising AI/ML
- ✓ KPI baselines established
- ✓ Growth process documented
KPIs to Track
- ● Referral Rate
- ● Referred User LTV
- ● Program Participation Rate
- ● Viral Coefficient
- ● Referral Revenue %
- ● Time to First Referral
Common Mistakes to Avoid
Ehsan's Growth Commentary
In my experience advising AI/ML companies, Referral Programs at Series B is a critical growth lever that deserves dedicated resources. The mistake is treating it as a project rather than a process. Build the team, build the dashboard, then build the machine.
AI/ML companies at Series B should allocate 15-25% of growth budget to Referral Programs. Track weekly, evaluate monthly, pivot quarterly. The winning rhythm is 2-week sprints with clear hypotheses.
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