Events & Conferences for Usage-Based AI/ML (Growth)
Events & Conferences playbook for usage-based AI/ML companies at Growth. Tailored to the usage-based business model with implementation steps and expert guidance.
Timeline: 2-4 weeks
Prerequisites
- ✓ Product-market fit
- ✓ Analytics tracking key events
- ✓ Budget for 2-4 weeks
Step-by-Step Guide
Discovery & Audit phase for events conferences in ai-ml. Focus on understanding the landscape and planning.
Strategy Design phase for events conferences in ai-ml. Focus on understanding the landscape and planning.
Initial Implementation phase for events conferences in ai-ml. Focus on execution and iteration.
Measurement Setup phase for events conferences in ai-ml. Focus on execution and iteration.
Optimization Cycle phase for events conferences in ai-ml. Focus on execution and iteration.
Scale & Systematize phase for events conferences in ai-ml. Focus on execution and iteration.
Expected Outcomes
- ✓ Validated events & conferences for usage-based AI/ML
- ✓ KPI baselines established
- ✓ Growth process documented
KPIs to Track
- ● Attendee Satisfaction
- ● Speaking Slot ROI
- ● Booth Traffic
- ● Cost per Lead
- ● Pipeline Generated
- ● Post-Event Conversion
Common Mistakes to Avoid
Ehsan's Growth Commentary
After working with 75+ AI/ML companies, the pattern is clear: Events & Conferences at the Growth stage requires systematic processes. The teams that win start smaller than they think they should and iterate 3x faster than their competitors.
The first 90 days of Events & Conferences for AI/ML at Growth: 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