Outbound Sales for Transactional AI/ML (Public)
Outbound Sales playbook for transactional AI/ML companies at Public. Tailored to the transactional business model with implementation steps and expert guidance.
Timeline: 1-2 weeks
Prerequisites
- ✓ Product-market fit
- ✓ Analytics tracking key events
- ✓ Budget for 1-2 weeks
Step-by-Step Guide
Discovery & Audit phase for outbound sales in ai-ml. Focus on understanding the landscape and planning.
Strategy Design phase for outbound sales in ai-ml. Focus on understanding the landscape and planning.
Initial Implementation phase for outbound sales in ai-ml. Focus on execution and iteration.
Measurement Setup phase for outbound sales in ai-ml. Focus on execution and iteration.
Optimization Cycle phase for outbound sales in ai-ml. Focus on execution and iteration.
Scale & Systematize phase for outbound sales in ai-ml. Focus on execution and iteration.
Expected Outcomes
- ✓ Validated outbound sales for transactional AI/ML
- ✓ KPI baselines established
- ✓ Growth process documented
KPIs to Track
- ● Activity per Rep
- ● Reply Rate
- ● Meeting Booked Rate
- ● SQL Conversion
- ● Average Deal Size
Common Mistakes to Avoid
Ehsan's Growth Commentary
Most AI/ML founders get distracted from Outbound Sales. My recommendation: build repeatable systems before hiring specialists. The companies reaching $10M ARR through Outbound Sales all share this pattern.
With 500+ people and $50M+ budget, focus Outbound Sales efforts on the single highest-ROI activity. Do not spread thin across multiple sub-channels. Validate one approach before adding another.
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