My Top 3 Go-to-market Efficiency Metrics You Should Track
In episode #336, Ben Murray breaks down his top three go-to-market efficiency metrics that every SaaS and AI operator should master. He explains when each metric becomes meaningful, how they differ across go-to-market motions, why ACV-based benchmarking matters, and how these metrics become forward-looking tools through forecasting. Ben also highlights the importance of having fully burdened sales and marketing expenses in place so these efficiency metrics are accurate and defensible.
What You’ll Learn
- The three most important go-to-market efficiency metrics and why they matter
- How ACV—not ARR—should drive your benchmarking
- Why these metrics are proactive when used in forecasting, not just historical
- How revenue types (subscription vs. usage vs. platform/overage) influence metric design
- The foundational role of fully burdened sales and marketing expenses
Why It Matters
- Enables operators to measure the true efficiency of sales and marketing investments
- Provides clarity on the health and scalability of the go-to-market motion
- Helps leadership benchmark realistically against peers using ACV-based expectations
- Allows finance teams to forecast forward-looking efficiency, not just track history
- Ensures efficiency metrics remain accurate as product pricing and revenue models evolve
- Prevents major errors caused by incomplete or misallocated CAC inputs
Resources Mentioned
- Ben’s SaaS Metrics Framework (Pillar 5: Go-to-Market Efficiency): https://www.thesaasacademy.com/the-saas-metrics-foundation
- Ray Rike's benchmarking data at benchmarkit.ai
- Blog posts on modifying metrics for subscription + usage revenue models: https://www.thesaascfo.com/how-to-calculate-cac-payback-period-with-variable-revenue/