📄 Article
✓ Link checked
Free
Intermediate
When a founder assumes bigger deals automatically mean longer cycles, this data study is a useful reality check. HockeyStack ran regression across dozens of B2B SaaS companies and found cycle length explains only about a quarter of the variance in deal size, so product complexity, not price, tends to drive how slow a deal moves. It is a good starting point for grounding your revenue model in what the numbers actually show rather than gut feel.
How ACV, Sales Cycles, and Sales Reps Relate (HockeyStack Labs)
From HockeyStack by HockeyStack Labs
- Deal size and sales cycle length are more loosely coupled than most founders assume, so do not model your pipeline as if a high ACV forces a slow close.
- Product complexity and the number of stakeholders drive cycle length more than the sticker price, which is what you should watch when forecasting.
- Some companies close six-figure ACV deals inside 60 days, a reminder to segment your model by deal type instead of using one blended cycle.
