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How ACV, Sales Cycles, and Sales Reps Relate (HockeyStack Labs)

HockeyStack Labs · HockeyStack 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.

  • 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.
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The question it answers

  1. How do I model a business that sells to enterprises with long sales cycles and few big deals?

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