90 Days After Your VP Sales Leaves — A Timeline
Day 1: the forecast evaporates. Day 30: pipeline hygiene degrades. Day 60: key accounts surface as risks. Day 90: the CEO is running revenue.
Day 1: the forecast evaporates. Day 30: pipeline hygiene degrades. Day 60: key accounts surface as risks. Day 90: the CEO is running revenue.
At $8M you spend 25 hours/week on revenue. The benchmark says 15. The gap is architecture that was never built. The benchmark nobody publishes.
Logo retention: 88%. NRR: 108%. Expansion: 14%. But blended numbers hide segment divergence and a missing expansion engine. Five benchmarks.
A $15K deal closes in 38 days. A $75K deal takes 128. Your ‘average cycle’ describes neither. Segment benchmarks with structural drag signals.
Median realisation: 84% of list. Top quartile: 93%. At $15M ARR, 84% = $2.4M annual leakage. Five benchmarks with self-tests for tech CEOs.
Raw coverage: 3.4x. Weighted: 1.8x. The gap is 1.6x of phantom pipeline. Apply these stage probabilities to your numbers in 3 minutes.
Every benchmark you use is probably wrong — sourced from reports mixing $2M startups with $200M enterprises. These 5 are specific to the $5M–$50M band.
Capital deployed. Headcount doubled. Revenue grew 18%. The plan said 65%. Here are the 6 structural reasons capital does not fix architecture.
The $8M–$15M stall is not a sales problem. It is 5 structural constraints nobody is diagnosing — and the board keeps prescribing sales solutions. For tech CEOs.
Enterprise is not bigger mid-market. It breaks differently. 7 architecture failures nobody budgets for in the upmarket move. For $5M–$50M tech CEOs.