SEs own the technical win, so I anchor on technical win rate, not demo count. Demo count is the vanity trap here: it rewards activity while telling you nothing about whether the buyer's technical stakeholders actually said yes.
SE benchmarks are still emerging industry-wide; treat numbers as directional, not settled.
Shape of it
6 metrics
Share of deals with medium-or-heavier SE involvement that close won.
closed-won (SE-involved) / SE-involved evaluationsBenchmarkThe single most defensible SE number: SMB 50–65%, mid-market 40–55%, enterprise 25–40%
Isolates the SE contribution from commercial factors like price and terms.
Share of proofs-of-concept that meet agreed success criteria.
successful POCs / POCs runBenchmark60%+ on qualified POVs (sweet spot 60–70%); under 40% means POCs start without exit criteria, over 75% means you are running too few
A low rate signals POCs starting without agreed exit criteria.
Win-rate difference between SE-engaged deals and comparable deals without SE.
win rate (SE) − win rate (no SE), segment-matchedBenchmarkClose-won reaches 61% with heavy SE involvement vs 19% with none; must segment-match to avoid crediting deals that were already warm
The clearest argument for SE capacity, but easy to overstate without matched cohorts.
Number of AEs each SE supports.
Benchmark~1:2.9 in 2024 trending to 1:4; SMB tolerates 1:5+, enterprise needs 1:2–1:3 (Vivun)
The core SE capacity lever; drives hiring and coverage decisions.
Days a deal spends in the technical evaluation stage.
BenchmarkSE involvement saves ~7–11 days of cycle time on complex deals
Long validation lengthens the cycle and ties up scarce SE time.
Number of demos an SE delivered in a period.
BenchmarkA vanity metric: it rewards activity, not outcomes. Track technical win rate instead
Demo volume tells you nothing about whether the technical buyer said yes; report it only alongside conversion.