Revenue Score methodology

Revenue Score (0-100)

A composite signal-quality score: Fit 40% + Capacity 35% + Recency 25%. Hover any score chip in the table for the per-factor breakdown.

Fit %

Effective Accelleron fitment weighting per engine mix (Weighted / Amount). For a blended fleet this differs from the per-engine probability and is the true driver of the Weighted value. Monitoring leads show 0% (confirmed not-Accelleron); Qualified leads show the effective rate baked per lead.

Fit (40%)

Fitment probability x 100 (effective, per engine mix). Computed as the per-lead baked probability scaled to 0-100.

Capacity (35%)

Derived fleet MW divided by the largest Qualified lead in this dataset (1,500 MW), scaled 0 to 100. Measures the addressable service volume.

Recency (25%)

Signal age from the latest verified source date: 100 if within 90 days, 50 if 91-180 days, 0 if older. Rewards recently confirmed activity.

Amount / Weighted

Amount is the estimated Accelleron service value for the engine fleet (base case). Weighted = Amount x fitment probability. Monitoring rows show no amount: they are rival-fit fleets with no Accelleron revenue modeled.