Partly, and the parts that break matter. ARR assumes a stable recurring subscription, but usage priced AI revenue swings with consumption, so a single ARR figure hides a lot. Gross margin, which SaaS people barely thought about because it was always around eighty percent, becomes a first order metric once inference costs scale with usage. And LTV to CAC gets shaky when both churn and expansion are far more volatile than in seat based software. What still holds: CAC payback, net revenue retention, and the discipline of measuring cohorts rather than aggregates. The practical move is to report ARR alongside gross margin and consumption growth rather than on its own, and to say explicitly which revenue is contracted and which is consumption based.
3 hand-picked resources, 3 link-checked. Pick how you want to dig in.
Why we picked it Names precisely which classic metrics stop working when revenue is consumption based and inference costs eat gross margin, then proposes replacements. The free preview alone reframes the problem.
From Growth Unhinged by Kyle Poyar 14 min read
Open growthunhinged.com →Why we picked it Survey data from over eight hundred private companies, with an efficient growth matrix that plots CAC payback against NRR so you can locate yourself rather than just read averages.
From Growth Unhinged by Kyle Poyar 20 min read
Open growthunhinged.com →Why we picked it The annual dataset on the hundred best private cloud companies, including growth rates, multiples, and how long it now takes to reach a hundred million dollars ARR. This is the definition of best in class, with numbers attached.
From Bessemer Venture Partners by Byron Deeter, Elliott Robinson, Sameer Dholakia and the Bessemer Atlas team 30 min read
Open bvp.com →How forecasting and gtm metrics reads from a different seat.
