Pilot-to-paid conversion behaves differently by buyer: school districts and corporate training convert at visibly different rates, and pilots funded from innovation budgets convert at roughly half the rate of those funded from the operating line. Ask which budget line funded the pilot.
Why do pilots look like revenue?
Because they frequently are revenue — small, real, invoiced. The problem is not that pilot income is fake but that it is a different asset class from committed budget, and a growth chart cannot distinguish them.
A company adding forty pilots a quarter and a company adding forty renewals a quarter look identical on the top line and are worth very different multiples.
The distinction also matters for how growth is presented rather than only for how it is valued. A company reporting bookings that mix pilots and renewals is reporting a number that will decelerate sharply the moment pilot growth slows, because the base does not compound. Separating the two series is a reasonable disclosure request and is frequently resisted, which is itself informative.
What does pilot-to-paid conversion run at?
Lower than sellers' own figures usually suggest, and highly variable by buyer type. The definition of "pilot" is doing a lot of work in any conversion statistic — some companies count a free trial, others count a paid proof of concept.
The first question in diligence is therefore definitional rather than numerical: what has to happen for something to be counted as a pilot, and what has to happen for it to be counted as converted — a distinction the product team can usually settle in one conversation.
Definitions also drift within a company over time, which makes its own historical conversion series unreliable as a benchmark for itself. A company that tightened what counts as a pilot two years ago will show improving conversion for reasons that have nothing to do with the product, and the change is rarely flagged in the materials.
Which signals separate the two?
Budget source, decision window, and whether a procurement process was run. A pilot that went through procurement is much closer to a renewal than one authorized by a department head from discretionary funds.
Usage metrics are the weakest signal and the one most often presented. High engagement in a pilot tells you the product works; it says almost nothing about whether a budget line exists for next year — the same gap that makes stated switching intent a poor predictor.
Procurement is the single most useful of the three signals because it is binary and verifiable. Either a formal process was run or it was not, and both the vendor and the district can confirm it without disclosing anything commercial. A pilot that cleared procurement has already survived the process most conversions fail at.
Whose budget funds a pilot?
Innovation or discretionary funds in most cases, which is precisely why conversion is hard. Moving from that budget to the operating line is a different decision, made by a different person, on an annual cycle.
Where a pilot was funded from the operating budget in the first place, conversion is materially more likely, because the transition has effectively already happened.
The competing-priority question is also the one a vendor is least able to answer about itself. A district weighing a renewal against a staffing decision or a building repair is making a comparison the vendor never sees, and the only way to establish it is to ask the district what else is in that budget line this year.
What should you ask a district?
Which budget the pilot came from, when the renewal decision window falls, and who signs it. Three questions, answerable on a single expert call. Those three answers predict conversion better than any usage metric the company can supply.
Ask also what else is competing for the same line. Edtech renewals frequently fail not on merit but because a different priority arrived in the same budget cycle.