Manifesto
Honest about the odds.
Too many ad-spend decisions are guesses dressed up as data. A number shown without its uncertainty looks like a fact — so people bet real budgets on it.
We built ROIS on a simple rule: tell the truth, including “we don't know yet.” Here's what we believe.
Honesty over false confidence
When the data is too thin to call, we say so. A real “insufficient signal” is more useful than a confident-looking number the data can't actually support.
Math you can see
Bayesian statistics and Monte Carlo, with every number traceable to its inputs. You shouldn't have to take a verdict on faith — you should be able to follow the reasoning.
The right tool for your scale
Machine learning is genuinely powerful — when there's enough data to feed it. Most advertisers aren't there yet: they have real people moving through a funnel, not millions of rows. At that scale, classical statistics is simply the more honest tool. As the data grows — yours and ours — we'll bring ML in where it truly earns its place.
Decide before you spend
Dashboards explain what already happened. We focus on the question that actually saves money: is this worth it, before the dollar goes out?
Good tools, not just for the big players
Honest math shouldn't be locked behind enterprise pricing. If you're a creator or a small brand, the odds should be readable to you too.
ROIS is French for kings — the piece the whole game turns on. Spending is a game of odds, like chess. We help you read the board before you move.
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