Concept testing asks which of your options people prefer. It is a good question, but a narrow one — the decision that mattered happened weeks earlier, when somebody made the cut. We don't just test concepts. We generate the ones worth testing.
{/* CTA row */}Not a case against concept testing. A case against letting a workshop three months ago decide what you are allowed to test.
Coca-Cola Spiced launched with fanfare in February 2024 and was pulled from shelves roughly seven months later. Liquid Death did the harder thing — entered a saturated category and closed a round in March 2024 valuing it at $1.4 billion. Neither outcome was settled by the quality of a preference test. Both were settled much earlier, by what was considered in the first place.
"A test result feels like an answer about the market. It is an answer about your shortlist — and your shortlist was set by whoever happened to be in a room on a Tuesday."
Three more pairs — where the concepts came from, which element is carrying one, and how to make the best of them stronger before you commit — are in the full table inside the paper.
AlgoVerde builds a living AI model of your market, and runs product decisions against it. Validation is one outcome of the loop rather than the only purpose of it — every cycle returns a better option than the one that went in.
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What each step actually produces, and the household-care scenario that runs through all six — from three concepts already chosen to a lead concept that did not exist when the process began — is inside the paper, alongside the full list of what you can put through the loop.
Working with a leading consulting firm, AlgoVerde reproduced a 2024 US consumer sentiment study using a Synthetic Panel representing the US population aged 18 and over, at the original sample size of 2,100.
The structure held. The same factors dominated both lists in the same order, and the same factors sat at the bottom of both.
Three customer-run validations — including a Global CPG that measured 90% alignment against its own purchase-intent panels, and a client that found the outputs close enough to replace three studies it had already paid for — are inside the paper, alongside the architecture that makes an answer defensible rather than merely plausible.
A preference test grades the options in the room. Explore the possibility space, generate the alternatives, stress-test them, improve them — and decide with the reasoning attached.