Cheaper Market Research: Up to 99 Percent Less Than Traditional Budgets
A custom study costs 15,000 to 50,000 dollars. Panelia delivers a first result for about 1 euro, an order of magnitude gap to read carefully, not as a guarantee of an identical outcome.
Budget is often the real constraint behind the question of whether to test at all. A well run custom study is expensive, and that cost automatically rules out many decisions that would nonetheless be worth checking before being made on gut feeling.
The order of magnitude of the traditional market
A custom study run by an agency typically costs between 15,000 and 50,000 dollars depending on scope. Smaller one off projects start around 15,000 dollars; multi market qualitative studies can reach 75,000, even 225,000 dollars. A single focus group typically costs 7,000 to 20,000 dollars once you count recruitment, room, moderation, and incentives.
Against that backdrop, Panelia positions itself around one euro and ten minutes to get a purchase intent distribution with a confidence interval. The gap between one and fifteen thousand is already well above 99 percent, and even more so against the upper end of the range. That is a real, measurable order of magnitude gap, not a rounded marketing percentage.
What this gap does not mean
A cost gap of this size does not mean a strictly identical result between the two methods. A classic fieldwork study recruits real human respondents, with fieldwork and reporting that take several weeks; a synthetic panel simulates the responses of hundreds of calibrated personas within minutes. The two methods do not measure exactly the same thing in exactly the same way, and it would be dishonest to claim otherwise on the strength of an impressive savings figure.
Where the savings actually come from
Most of the cost of a traditional study does not come from the analysis itself, but from recruiting respondents, fieldwork logistics (room, travel, moderation), and the timeline that ties up a team for several weeks. A synthetic panel removes those three cost centers: no human recruitment, no fieldwork logistics, a result in minutes rather than weeks. The calibration method, published on arXiv (identifier 2510.08338), is tuned against real human data, which lets you display a confidence interval rather than a figure presented with no margin of error.
What this changes in practice for a team
At this cost level, the question is no longer "can we afford to test" but "can we afford not to test." A team can validate three price points, two message variants, and one packaging alternative in the same week, for a budget that would have covered only a fraction of a single focus group under the traditional method.
Limits worth keeping in mind
This is not a promise of a guaranteed outcome nor a universal substitute for a human test. For a regulatory stake or a launch backed by a significant media budget, complementary human validation is still recommended. The right way to use this cost gap is not to eliminate verification altogether, but to make verification routine where it used to be out of budget.
In practice
If the barrier to testing a hypothesis has always been budget rather than doubt about its usefulness, this cost gap directly changes how many decisions a team can afford to check before committing.
Frequently asked questions
- Is the 99 percent gap guaranteed across every study?
- It is an order of magnitude between a Panelia test around one euro and a traditional custom study at 15,000 dollars or more, not a guaranteed percentage in every individual case.
- Is a cheaper result necessarily less reliable?
- The cost drops because human recruitment and fieldwork logistics disappear, not because the calibration method is less rigorous: it is published on arXiv and tuned against real data.
- Should you still run a traditional study sometimes?
- Yes, for a regulatory stake or a launch backed by a significant media budget, complementary human validation is still recommended.