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Alternative to classic research

Traditional Market Research vs AI Panel: Which Alternative Fits Your Launch

A custom study costs 15,000 to 50,000 dollars and takes 4 to 12 weeks. Panelia delivers a purchase intent distribution in 10 minutes, for about 1 euro.

You have a concept to test, a price to validate, or a message to choose before a launch. The standard answer is to call a research agency, wait for a quote, then sit through fieldwork while the calendar of a traditional study runs its course. Timelines rarely move at the pace a real decision needs.

The real cost of a classic study

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 climb to 75,000, even 225,000 dollars. A single focus group typically costs 7,000 to 20,000 dollars once you count recruitment, room rental, moderation, and incentives paid to participants.

The timeline follows the same pattern: expect 4 to 12 weeks between the initial brief and the final deliverable. For a study spanning several markets, that stretches further, 8 to 12 weeks, because fieldwork runs market by market before cross-market analysis can even start.

What this approach genuinely offers

It would be dishonest to say this way of working has no value. An agency that recruits real human respondents, runs rigorous fieldwork, and delivers a detailed analysis still matters for certain decisions: a regulatory question, a subtle cultural nuance, or a topic that genuinely needs face to face human interaction to observe. It simply is not the right format for most questions a product or marketing team faces every week.

What changes with a synthetic panel

Panelia flips the problem around. Instead of recruiting a human sample over several weeks, you describe your concept, price, and target market, and hundreds of synthetic respondents answer within minutes. The result is not a single opinion but a purchase intent distribution on a Likert scale, complete with a confidence interval, verbatims, and an executive summary. The calibration method, published on arXiv (identifier 2510.08338), is tuned against real human data rather than delivered as a black box.

In practice, the time between idea and result drops to roughly 10 minutes, at a cost of around one euro per test. That changes the nature of the decision itself: instead of one round per quarter, a team can test three price points, two headline variants, and a packaging alternative in the same week, before committing to the one that actually holds up.

A complementary method, not a promise of perfection

A synthetic panel remains a decision support tool. It does not replace a human test when the stakes are genuinely critical, whether that means regulatory approval or a launch backed by several million euros of media budget. What Panelia changes is how many iterations you can afford before reaching that final decision point, and the quality of the signal you can gather upstream, when a classic study would have been out of budget or out of time entirely.

If your next product or pricing decision does not justify a five figure budget and six weeks of waiting, testing the concept in ten minutes simply changes how fast you learn what actually works.

Frequently asked questions

Can a synthetic panel fully replace fieldwork research?
For testing a concept, price, or message before a decision, yes in most cases; for a regulatory or truly critical stake, complementary human validation is still recommended.
How long does it take to get a result with Panelia?
About 10 minutes between describing the concept and receiving the purchase intent distribution with confidence interval.
Does a synthetic panel replace a focus group?
It serves a different need: a focus group digs into the qualitative why, Panelia measures a numerical intent across a large simulated sample.

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