Prediction Market

Prediction Markets on has now been sunsetted. This research method has been a fun experiment in itself, but we have not had sufficient interest to develop it further. Thank you for your interest in it.

Prediction Market is a customisable general-purpose tool for aggregating market predictions on social and technological issues. Instead of asking to review a product, advertising material, or a general statement as a consumer, respondents are asked to take a world view and bet on answers to questions about the future of a product, a market trend, or other people’s reaction to messages and advertising materials.

Example prediction questions you can pose to your audience:

  • Will Product A be a commercial success?
  • Will Product A be seen as comparably better than most of its competitors?
  • Will Name A be seen as a unique name within this product category?
  • Will Product A remain relevant in the market 2 years after launch? Or will it dwindle in popularity?
  • If Company A announced the launch of Product B, would it generate more hype than the launch of a new model of Samsung Galaxy?
  • If Company A announced the launch of Product B, would it steal at least 10% of sales of Company C’s products?

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Will the majority of people agree that an Automatic Ear Cleaner improves their lives?
No, majority won’t agree
A strong prediction (83% of bets)

Predictions for specific questions

For each question, you will see which prediction won. Based on the betting results, there will be either strong or weak prediction for one of the two sides of the argument presented to respondents, or "no prediction" when bets are split approximately equally.

Consensus history chart

Consensus history chart shows how bet allocation evolved as data collection progressed. The final split of the bets is used for prediction.

Comments in support of No, majority won’t agree

Comment Conviction score
not something vital to people 67%
I don't think ear wax removal is a life altering invention 67%
just does not sound like a product that would improve peoples lives so much as a convienience 57%
Never had a need and can't see a need now. 43%

Most convincing commentary

For each side of the argument, you will see respondents' rationale for making their prediction. Comments offered by respondents are judged by other respondents. Those rationales that are voted to be most convincing are used to persuade later respondents to predict a particular outcome. You will see top comments in your report.

Calibration accuracy
Bets placed on correct answer
Inaccurate responses (<50%)
Low accuracy (50% to 65%)
Good accuracy (>65%)

Calibration accuracy diagnostics

Calibration accuracy shows the percentage of bets placed on the correct answers in calibration questions. It shows how diligent, engaged, and knowledgeable study participants were. It serves as an indication for how reliable predictions would be.

Learn more about other parts of prediction market reports.

What’s special about prediction markets on

Prediction markets generally require smaller sample sizes than in traditional market research because respondents make predictions not just for themselves, but rather are asked to project their beliefs on the market as a whole.

For the same reason, prediction markets work well when you cannot directly access your target buyers, but can instead rely on others with sufficient knowledge of a topic. For example, you may be evaluating whether a new toy would be a hit with teenagers, but you cannot ask them directly due to legal restrictions in your country. With prediction markets, you can ask their parents and teachers to offer their judgement instead. prediction markets are optimised for consumers and panel responses, not trained experts who routinely make predictions. Our approach allows you to use low-cost sample and your own customers as research participants. In order to familiarise respondents with the procedure we start by training them using calibration questions; i.e., questions with one correct and one incorrect option about general or industry-specific facts.

On, prediction markets are done through a gamified chatbot-like interface designed to keep respondents engaged. They never see complicated words such as "prediction market", instead simple familiar terms such as "bets" and "odds" are used. Here is what actual respondents liked about taking part in past research:

I like the gambling/game aspect. It makes it way more entertaining and interesting to do.
It was fun and made me think (like a marketing person)
The guessing, the seeing other people's responses, the odds, the betting :)

It is easy to set up a prediction market test on using the guided interface, but if you ever need to chat, please let us know. Further, you can refer to technical notes.