Predictify
Predictify.com was a Web 2.0 company based in Redwood City, California. It was founded by Stanford University graduates Parker Barrile and Michael Agnich. It went out of business in 2009, according to this article..
Users of the site users submitted deterministic, verifiable questions concerning future events. Other users then gave answers and predicted the outcome.
Users who answered questions were rewarded in two ways. First, the accuracy of user responses was tracked and reevaluated each time a question that the user answered closed. Predictify assigned users to one of five "levels" depending on the user's accuracy percentile. Users could also earn money for correctly answering "Premium Questions". Premium questions were generally submitted by companies. The submitter of a premium question received detailed demographic information and analysis on each answer given.
Companies could also use questions on Predictify to conduct guerilla advertising campaigns. Users would try to answer premium questions correctly, in order to win the cash prize associated with the question. In the course of formulating their prediction they may have researched the subject of the question. Companies could create interest in their products by asking questions about them; individuals answering the question may have visited the company's website to learn more about the product. Dilbert creator, Scott Adams, posted a question seeking sales volume projections of a book he authored. Early customers and partnerships were established by the company's first full-time employee, Ed Heacox.
The Washington Post, New York Times, and San Francisco Chronicle all have used Predictify to judge reader interest in stories.
According to an announcement made in Predictify's official page, the company ceased operations and shut down the entire Predictify service on September 1, 2009.
Users of the site users submitted deterministic, verifiable questions concerning future events. Other users then gave answers and predicted the outcome.
Users who answered questions were rewarded in two ways. First, the accuracy of user responses was tracked and reevaluated each time a question that the user answered closed. Predictify assigned users to one of five "levels" depending on the user's accuracy percentile. Users could also earn money for correctly answering "Premium Questions". Premium questions were generally submitted by companies. The submitter of a premium question received detailed demographic information and analysis on each answer given.
Companies could also use questions on Predictify to conduct guerilla advertising campaigns. Users would try to answer premium questions correctly, in order to win the cash prize associated with the question. In the course of formulating their prediction they may have researched the subject of the question. Companies could create interest in their products by asking questions about them; individuals answering the question may have visited the company's website to learn more about the product. Dilbert creator, Scott Adams, posted a question seeking sales volume projections of a book he authored. Early customers and partnerships were established by the company's first full-time employee, Ed Heacox.
The Washington Post, New York Times, and San Francisco Chronicle all have used Predictify to judge reader interest in stories.
According to an announcement made in Predictify's official page, the company ceased operations and shut down the entire Predictify service on September 1, 2009.
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