Posted by: Matt Shanahan In the book Super Crunchers, Ian Ayres looked at hundreds of tests evaluating how data-based decision making (i.e., quantitative) fares in comparison with experience- and intuition-based decisions (i.e., qualitative). We were interested in doing the same thing regarding license revenue optimization in paid content. When a publisher designs a license for paid content (i.e., packaging and pricing of access to media and information), they do so with an expectation of how much media or information will be consumed (i.e., the level of engagement). Typically, the license is defined in terms of sections, volume, numbers of users and usage rights. When a new license is introduced, the initial price is usually based on previous experience and intuition of […]
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