Automatically adaptive pricing for digital goods
US8332260B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 16, 2012 |
| Grant date | Dec 11, 2012 |
| Priority date | — |
| Expiry date | Mar 16, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/00
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
The price of digital content is set by a pricing module using data obtained from a statistics module. The statistics module includes historical information about a content author's previous works, including demand for those works, and tracks data such as how many downloads are requested for the current content being priced, how many users are watching or listening to previews of the digital content, and where users are located. The pricing module may make content available for free initially; alternatively an initial non-zero price is chosen. The pricing module increases the price and observes changes in demand to determine a best-fit demand curve. Once the best-fit demand curve is determined, a price for the content is selected to maximize revenue. As the demand curve shifts, the price is adjusted to maintain optimal demand. Price is also adjusted proactively based on demand predictions determined according to statistical and historical data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.