Abstract: Systems and methods associated with attachable contingent service (ACS) pricing are disclosed. One example method includes collecting data describing a replacement propensity for a product. The method also includes estimating expenses for providing an ACS for the product based on the replacement propensity. The method also includes estimating a consumer's expected willingness to pay for the ACS based on the replacement propensity. The method also includes offering to provide the ACS to a consumer who purchases the product. The ACS is offered at a price generated based on the expenses for providing the ACS and the consumer's expected willingness to pay for the ACS.

Abstract: Example embodiments relate to a resource market based on reusable usage points and usage periods. In some examples, a system may maintain multiple resources provided by at least one resource provider, each resource being conditionally accessible by a user. The system may maintain multiple types of usage periods, each different usage period type specifying a different duration. The system may maintain multiple types of usage points, the usage point types being respectively associated with the usage period types. The system may allow the user to access a first resource of the multiple resources during a particular usage period by allocating a number of usage points to the first resource. The usage may be allowed based on the usage period being of a first usage period type and the number of usage points each being of an associated first usage point type.

Abstract: Example embodiments relate to a resource market based on reusable usage points and usage periods. In example embodiments, a system may maintain multiple resources provided by at least one resource provider, each resource being accessible by a user. The system may maintain multiple consecutive usage periods, during which the user can use resources of the multiple resources. The system may maintain, for the user, a number of usage points that may be exchanged by the user for usage of at least one of the multiple resources. Each usage point may be associated with a particular usage period of the multiple consecutive usage periods. The system may, for each usage point, allow the user to allocate, re-allocate or refrain from allocating the usage point to a particular resource during the usage period associated with the particular usage point.

Abstract: A market for unbiased private individual data is disclosed. A data market maker managing the market collects information from owners of private individual data on their privacy and risk attitudes. The collected information includes choices from the owners of private individual data on different pricing schemes that reflect the privacy and risk attitudes of the owners of data. The data market maker receives requests for access to private individual data from data buyers over time and determines pricing menus listing prices for the data buyers to pay for access to the private individual data based on the collected information. The data market maker compensates the owners of the private individual data for selling access to their data to the data buyers.

Abstract: Example implementations relate to revenue generation based on introduction of revenue-generating features or inconvenience. In some implementations, the logarithmic convexity of a probability function is determined. The probability function may describe a probability that a user will continue to utilize the service based on a level of inconvenience or number of revenue-generating features introduced to the service. In some implementations, a number of periods for introducing the inconvenience or revenue-generating features may then be determined based on the log convexity of the probability function.

Abstract: Example implementations relate to revenue generation based on introduction of revenue-generating features or inconvenience. In some implementations, the logarithmic convexity of a probability function is determined. The probability function may describe a probability that a user will continue to utilize the service based on a level of inconvenience or number of revenue-generating features introduced to the service. In some implementations, a number of periods for introducing the inconvenience or revenue-generating features may then be determined based on the log convexity of the probability function.