Abstract: A number of effective alternatives for discouraging unauthorized online-resource sharing are discussed. An anti-sharing strategy can be built by applying one or more of the alternatives in response to possible, strongly-suspected or virtually certain unauthorized sharing.

Abstract: Access or utilization data of multiple products and services that are offered to customers on a “right-to-use” basis is analyzed to allocate revenues generated by the products fairly among them, for purposes such as business planning, performance measurement and account service.

Abstract: Users of a subscription product or service are ranked according to the value they receive from the service (computed as the ratio between worth received and cost). Users with similar value ranks are identified as likely to experience similar relationship events. This identification is acted upon by scheduling a workflow (e.g., a sales call or special price offer) designed to encourage or discourage the similar relationship event from occurring with the identified users. Value-ranked users can also be used to understand the effectiveness of marketing and lead-development activities, and to help plan and allocate advertising budgets to achieve particular customer characteristics.

Abstract: Customers who purchase a digital service under a subscription-like payment model are grouped according the value each receives, which is computed from stored transaction data as the amount the customer pays divided by the benefit the customer receives. Customers who pay more or less than a mid-range “normal” price may be given price adjustments to bring the value they receive closer to the normal price.

Abstract: A number of effective alternatives for discouraging unauthorized online-resource sharing are discussed. An anti-sharing strategy can be built by applying one or more of the alternatives in response to possible, strongly-suspected or virtually certain unauthorized sharing.

Abstract: Information that is useful to distinguish between two or more computer devices (a “device fingerprint”) is collected and stored in a database with corresponding state-management tokens such as HTTP cookies. The database is searched for a fingerprint, and if the fingerprint is found, the corresponding stored token is delivered to a computer device for the device's use in making subsequent requests for resources or services.