Dynamically generating pricing information for digital content
View Patent ↗A method, system, and medium are provided for dynamically generating pricing information for digital content. In exemplary aspects, the technology includes receiving a request for digital content from a mobile device. In addition, attributes associated with the mobile device and digital content are identified, and a purchase-prediction score associated with the mobile device and request for digital content is received. The purchase-prediction score is used to dynamically generate pricing information of the digital content. The purchase-prediction score is derived from values assigned to the attributes, the values quantifying a correlation between purchase trends and the attributes.
1. Non-transitory computer-readable media storing computer-useable instructions for performing a method of dynamically pricing digital content that is retrievable by a mobile device, the method comprising:
receiving from said mobile device a request for said digital content, the request including a mobile-device identifier;
referencing a user profile that is matched to the mobile-device identifier,
wherein the user profile lists a user attribute that is quantified by a user-attribute value;
determining that the user-attribute value is outside a range of user-attribute values;
in response to determining that the user-attribute value is outside the range, equating a purchase-prediction score (PPS) to the user-attribute value;
based on said PPS, dynamically generating pricing information of said digital content; and
communicating said pricing information to said mobile device.
2. The media of claim 1 , wherein the user profile lists a plurality of user-attribute values, each user-attribute value of the plurality of user-attribute values quantifying a respective user attribute.
3. Non-transitory computer-readable media storing computer-useable instructions for performing a method of dynamically pricing digital content that is retrievable by a mobile device, the method comprising:
receiving from said mobile device a request for said digital content, the request including a mobile-device identifier;
referencing a user profile that is matched to the mobile-device identifier, wherein the user profile lists a user attribute that is quantified by a user-attribute value;
calculating in real time a purchase-prediction score (PPS) based at least in part on the user-attribute value;
dynamically generating a purchase price of said digital content,
wherein the purchase price is equal to a regular purchase price when the PPS is above a range of threshold purchase-prediction scores,
wherein the purchase price is equal to a medium purchase price, which is less than the regular purchase price, when the PPS is within the range of threshold purchase-prediction scores; and
wherein the purchase price is equal to a low purchase price, which is less than the medium purchase price, when the PPS is below the range of threshold purchase-prediction scores; and
communicating said pricing information to said mobile device.
4. The media of claim 3 , wherein the user attribute is a device type embodied by the mobile device and the user-attribute value is a device-type attribute value, such that the PPS and the purchase price are based on the device type.
5. The media of claim 3 , wherein the method further comprises:
determining that the user-attribute value is not within a range of user-attribute values, and
in response to determining that the user-attribute value is not within the range, equating the PPS to the user-attribute value.
6. A method of dynamically pricing digital content that is retrievable by a mobile device, the method comprising:
receiving from said mobile device a request for said digital content, the request including a mobile-device identifier;
referencing in a datastore a user profile that is matched to the mobile-device identifier, wherein the user profile lists a user attribute that is quantified by a user-attribute value;
determining that the user-attribute value is outside a range of user-attribute values;
in response to determining that the user-attribute value is outside the range, equating a purchase-prediction score (PPS) to the user-attribute value;
based on said PPS, dynamically generating, by a computing device, pricing information of said digital content; and
communicating said pricing information to said mobile device.
7. The method of claim 6 , wherein the user profile lists a plurality of user-attribute values, each user-attribute value of the plurality of user-attribute values quantifying a respective user attribute.