Inventory management integrating subscriber and targeting data

• US 10,410,237 B1
• Filed: 06/26/2006
• Issued: 09/10/2019
• Est. Priority Date: 06/26/2006
• Status: Active Grant

• Current Assignee: T-Mobile Innovations LLC (Deutsche Telekom AG)
• Original Assignee: Sprint Communications Company LP (Deutsche Telekom AG)
• Inventors: Barnes, James D., Sharma, Sanjay K., Distler, Peter H.
• Primary Examiner(s): Brown, Alvin L
• Application Number:
  US11/474,880
• Time in Patent Office: 4,824 Days
• Field of Search: 705 14
• CPC Class Codes: G06Q 30/0241 Advertisements

Abstract

Systems and methods for inventory management integrating subscriber and targeting data are provided. The method includes tracking historical inventory during a first time period for each of a plurality of advertising spots, the number of impressions for each spot. Each impression is categorized by segment. The method further includes predicting a future inventory available for a second time period based on the tracked inventory, and subtracting, on a segment-by-segment basis, inventory that is sold from the future inventory.

Claims

1. A method for creating a future advertisement inventory for use in connection with future advertisement spots that are delivered to mobile devices on a network of a wireless carrier, the method comprising:

recording, in a non-transitory memory of an events data store by executing an event handler that configures a processor of a server, event data for a plurality of advertisement events on mobile devices viewed by a plurality of subscribers, the event data for each of the plurality of advertisement events corresponding to a historical advertisement inventory viewed on a mobile device by a subscriber of the wireless carrier, and the event data including an advertisement identifier, a subscriber identifier, and a behavior on a mobile device by that subscriber;

storing, in a non-transitory memory, subscriber data for the plurality of subscribers, the subscriber data for each of the plurality of subscribers including the subscriber identifier and demographic information;

creating and storing, by a subscriber engine stored as a set of computer readable instructions on a non-transitory computer readable storage medium and executable by a processor of a server, segmented subscriber data for each of the plurality of subscribers, wherein the creating of segmented subscriber data comprises;

segmenting, by the subscriber engine, the subscriber data into a plurality of segments including lowest-level segments and higher-level segments, wherein each of the higher-level segments is a combination of two or more of the lowest-level segments, and

assigning, by the subscriber engine, at least one of the lowest-level segments based on the event data for that subscriber, and at least one of the lowest-level segments based on the demographic information for that subscriber;

creating and storing in non-transitory memory, by an inventory calculator stored as a set of computer readable instructions on a non-transitory computer readable storage medium and executable by a processor to configure a server, segmented event data for each of the plurality of advertisement events, wherein the creating of segmented event data includes merging the event data for the plurality of advertisement events with the segmented subscriber data for the plurality of subscribers based on subscriber identifiers in the event data and subscriber identifiers in the segmented subscriber data;

creating in a non-transitory memory, by the inventory calculator, the future advertisement inventory based on the creation of the segmented subscriber data and the creation of the segmented event data, for use in future advertising spots delivered to the plurality of subscribers via corresponding mobile devices coupled to the network, wherein the creating of future advertisement inventory includes analysis of the segmented subscriber data and the segmented event data;

updating, by an inventory manager stored as a set of computer readable instructions on a non-transitory computer readable storage medium and executable by a processor to configure a server, the future advertisement inventory based on at least one inventory rule by reducing inventory in a distributed manner from each of the lowest-level segments encompassed by a higher-level segment when inventory at the higher-level segment is committed, wherein the at least one inventory rule comprises at least one of reducing inventory from each of the lowest-level segments encompassed by the higher-level segment in equal amounts or reducing inventory from each of the lowest-level segments encompassed by the higher-level segment in proportionate amounts based on at least one of a campaign priority or an available inventory for each of the lowest-level segments; and

delivering, via the network by a delivery agent executing on a processor of a server, at least one advertisement to an advertisement spot in a mobile device based on the creation of the segmented subscriber data and the segmented event data and the updated future advertisement inventory.

2. The method of claim 1, further comprising:

revising, by the inventory calculator, the future advertisement inventory as additional historical inventory for subsequent time periods is known to the inventory calculator.

3. The method of claim 1, wherein a segment is at least one of a demographic grouping in a hierarchy or a behavioral grouping in a hierarchy.

4. The method of claim 1, wherein creating the future advertisement inventory further comprises:

adjusting an amount of spots in the future advertisement inventory based on impressions on a mobile device from a historical inventory stored in non-transitory memory, wherein the adjustment to the future advertisement inventory corresponds with growth or decline of usage.

5. The method of claim 1, wherein creating the future advertisement inventory further comprises:

tracking the historical inventory for one month,

estimating the future advertisement inventory for at least a subsequent month by using the historical inventory that is tracked for the one month, and

each month, updating the future inventory with each subsequent month of tracked historical inventory.

6. The method of claim 1, wherein creating the future inventory further comprises:

tracking the historical inventory every month for at least one year,

estimating the future inventory corresponding to a particular month in a subsequent year by using the historical inventory that is tracked for each month; and

each year, updating the future inventory for each particular month with the historical inventory that is tracked for each month during that year.

7. The method of claim 1, wherein updating the future advertisement inventory comprises reducing impressions or spots for a segment directly from the available inventory for the segment.

8. A system for creating a future advertisement inventory for use in connection with future advertisement spots that are delivered to mobile devices on a network of a carrier, the system comprising:

an events data store communicatively coupled to the network and comprising non-transitory memory that records event data for a plurality of advertisement events on mobile devices viewed by a plurality of subscribers of the wireless carrier, the event data for each of the plurality of advertisement events corresponding to a historical advertisement inventory viewed on a mobile device by a subscriber, and the event data including an advertisement identifier, a subscriber identifier, and a behavior on a mobile device by that subscriber;

a subscriber data store communicatively coupled to the network and comprising non-transitory memory that records subscriber data for a plurality of subscribers associated with mobile devices that connect to the network of the carrier, the subscriber data for each of the plurality of subscribers including the subscriber identifier and demographic information;

a server communicatively coupled to the subscriber data store and the event data store, the server comprising;

a processor,

a non-transitory memory coupled to the at least one processor,

a segmentation engine stored in the non-transitory memory that upon execution by the processor, configures at least one processor of the server to create segmented subscriber data for each of the plurality of subscribers by;

segmenting the subscriber data into a plurality of segments including fine-grained segments and higher-level segments, wherein each of the higher-level segments is a combination of two or more of the fine-grained segments, and

assigning one or more of the fine-grained segments based on the event data for that subscriber one or more of the fine-grained segments based on the demographic information for that subscriber,

an inventory calculator stored in the non-transitory memory that upon execution by the processor, configures at least one processor of the server to;

create segmented event data for each of the plurality of advertisement events by merging the event data for the plurality of advertisement events with the segmented subscriber data for the plurality of subscribers based on subscriber identifiers in the event data and subscriber identifiers in the segmented subscriber data, and

create a future advertisement inventory based on the creation of the segmented subscriber data and the creation of the segmented event data, wherein the future advertisement inventory corresponds to future advertising spots delivered to the plurality of subscribers via mobile devices coupled to the network, wherein creating the future advertisement inventory includes analyzing the segmented subscriber data and the segmented event data; and

an inventory manager stored in the non-transitory memory that upon execution by the processor, configures at least one processor of the server to update the future advertisement inventory based on at least one inventory rule by reducing inventory in a distributed manner from each of the fine-grained segments encompassed by a higher-level segment when inventory at the higher-level segment is committed, wherein the at least one inventory rule comprises at least one of reducing inventory from each of the fine-grained segments encompassed by the higher-level segment in equal amounts or reducing inventory from each of the fine-grained segments encompassed by the higher-level segment in proportionate amounts based on at least one of a campaign priority or an available inventory for each of the fine-grained segments; and

a delivery server coupled to the server and the network, the delivery server comprising a processor and a campaign delivery unit stored in the non-transitory memory that upon execution by the processor, configures the processor of the delivery server to deliver one or more advertisements via the network from the updated future advertisement inventory to an advertisement spot in a mobile device according to a campaign that targets specific segments.

9. The system of claim 8, further comprising:

an inventory rules data store that is communicatively coupled to the server and stores, in non-transitory memory, a plurality of inventory rules including the at least one inventory rule, wherein the plurality of inventory rules comprise usage patterns to increase or decrease predicted inventory, and distribution rules for how to distribute inventory committed for the higher-level segments over the fine-grained segments encompassed by the higher-level segments.

10. The system of claim 9, wherein at least one inventory rule of the plurality of inventory rules comprises reducing impressions or spots for a segment directly from an available inventory for the segment.

11. The system of claim 8, wherein the server further comprises:

an inventory reporter stored in the non-transitory memory that upon execution by the processor, configures at least one processor of the server to report amounts of inventory committed and amounts of inventory remaining available for use in advertising campaigns.

12. The system of claim 11, wherein the system further comprises a campaign data store that is communicatively coupled to the server and stores, in non-transitory memory, campaign data, wherein the campaign data includes at least one of:

a campaign start date, a campaign end date, one or more segments targeted by the campaign, a time of day during which the campaign is conducted, a location targeted by the campaign, or one or more spots targeted by the campaign.